Senior Software Engineer, Backend - Internal Tools | Los Angeles, CA

The opportunity

Build a new internal tools platform from the ground up, bringing legacy systems together into a modern advertiser management platform. You will shape APIs, middleware, backend services and the data model, working across product and engineering teams to deliver reliable, high-performance software.

Role details

Location: Los Angeles, California. Candidates must be based in the Pacific Time zone; Los Angeles is preferred.

Work arrangement: Hybrid preferred, with three days per week in Santa Monica. Fully remote or hybrid flexibility is available depending on location, with some travel to Santa Monica.

Employment: Full-time

Base salary: $175,000-$195,000 per year, depending on location, knowledge, skills and experience.

Relocation assistance: Not available. Visa sponsorship: Not available now or in the future.

Security clearance: Not required. Travel: Occasional.

What you will do

Design, build and maintain scalable Java and Spring Boot backend services, RESTful APIs and microservices.

Help define system architecture and technology choices, with a focus on reliability, performance and maintainability.

Design and optimise relational schemas and queries, protecting data integrity and consistency.

Consolidate internal tools and integrate systems across Publisher, Merchant and other business teams.

Develop APIs and services that can support AI use cases.

Troubleshoot complex issues, improve performance and refactor the codebase.

Maintain strong testing, code review and documentation practices.

Evaluate useful tools and frameworks, including AI-assisted development tooling.

What you will bring

6+ years of professional backend development experience, including delivery of high-performance systems.

Strong Java and hands-on Spring Boot experience, plus solid RESTful API design and implementation skills.

Expertise in relational databases such as MySQL or PostgreSQL, including schema design and query optimisation.

Strong software architecture, design patterns, distributed systems and microservices knowledge.

Practical daily use of AI coding tools such as Claude Code, GitHub Copilot or Cursor for generation, refactoring, testing and debugging. You must critically review generated code and take ownership of what you ship.

Excellent communication, cross-functional collaboration and analytical problem-solving skills; experience working in Agile teams.

A professional LinkedIn profile. A Computer Science, Engineering or related degree is preferred, not required.

Useful additional experience

Python, Node.js or Go; NoSQL databases or analytical warehouses such as BigQuery.

Integrating LLM APIs or building internal AI-powered tools.

Building new internal platforms and integrating multiple tools or legacy systems.

Benefits

Medical, dental and vision cover; 401(k) matching; life and AD&D insurance; short- and long-term disability; maternity, paternity and medical leave; flexible time off and paid holidays; learning and development; wellness resources; equity; team events and office food and snacks.

Senior Technical Lead, Architecture – Enterprise Risk Delivery | McLean, VA or Plano, TX

Location: McLean, Virginia or Plano/Dallas, Texas

Work Arrangement: Primarily onsite, with up to six remote weeks per year subject to manager approval

Employment Type: Full-time

Visa Sponsorship: Not available

Relocation Assistance: Available for exceptional candidates

Compensation: $210,000–$230,000 base salary plus annual bonus; approximately $250,000–$280,000 OTE depending on experience

Overview

A leading financial-services organization is seeking a Senior Technical Lead, Architecture – Enterprise Risk Delivery to provide architectural leadership across a portfolio of enterprise-risk technology initiatives.

This Director-level individual-contributor role will design and govern enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes and Compliance. The successful candidate will partner with engineering, data, product, security and business stakeholders to drive enterprise modernization, cloud transformation and Generative AI adoption.

Key Responsibilities

Enterprise Solution Architecture

• Design secure, scalable enterprise solution architectures.

• Define architectural blueprints and implementation roadmaps.

• Establish architecture standards, design patterns and best practices.

• Ensure long-term scalability, maintainability and resilience.

• Lead architecture reviews and complex technical decisions.

• Balance innovation, delivery speed and technical debt.

Enterprise Risk Technology

• Deliver technology solutions supporting financial risk, non-financial risk, financial crimes and regulatory compliance.

• Enable enterprise data integration and risk analytics.

• Support regulatory obligations through modern technology platforms.

• Align risk solutions with enterprise architecture, security and data standards.

Cloud and Modern Engineering

• Architect cloud-native enterprise solutions.

• Drive modernization across distributed systems.

• Lead API-first and microservices-based architecture strategies.

• Design integration patterns and micro-frontend solutions.

• Apply twelve-factor application-design principles.

• Support enterprise AI, Generative AI and AI-enabled solution initiatives.

• Guide use of AWS, Azure or GCP, Kubernetes, Kafka and modern engineering platforms.

• Promote CI/CD, DevOps, Agile delivery and enterprise platform engineering.

Technical Leadership and Collaboration

• Provide technical leadership across engineering, architecture and product teams.

• Mentor engineers and influence technical direction without formal line-management authority.

• Translate complex business requirements into practical technical solutions.

• Collaborate with enterprise architecture, security, data and engineering organizations.

• Influence executives through clear technical communication.

• Evaluate emerging technologies against strategic goals.

• Drive enterprise transformation while remaining hands-on with architectural decisions.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering or a related discipline.

• At least 10 years of hands-on software-engineering experience.

• At least eight years in architecture or senior technical leadership.

• Extensive experience leading large-scale enterprise architecture initiatives.

• Enterprise solution architecture, cloud architecture, microservices, API architecture and integration expertise.

• Experience designing cloud-native architectures using AWS, Azure or GCP.

• Strong experience with Kubernetes, Kafka, Java, Python and modern distributed systems.

• Experience with Angular, micro frontends and twelve-factor application design.

• Knowledge of CI/CD, DevOps, Agile delivery and enterprise platform engineering.

• Experience implementing or architecting Generative AI or AI-enabled solutions.

• Experience within a highly regulated industry such as financial services, banking, mortgage or healthcare.

• Strong architecture-governance, executive-communication and cross-functional leadership skills.

• Ability to work primarily onsite in McLean, Virginia or Plano/Dallas, Texas.

• Current authorization to work in the United States without sponsorship.

Preferred Qualifications

• Master’s degree.

• Mortgage or housing-finance experience.

• AWS Solutions Architect Professional or equivalent cloud certification.

• Enterprise digital-transformation leadership.

• Enterprise data-platform and analytics experience.

• Regulatory-technology experience.

Ideal Candidate

The ideal candidate is an experienced enterprise architect with deep cloud and modern-software expertise. They will have led architecture strategy across complex enterprise environments, delivered within regulated industries and influenced executive stakeholders while remaining close to technical decision-making.

They will combine AWS, Kubernetes, Kafka, Java, Python, APIs, microservices, DevOps and GenAI knowledge with sound architecture governance and the ability to turn complex risk and compliance challenges into scalable enterprise solutions.

Equal Opportunity

The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected under applicable federal, state or local law.

Lead Data Scientist | Remote – GA, LA, OK, TN or TX

Location: Remote within Georgia, Louisiana, Oklahoma, Tennessee or Texas

Primary Business Location: Houston, Texas

Work Arrangement: Fully remote within an approved state

Employment Type: Full-time, permanent

Industry: Healthcare and Health Technology

Experience Level: Experienced Individual Contributor / Technical Lead

Reports To: Manager, Data Science

Base Salary: $143,000–$180,000

Travel: Up to 20%

Relocation Assistance: Not available

Visa Sponsorship: Limited sponsorship may be considered

Position Overview

A leading healthcare organization is seeking an experienced Lead Data Scientist to lead high-priority analytical projects and solve complex organizational challenges using advanced statistical analysis, machine learning, predictive modeling and data visualization.

This is a hands-on technical leadership position. The successful candidate will remain actively involved in data exploration, model development, testing and interpretation while guiding projects, partnering with internal customers and mentoring other data scientists.

Key Responsibilities

• Lead analysis of complex structured and unstructured datasets.

• Develop, test, validate and maintain machine-learning and predictive models.

• Apply regression, time-series forecasting, classification, clustering, decision trees, neural networks, A/B testing and hypothesis testing.

• Evaluate model accuracy, stability, interpretability and fitness for purpose.

• Document methodologies, assumptions, limitations and validation results.

• Research and resolve data-quality problems across incomplete or inconsistent sources.

• Build repeatable analytical processes and production-ready solutions.

• Translate complex findings into clear recommendations for technical teams, business leaders and executives.

• Lead projects from discovery through modeling, implementation and measurement.

• Mentor data scientists and raise technical standards across the team.

• Partner with engineering, analytics, clinical and operational stakeholders.

• Support responsible and practical use of advanced analytics within healthcare.

Required Qualifications

• Advanced degree or equivalent experience in data science, statistics, mathematics, computer science, engineering, economics or a related quantitative discipline.

• Extensive professional data-science and advanced-analytics experience.

• Expert knowledge of statistical analysis, machine learning and predictive modeling.

• Strong programming experience using Python, R, SQL or comparable tools.

• Experience working with large, complex datasets and resolving data-quality issues.

• Ability to explain sophisticated concepts clearly to non-technical audiences.

• Strong project leadership, consulting and stakeholder-management skills.

• Ability to remain hands-on while leading technical delivery.

• Residence in Georgia, Louisiana, Oklahoma, Tennessee or Texas.

Preferred Qualifications

• Healthcare or health-technology experience.

• Experience deploying and monitoring models in production environments.

• Cloud analytics, distributed-computing or big-data experience.

• Experience mentoring technical professionals and leading cross-functional projects.

• Knowledge of data governance, privacy and responsible AI practices.

Equal Opportunity

The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected by applicable law.

Databricks Data Engineer – Sales Incentive Compensation | New York, NY

Databricks Data Engineer – Sales Incentive Compensation

📍 Location: New York, New York
🏢 Work Arrangement: Hybrid
📄 Contract Length: Six Months
💰 Hourly Rate: Approximately $75 per hour
💼 Employment Type: Contract
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
🏦 Industry: Insurance and Financial Services

Build the Data Infrastructure Behind Enterprise Sales Compensation

A leading global organization is seeking an experienced Databricks Data Engineer to design, develop and optimize enterprise data solutions supporting analytics, performance reporting and Sales Incentive Compensation.

This is not purely a pipeline-development position. The successful candidate will combine strong Databricks engineering expertise with an understanding of incentive compensation processes, including quota allocation, attainment calculations, commission processing and payout reporting.

You will work closely with Sales Operations, Finance, Business Intelligence and technology teams to translate complex business rules into scalable, accurate and auditable data solutions.

Why This Opportunity Stands Out

This opportunity will allow you to:

• Own the design and development of enterprise Databricks solutions

• Influence the wider Databricks architecture and technical roadmap

• Build data pipelines supporting business-critical compensation processes

• Work with Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows

• Translate complex incentive-plan rules into reliable transformation logic

• Improve automation, integration, data quality and platform performance

• Partner directly with senior Finance, Sales Operations and technology stakeholders

• Deliver solutions that directly influence commission and compensation accuracy

What You’ll Be Doing

Databricks Architecture and Engineering

• Design, develop and implement scalable Databricks-based data solutions

• Build and maintain data pipelines supporting ingestion, transformation, reporting and analytics

• Develop data models, Delta Lake tables, notebooks and reporting datasets

• Take ownership of the overall Databricks architecture

• Ensure new pipelines and enhancements integrate effectively with existing workflows

• Maintain and optimize Databricks workspaces, pipelines and orchestration processes

• Identify opportunities to improve automation, performance and data integration

• Design reliable ETL and ELT processes across multiple enterprise data sources

Sales Incentive Compensation

• Build data pipelines supporting Sales Incentive Compensation processes

• Translate incentive-plan rules into accurate and auditable data transformations

• Support quota allocation and quota-management processes

• Develop logic for attainment tracking and performance calculations

• Support commission calculations and payout processing

• Produce reliable datasets for compensation reporting and reconciliation

• Work closely with Sales Operations and Finance to understand plan structures and business rules

• Ensure calculation logic is transparent, documented and capable of being audited

• Integrate incentive-compensation platforms with enterprise data and analytics solutions

Performance and Data Quality

• Test, debug and optimize Databricks pipelines and notebooks

• Investigate and resolve data-quality, performance and integration issues

• Improve the reliability and efficiency of existing workflows

• Implement appropriate controls and validation processes

• Monitor data pipelines and troubleshoot failures or inconsistencies

• Deliver a high-quality experience for analysts and other data consumers

Stakeholder and Technical Collaboration

• Work with business stakeholders to understand complex data requirements

• Translate functional requirements into scalable technical architectures

• Challenge requirements constructively when a more effective solution is available

• Partner with Finance, Sales Operations, IT and Business Intelligence teams

• Provide technical support to analysts and end users

• Communicate technical concepts clearly to both technical and non-technical audiences

• Manage multiple priorities within a fast-paced enterprise environment

Documentation and Platform Development

• Document data architectures, models, pipelines and configuration decisions

• Produce clear technical specifications and development documentation

• Maintain documentation to support knowledge transfer and long-term platform ownership

• Stay current with Databricks capabilities and platform enhancements

• Identify opportunities to use features such as Unity Catalog, Delta Live Tables and Photon

What You’ll Bring

Essential Databricks and Data Engineering Experience

• At least seven years of professional data-engineering experience

• A minimum of three years of hands-on Databricks experience

• Extensive experience building and managing production Databricks solutions

• Strong knowledge of:

• Delta Lake

• Delta Live Tables

• Unity Catalog

• Databricks Workflows

• Databricks notebooks and workspaces

• Advanced proficiency in Python and/or Scala

• Strong SQL development expertise

• Experience with data ingestion, transformation, ETL/ELT and data modelling

• Experience designing and orchestrating enterprise data pipelines

• Strong understanding of data quality, scalability and performance optimization

Sales Incentive Compensation Experience

• Functional and technical experience with Sales Incentive Compensation processes

• Understanding of incentive-plan design and compensation rules

• Experience supporting quota allocation and management

• Knowledge of sales-attainment calculations

• Experience with commission calculation and payout processing

• Ability to model complex incentive rules within data pipelines and transformation logic

• Experience partnering with Sales Operations and Finance stakeholders

Cloud and Integration Experience

• Experience integrating Databricks with at least one major cloud platform:

• Microsoft Azure

• Amazon Web Services

• Google Cloud Platform

• Experience working with integration and ingestion technologies such as:

• Azure Data Factory

• Azure Event Hubs

• Apache Kafka

• Comparable cloud-based data-integration tools

• Ability to create holistic, end-to-end data solutions rather than isolated pipelines

Professional Capabilities

• Strong stakeholder-management and consulting skills

• Ability to translate complex business requirements into scalable data architectures

• Excellent analytical and problem-solving capabilities

• Strong written and verbal communication skills

• Ability to work effectively with cross-functional teams

• Resourceful and comfortable working with minimal direction

• Strong technical-documentation skills

• Ability to manage competing priorities and deadlines

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology or a related discipline

Preferred Experience

• Experience integrating Databricks with platforms such as:

• Anaplan

• Oracle Incentive Compensation

• Varicent

• Comparable Sales Performance Management platforms

• Databricks Certified Data Engineer Associate certification

• Databricks Certified Data Engineer Professional certification

• Experience using Photon to improve query and workload performance

• Previous experience within insurance, financial services or another large regulated enterprise

• Experience delivering auditable financial or compensation-related data solutions

The Ideal Candidate

The ideal candidate will be an experienced Databricks engineer who understands that compensation data requires exceptional accuracy, traceability and control.

You will be comfortable moving between detailed technical development and strategic conversations with Finance, Sales Operations and technology leaders. You should be willing to challenge requirements constructively, propose stronger architectural solutions and take ownership of delivery from initial design through testing, deployment and production support.

Most importantly, you will be able to combine enterprise data-engineering expertise with a practical understanding of how incentive plans, quotas, attainment calculations, commissions and payouts operate.

Contract Details

• Initial Contract: Six months

• Hourly Rate: Approximately $75 per hour

• Location: New York, New York

• Working Arrangement: Hybrid

• Visa Sponsorship: Not available

• Relocation Assistance: Not available

Ready to Build Business-Critical Data Solutions?

If you have deep Databricks expertise and experience translating complex Sales Incentive Compensation processes into scalable, accurate and auditable data solutions, this position offers the opportunity to make an immediate impact within a major enterprise environment.

Senior Technical Lead, Enterprise Risk Architecture – McLean, VA

Senior Technical Lead, Architecture – Enterprise Risk Delivery

📍 Location: McLean, VA
🏢 Work Arrangement: Primarily Onsite (Up to 6 Remote Weeks Per Year with Manager Approval)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Available for Exceptional Candidates
💰 Compensation: $210,000 – $230,000 Base Salary + Annual Bonus

Overview

A leading financial services organization is seeking a Senior Technical Lead, Architecture – Enterprise Risk Delivery to provide architectural leadership across a portfolio of enterprise risk technology initiatives.

This Director-level individual contributor role is responsible for designing and governing enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes, and Compliance functions. The successful candidate will lead solution architecture across complex business domains while partnering closely with engineering, data, product, security, and business stakeholders to drive enterprise modernization initiatives, including cloud transformation and GenAI adoption.

Key Responsibilities

Enterprise Solution Architecture

• Design enterprise-scale, secure, and scalable solution architectures.

• Define architectural blueprints and implementation roadmaps.

• Establish architecture standards, design patterns, and best practices.

• Ensure long-term scalability, maintainability, and resilience of enterprise platforms.

Technical Leadership

• Provide technical leadership across engineering, architecture, and product teams.

• Mentor engineering teams and influence technical direction.

• Conduct architecture reviews and provide guidance on complex technical decisions.

• Balance innovation, delivery speed, and technical debt.

Enterprise Risk Technology

• Deliver technology solutions supporting:

• Financial Risk

• Non-Financial Risk

• Financial Crimes

• Regulatory Compliance

• Enable enterprise data integration and risk analytics.

• Support regulatory compliance through modern technology solutions.

Cloud & Modern Engineering

• Architect cloud-native enterprise solutions.

• Drive modernization initiatives across distributed systems.

• Lead API-first, microservices-based architecture strategies.

• Support enterprise AI and Generative AI initiatives.

Stakeholder Collaboration

• Partner with business leaders to translate requirements into technical solutions.

• Collaborate with enterprise architecture, security, data, and engineering organizations.

• Influence executive stakeholders through clear technical communication.

• Evaluate emerging technologies aligned with strategic business goals.

Required Qualifications

Education

• Bachelor's Degree in Computer Science, Engineering, or a related discipline.

• Master's Degree preferred.

Experience

✔ 10+ years of software engineering experience.

✔ 8+ years in architecture or senior technical leadership.

✔ 15+ years of overall technology experience preferred.

✔ Experience leading large-scale enterprise architecture initiatives.

✔ Experience within highly regulated industries such as:

• Financial Services

• Banking

• Mortgage

• Healthcare

Technical Expertise

Enterprise Architecture

• Solution Architecture

• Enterprise Architecture

• Microservices Architecture

• API Design & Integration

• Integration Patterns

• Micro Frontends

• Twelve-Factor Application Design

Cloud Platforms

• AWS (Preferred)

• Microsoft Azure

• Google Cloud Platform (GCP)

Modern Technologies

• Kubernetes

• Kafka

• Java

• Python

• Angular

DevOps & Engineering

• CI/CD

• DevOps Practices

• Agile Methodologies

• Enterprise Platform Engineering

Artificial Intelligence

• Generative AI (GenAI)

• AI Solution Design

• Enterprise AI Integration

Preferred Qualifications

• Experience within the mortgage or housing finance industry.

• Cloud Architecture certifications (AWS Solutions Architect Professional or equivalent).

• Experience leading enterprise digital transformation initiatives.

• Background in enterprise data platforms and analytics.

• Experience supporting regulatory technology solutions.

Must-Have Skills

Architecture

• Enterprise Solution Architecture

• Cloud Architecture

• Microservices

• API Architecture

• Enterprise Integration

Cloud & Infrastructure

• AWS (Preferred)

• Azure or GCP

• Kubernetes

• Kafka

Development

• Java

• Python

• Angular

Leadership

• Technical Leadership

• Enterprise Strategy

• Executive Communication

• Cross-Functional Collaboration

• Architecture Governance

Modern Engineering

• CI/CD

• DevOps

• Agile Delivery

• AI / GenAI

Screening Questions

1. Do you have at least 10 years of hands-on software engineering experience?

2. Do you have 8 or more years of experience in solution architecture or technical leadership?

3. Have you designed enterprise-scale cloud-native architectures using AWS, Azure, or GCP?

4. Do you have experience with Kubernetes, Kafka, Java, Python, and modern distributed systems?

5. Have you designed microservices, APIs, integration patterns, and cloud-native enterprise platforms?

6. Do you have experience implementing or architecting Generative AI or AI-enabled solutions?

7. Have you worked within highly regulated industries such as financial services, banking, mortgage, or healthcare?

8. Have you led enterprise transformation or modernization initiatives?

9. Do you hold any cloud architecture certifications (AWS Solutions Architect Professional or equivalent)?

10. Are you comfortable working onsite in McLean, VA with limited remote flexibility?

Ideal Candidate Profile

The ideal candidate will:

• Be an experienced enterprise architect with deep technical expertise.

• Have successfully led architecture strategy across complex enterprise environments.

• Possess extensive cloud architecture experience, particularly with AWS.

• Demonstrate expertise in modern software engineering, APIs, and microservices.

• Have experience delivering technology within highly regulated industries.

• Be comfortable influencing executives and senior business stakeholders.

• Mentor engineering teams while remaining hands-on with architectural decision-making.

• Drive innovation through cloud modernization, DevOps, and AI technologies.

Candidate Snapshot

Requirement

Details

Experience

15+ Years Overall Technology Experience

Leadership

Director-Level Individual Contributor

Architecture

Enterprise Solution Architecture

Cloud

AWS (Preferred), Azure, GCP

Technologies

Kubernetes, Kafka, Java, Python, Angular

Engineering

Microservices, APIs, DevOps, CI/CD

Industry

Financial Services / Highly Regulated Environment

AI

GenAI & Enterprise AI Solutions

Location

McLean, VA

Work Arrangement

Primarily Onsite (Up to 6 Remote Weeks Per Year)

Compensation

$210K – $230K + Bonus

Relocation

Available for Exceptional Candidates

What Makes Someone Successful in This Role?

• Deep expertise in enterprise architecture and cloud-native solution design.

• Strong leadership while operating as a hands-on technical contributor.

• Ability to translate complex business challenges into scalable technical solutions.

• Experience driving enterprise modernization and digital transformation.

• Strong understanding of risk, compliance, and secure architecture within regulated industries.

• Exceptional communication skills with both executive leadership and engineering teams.

• Passion for mentoring engineers, driving innovation, and adopting emerging technologies such as Generative AI.

Senior Platform Engineer – WebSphere / WebLogic | Enterprise Middleware Engineering | Atlanta, GA

Senior Platform Engineer – WebSphere / WebLogic

📍 Atlanta, Georgia (Hybrid – 3 Days Onsite)
💰 $105,000 - $160,000 Base Salary + Annual Incentive Opportunity
🏠 Flexible Hybrid Schedule (Teams Select Their Onsite Days)
☁️ Enterprise Middleware & Platform Engineering
🚀 Modernization, Automation & Cloud Enablement Initiatives

Help Power the Critical Middleware Platforms Behind a Global Enterprise

A global organization supporting large-scale technology operations across multiple business units is seeking a Senior Platform Engineer – WebSphere / WebLogic to join its enterprise platform engineering team.

This is an outstanding opportunity for a middleware expert who enjoys designing, maintaining, automating, and modernizing mission-critical application platforms that support thousands of users and business-critical applications worldwide.

You'll play a key role in the evolution of a highly complex enterprise environment, helping drive reliability, security, performance, automation, and modernization initiatives across a diverse application hosting landscape.

If you're passionate about enterprise infrastructure, middleware technologies, automation, and cloud transformation, this role offers significant ownership, technical challenge, and long-term career growth.

Why This Opportunity Stands Out

This isn't a traditional support role.

You'll be a senior member of a geographically dispersed engineering team responsible for some of the organization's most critical application platforms. You'll work closely with architects, developers, security teams, cloud engineers, and business stakeholders to ensure highly available, secure, and scalable environments.

This role offers the opportunity to influence platform strategy, drive modernization efforts, mentor junior engineers, and help shape the future of enterprise middleware services.

Highlights include:

• Ownership of mission-critical WebSphere and WebLogic environments

• Significant involvement in automation and platform modernization initiatives

• Exposure to cloud hosting and containerized workloads

• Opportunity to influence platform architecture and engineering standards

• Work within a highly collaborative enterprise technology environment

• Mentor and guide junior engineering talent

• Strong career progression opportunities within a large-scale technology organization

What You'll Be Doing

Enterprise Middleware Administration

• Design, build, maintain, and optimize enterprise application hosting platforms

• Administer complex IBM WebSphere and Oracle WebLogic environments

• Configure and manage clustered middleware environments

• Implement secure, highly available, and scalable platform solutions

• Perform platform upgrades, migrations, and modernization activities

• Ensure platform reliability, availability, and performance across production environments

Platform Engineering & Automation

• Drive automation initiatives across platform deployment and administration activities

• Develop and maintain scripts, tooling, and automation frameworks

• Support CI/CD pipeline integration and deployment automation

• Improve operational efficiency through infrastructure and platform automation

• Implement repeatable engineering standards and best practices

Performance Optimization & Reliability

• Monitor and optimize middleware platform performance

• Conduct capacity planning and performance tuning activities

• Troubleshoot complex platform, application, and infrastructure issues

• Perform root cause analysis and implement permanent corrective actions

• Support business-critical applications with a focus on uptime and stability

Security & Compliance

• Implement security best practices across middleware environments

• Manage SSL/TLS certificates and secure communications

• Support authentication and authorization solutions including LDAP and SSO

• Ensure compliance with enterprise security standards and policies

• Partner with security teams on platform hardening initiatives

Cloud & Containerization Initiatives

• Support modernization efforts involving cloud-hosted middleware platforms

• Participate in containerization initiatives utilizing Docker and Kubernetes

• Assist with migration and transformation projects

• Help establish best practices for modern application hosting environments

Collaboration & Technical Leadership

• Partner with developers, architects, product teams, and infrastructure teams

• Support complex technical initiatives from design through implementation

• Provide guidance and mentorship to junior engineers

• Participate in technical reviews and knowledge-sharing activities

• Create and maintain platform documentation, standards, and procedures

What We're Looking For

Required Experience

• 5+ years of enterprise platform engineering, middleware administration, or infrastructure engineering experience

• Deep expertise in IBM WebSphere and/or Oracle WebLogic administration

• Experience managing highly available and clustered environments

• Strong troubleshooting and performance tuning capabilities

• Experience supporting mission-critical enterprise applications

• Ability to work independently while collaborating across distributed teams

Required Technical Expertise

Middleware Platforms

• IBM WebSphere Application Server

• Oracle WebLogic Server

• Middleware clustering and high availability

• Performance tuning and optimization

• Secure configuration and administration

Web Hosting & Load Balancing

Strong experience with:

• Apache

• IIS

• IBM HTTP Server

• Oracle HTTP Server

• NGINX

• Reverse proxy architectures

• Load balancing technologies

Automation & Scripting

Hands-on experience with:

• wsadmin

• WLST

• Python

• Shell scripting

• CI/CD integration

• Infrastructure automation

Highly Preferred Experience

Security & Authentication

• SSL/TLS implementation and management

• LDAP integration

• Single Sign-On (SSO)

• Enterprise security frameworks

• Compliance and governance standards

Monitoring & Observability

Experience with tools such as:

• AppDynamics

• Datadog

• Enterprise monitoring platforms

• Performance analytics and diagnostics

Cloud & Container Technologies

Experience with:

• Docker

• Kubernetes

• Cloud-hosted middleware workloads

• Platform modernization initiatives

• Hybrid cloud environments

Ideal Candidate Profile

The successful candidate will thrive in complex enterprise environments and enjoy taking ownership of critical platform services.

You'll be someone who:

• Takes pride in engineering reliable, scalable solutions

• Enjoys solving complex technical problems

• Communicates effectively with both technical and business stakeholders

• Can balance operational support with long-term strategic improvements

• Is comfortable mentoring others and sharing knowledge

• Works effectively across geographically distributed teams

This role is particularly well suited to engineers who enjoy both traditional enterprise middleware technologies and modern cloud-native platform engineering.

Compensation & Benefits

💰 Base Salary: $105,000 - $160,000

Additional rewards include:

• Annual performance-based incentive opportunity

• Comprehensive medical, dental, and vision coverage

• Retirement savings programs

• Paid time off and holiday benefits

• Professional development and certification support

• Exposure to large-scale enterprise modernization initiatives

• Flexible hybrid work environment

• Long-term career growth opportunities

Work Authorization Requirements

Candidates must be authorized to work in the United States on a permanent basis.

This position is not eligible for current or future visa sponsorship or transfer.

Why Join?

This is an opportunity to become a key contributor within a highly sophisticated enterprise technology environment where your expertise will directly influence platform reliability, security, automation, and modernization efforts.

You'll work alongside talented engineers, support business-critical systems, and play a central role in driving the future of enterprise middleware and platform engineering.

If you're a WebSphere or WebLogic expert looking for a role that combines technical depth, platform ownership, modernization initiatives, and long-term career growth, we'd love to hear from you.

Senior Platform Engineer – API | Kong, Layer7, Apigee | Atlanta, GA Hybrid

Senior Platform Engineer – API

📍 Location: Atlanta, GA (Hybrid – 3 Days Onsite / 2 Days Remote)
🏢 Industry: Information Technology / Platform Engineering
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: None
💰 Compensation: $105,000 – $160,000 Base Salary
🎯 Experience Level: Mid-Senior (5–7+ Years)

Overview

A global enterprise organization is seeking a Senior Platform Engineer – API to join its Middleware and Platform Engineering team.

This role will focus on designing, implementing, automating, and supporting enterprise API management platforms within a complex, globally distributed environment. The successful candidate will possess deep expertise in API gateways, API lifecycle management, security frameworks, automation, and cloud-native technologies.

As a senior member of the team, you will be expected to work independently on complex initiatives, collaborate with stakeholders across multiple regions, mentor junior engineers, and contribute to the modernization and optimization of critical API platforms.

Key Responsibilities

API Platform Engineering

• Design, implement, and maintain enterprise API management platforms.

• Support API gateway architecture and platform modernization initiatives.

• Develop scalable, secure, and reliable API solutions.

• Optimize API platform performance, availability, and resiliency.

API Lifecycle Management

• Manage API design, publishing, versioning, governance, and retirement.

• Establish and enforce API standards and best practices.

• Support API onboarding and developer enablement initiatives.

• Ensure consistency across enterprise API implementations.

Automation & DevOps

• Automate API deployment, configuration, and operational processes.

• Integrate API platforms into CI/CD pipelines.

• Develop automation scripts using Python, Shell, or Ansible.

• Support infrastructure-as-code and DevOps initiatives.

Security & Compliance

• Implement API security policies and governance controls.

• Manage authentication and authorization frameworks.

• Support secure API design and deployment practices.

• Ensure compliance with enterprise security standards.

Monitoring & Performance Management

• Monitor API performance, availability, and usage trends.

• Analyze metrics and implement performance improvements.

• Troubleshoot complex platform and integration issues.

• Support proactive capacity planning and platform optimization.

Collaboration & Leadership

• Partner with architects, developers, product teams, and business stakeholders.

• Mentor junior engineers and contribute to technical knowledge sharing.

• Participate in platform strategy and continuous improvement initiatives.

• Collaborate with global teams across multiple time zones.

Required Qualifications

Experience

✔ 5+ years of experience in API platform engineering, middleware engineering, or platform operations.

✔ Experience supporting enterprise-scale API management environments.

✔ Experience working within complex, globally distributed organizations.

Must-Have Technical Skills

API Management Platforms

Strong experience with one or more of:

• Kong

• Broadcom Layer7

• Google Apigee

• Equivalent API Management Platforms

API Gateway Technologies

• API Gateway Architecture

• Traffic Management

• Rate Limiting

• API Security Policies

• API Governance

API Lifecycle Management

• API Design

• API Publishing

• API Versioning

• API Retirement

• API Governance Frameworks

Authentication & Security

• OAuth 2.0

• JWT

• OpenID Connect (OIDC)

• API Security Best Practices

Automation & DevOps

Experience with:

• Python

• Shell Scripting

• Ansible

Strong understanding of:

• CI/CD Pipelines

• DevOps Methodologies

• Deployment Automation

• Infrastructure Automation

Monitoring & Observability

Experience with:

• Prometheus

• Grafana

• API Analytics

• Performance Monitoring

• Usage Monitoring

Cloud & Containerization

Exposure to:

• Docker

• Kubernetes

• Cloud-Native API Platforms

• Containerized Middleware Environments

Preferred Qualifications

• Experience leading API platform initiatives.

• Experience supporting global enterprise environments.

• Strong troubleshooting and root-cause analysis skills.

• Experience with platform modernization and cloud migration efforts.

• Familiarity with enterprise integration patterns and middleware ecosystems.

Screening Questions

1. Do you have professional experience with API management platforms such as Kong, Broadcom Layer7, Google Apigee, or similar technologies?

2. Do you have experience designing and supporting API gateway architectures?

3. Have you worked with API traffic management, rate limiting, and API security policies?

4. Do you have experience managing the full API lifecycle, including design, publishing, versioning, and retirement?

5. Have you implemented authentication and authorization frameworks such as OAuth 2.0, JWT, or OpenID Connect?

6. Do you have experience automating API deployments using Python, Shell, or Ansible?

7. Have you integrated API platforms into CI/CD pipelines and DevOps workflows?

8. Do you have experience with API monitoring and analytics tools such as Prometheus or Grafana?

9. Have you worked with Docker and Kubernetes in API or middleware environments?

10. Are you authorized to work in the United States without current or future visa sponsorship?

Ideal Candidate Profile

The ideal candidate will:

• Be a senior-level API platform engineer capable of operating independently.

• Possess strong expertise across API gateways, API management, and security.

• Be comfortable collaborating with global teams and stakeholders.

• Demonstrate strong troubleshooting and problem-solving abilities.

• Have experience automating platform deployments and operational processes.

• Mentor junior engineers while remaining hands-on technically.

• Thrive in highly complex enterprise environments.

• Be flexible with occasional global collaboration outside standard business hours.

Candidate Snapshot

Requirement

Details

Experience

5–7+ Years

API Platforms

Kong, Layer7, Apigee or Equivalent

Security

OAuth 2.0, JWT, OpenID Connect

Automation

Python, Shell, Ansible

DevOps

CI/CD, Deployment Automation

Monitoring

Prometheus, Grafana

Containerization

Docker, Kubernetes

Location

Atlanta, GA

Work Arrangement

Hybrid (3 Days Onsite)

Compensation

$105K – $160K

Visa Sponsorship

Not Available

What Makes Someone Successful in This Role?

• Deep expertise in enterprise API management platforms.

• Strong understanding of API gateway architecture and security.

• Ability to automate deployments and operational processes.

• Experience working within global, cross-functional teams.

• Strong troubleshooting and platform optimization capabilities.

• Ability to balance hands-on engineering with mentoring responsibilities.

• Excellent communication skills when engaging both technical and non-technical stakeholders.

• Commitment to continuous improvement, platform reliability, and operational excellence.

Software Integration Engineer (Mid/Senior) – TS/SCI Full Scope Poly – Maryland or Utah

Software Integration Engineer (Mid/Senior) – TS/SCI Full Scope Poly

📍 Locations: Maryland or Utah
🏢 Work Arrangement: 100% Onsite
💼 Employment Type: Full-Time
🔒 Security Clearance Required: Active TS/SCI with Full Scope Polygraph (NSA Preferred)
🇺🇸 Citizenship: U.S. Citizen Required
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Available
💰 Compensation: $100,000 – $200,000 Base Salary

Overview

A leading government technology contractor is seeking Software Integration Engineers (Mid-Level and Senior-Level) to join a mission-critical Site Reliability Engineering (SRE) team supporting highly secure government environments.

These positions focus on enterprise-scale monitoring, automation, software integration, operational tooling, and infrastructure reliability. Candidates will work across Linux-based environments while supporting mission operations through automation, observability, resiliency engineering, and performance optimization.

This role is ideal for engineers who enjoy solving complex operational challenges, automating infrastructure, and improving system reliability within highly secure environments.

Key Responsibilities

Site Reliability Engineering (SRE)

• Support mission-critical infrastructure and operational tooling.

• Improve system reliability, resiliency, and operational efficiency.

• Develop automation and monitoring solutions.

• Support enterprise-scale observability initiatives.

Software Integration & Deployment

• Support software integration activities across mission environments.

• Configure and troubleshoot customer-facing applications and use cases.

• Participate in infrastructure deployments and system upgrades.

• Manage software deployment workflows and integrations.

Linux Administration

• Administer and support Linux-based environments.

• Perform system maintenance, troubleshooting, and optimization.

• Support multiple Linux distributions across operational environments.

Note: Candidates should expect to spend approximately 50% of their time initially performing Linux administration while becoming familiar with supported systems and environments.

Automation & Configuration Management

• Develop and maintain automation using:

• Salt

• Ansible

• Improve operational efficiency through infrastructure automation.

• Support configuration management initiatives.

Monitoring & Observability

Build and maintain monitoring solutions utilizing:

• Nagios

• Thruk

• Prometheus

• Splunk

• Grafana

Collaboration

• Partner with engineering and operations teams.

• Troubleshoot mission-critical issues.

• Improve reliability, performance, and scalability.

• Support continuous improvement initiatives.

Required Qualifications

Security Requirements

✔ Active TS/SCI Clearance

✔ Active Full Scope Polygraph (NSA Preferred)

✔ U.S. Citizenship Required

Linux Administration Experience

Strong experience supporting one or more of:

• Red Hat Enterprise Linux (RHEL)

• CentOS

• Rocky Linux

• SUSE Linux Enterprise Server (SLES)

• Ubuntu

Experience with:

• Linux system administration

• System troubleshooting

• Operational support

• Infrastructure maintenance

Programming & Scripting

Experience with one or more of:

• Python

• Bash

• C

Highly Desired Technical Skills

Monitoring & Observability

• Nagios

• Thruk

• Prometheus

• Splunk

• Grafana

Automation & Configuration Management

• Salt

• Ansible

Development & Collaboration Tools

• GitBucket

• Jira

• Confluence

Workload & Resource Management

• Slurm

Must-Have Requirements

Clearance

✅ Active TS/SCI Clearance

✅ Active Full Scope Polygraph

Linux Expertise

✅ Linux System Administration

✅ Linux Troubleshooting

Scripting & Automation

✅ Python, Bash, or C

Technical Skills

✅ Monitoring & Operational Support

✅ Infrastructure Troubleshooting

Soft Skills

✅ Strong Problem-Solving Skills

✅ Ability to Work in Fast-Paced Mission Environments

✅ Strong Team Collaboration Skills

Screening Questions

1. Do you currently hold an active TS/SCI clearance with a Full Scope Polygraph?

2. Was your Full Scope Polygraph issued by NSA?

3. When was your most recent Full Scope Polygraph completed?

4. How many years of Linux administration experience do you have?

5. Which Linux distributions have you supported (RHEL, CentOS, Rocky, Ubuntu, SLES)?

6. Which scripting or programming languages have you used professionally (Python, Bash, C)?

7. Do you have experience with monitoring platforms such as Nagios, Prometheus, Grafana, or Splunk?

8. Have you worked with automation tools such as Salt or Ansible?

9. Do you have experience supporting Site Reliability Engineering (SRE), DevOps, or operational infrastructure environments?

10. Are you willing to work onsite full-time in Maryland or Utah?

Ideal Candidate Profile

The ideal candidate will:

• Hold an active TS/SCI Full Scope Polygraph.

• Possess strong Linux administration skills.

• Have experience supporting enterprise monitoring and automation platforms.

• Enjoy troubleshooting highly complex operational environments.

• Be comfortable working within Site Reliability Engineering (SRE) frameworks.

• Have experience developing automation solutions and improving operational efficiency.

• Demonstrate curiosity, initiative, and a continuous learning mindset.

• Thrive in highly collaborative mission-focused environments.

Candidate Snapshot

Requirement

Details

Clearance

Active TS/SCI + Full Scope Poly

Citizenship

U.S. Citizen

Experience Level

Mid-Level to Senior

Linux Expertise

RHEL, CentOS, Rocky, Ubuntu, SLES

Scripting

Python, Bash, or C

Automation

Salt, Ansible

Monitoring

Nagios, Prometheus, Splunk, Grafana

Environment

Site Reliability Engineering (SRE)

Location

Maryland or Utah

Work Arrangement

100% Onsite

Travel

None

Compensation

$100K – $200K

Relocation

Available

Why This Opportunity?

Mission Impact

Support highly secure government environments responsible for critical national missions.

Modern Engineering Environment

Work with leading technologies across:

• Site Reliability Engineering

• Automation

• Observability

• Linux Infrastructure

• Enterprise Monitoring

Technical Growth

Gain exposure to advanced operational tooling, large-scale monitoring environments, and infrastructure automation initiatives.

Strong Benefits Package

• 3 Weeks PTO

• 11 Federal Holidays

• Medical & Dental Coverage

• Life Insurance

• STD & LTD Coverage

• 401(k) with Company Match

• Long-Term Career Growth Opportunities

This opportunity is ideal for a Software Integration Engineer, Site Reliability Engineer (SRE), Linux Systems Engineer, DevOps Engineer, Platform Engineer, Infrastructure Engineer, or Automation Engineer with an active TS/SCI Full Scope Polygraph looking to support mission-critical government operations.

CTO Co-Founder – Healthcare Payments AI Startup – New York, NY

CTO Co-Founder – Healthcare Payments AI Startup

📍 Location: New York, NY (Onsite)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
💰 Compensation: $150,000 Base + 15–20% Equity

Overview

A funded early-stage healthcare AI startup is seeking a hands-on CTO Co-Founder to lead technology strategy, product development, architecture, and engineering execution.

The company is building an AI-powered platform focused on transforming healthcare payments, claims processing, revenue cycle management, and financial workflow automation. This is a true 0-to-1 opportunity for a technical leader who wants to build both the product and the company from the ground up.

Key Responsibilities

Technology & Product Leadership

• Own the technology vision, architecture, and engineering roadmap.

• Build and launch the company’s initial MVP and commercial platform.

• Evaluate and select the technology stack and infrastructure.

• Design secure, scalable systems for healthcare payment and claims workflows.

AI & Workflow Automation

• Build AI-driven workflow automation and operational intelligence capabilities.

• Develop data ingestion, normalization, and decision-support solutions.

• Implement automation for claims, reimbursement, reconciliation, and payment processes.

Engineering Leadership

• Recruit, hire, and lead the founding engineering team.

• Establish development standards, processes, and engineering culture.

• Drive execution from concept through production deployment.

Strategic Collaboration

• Work directly with the CEO, investors, advisors, and early customers.

• Translate customer needs into scalable technical solutions.

• Support fundraising, product strategy, and commercial growth initiatives.

Required Qualifications

Experience

✔ 0-to-1 Product Development Experience

✔ Hands-On Software Engineering & Architecture

✔ AI / ML & Workflow Automation

✔ Engineering Team Leadership

✔ Healthcare Payments, Revenue Cycle, FinTech, or Transaction-Based Systems Experience

✔ 10+ Years of Technical Experience

Education

• Bachelor's Degree in Computer Science, Engineering, or related field.

• Graduate of a top-tier university strongly preferred.

Preferred Backgrounds

• Healthcare Technology

• Revenue Cycle Management (RCM)

• Claims Processing Platforms

• Payments & FinTech

• AI Workflow Automation

• Enterprise SaaS

• Data Infrastructure

• Healthcare Interoperability

Ideal Candidate

The ideal candidate is a builder-first technical leader who has:

• Personally built and launched software products from MVP to production.

• Experience operating in startups or high-growth environments.

• Strong software architecture and coding skills.

• Experience developing AI-powered products or automation platforms.

• Knowledge of healthcare payments, claims, revenue cycle, or other regulated transaction-heavy industries.

• Experience recruiting and leading engineering teams.

• Ability to communicate effectively with customers, executives, and investors.

Healthcare payments experience is highly desirable but candidates from fintech, enterprise workflow automation, or regulated data-intensive industries will also be considered.

Candidate Snapshot

Requirement

Details

Level

CTO / Co-Founder

Experience

10+ Years

Location

New York, NY (Onsite)

Industry

Healthcare AI / FinTech

Education

Bachelor's Degree Required

Equity

15–20%

Relocation

No

Sponsorship

No

Screening Questions

1. Have you personally built and launched a software product from MVP to production?

2. Describe your experience leading 0-to-1 product development initiatives.

3. What AI, machine learning, or workflow automation products have you built?

4. Do you have experience in healthcare payments, revenue cycle management, claims processing, or fintech?

5. Have you recruited and led engineering teams in a startup or high-growth environment?

6. What programming languages, frameworks, and cloud technologies have you used to build scalable products?

7. Are you comfortable being a hands-on contributor while also leading the engineering organization?

8. Are you able to work onsite in New York City?

What Makes Someone Successful in This Role?

• Founder mentality and bias toward action.

• Strong technical depth with hands-on coding capability.

• Experience building products in regulated, transaction-heavy environments.

• Ability to move quickly from concept to commercial product.

• Strong communication skills with both technical and non-technical stakeholders.

• Passion for using AI to solve complex operational challenges.

• Desire to build and scale a company, not just a technology platform.

SOC Analyst – Montvale, NJ | Hybrid Cybersecurity & Vulnerability Management

SOC Analyst

📍 Location: Montvale, New Jersey
🏢 Work Model: Hybrid – 3 days onsite / 2 days remote
🏠 Employees work remotely every Friday + receive 40 additional remote days annually
💼 Employment Type: Full-Time
📈 Seniority Level: Associate / Mid-Level
🎓 Education: Bachelor’s Degree preferred
🔐 Industry: Cybersecurity / Manufacturing / Enterprise IT

💰 Compensation & Benefits

• Salary Range: $90,000 – $110,000

• Full benefits package

• Hybrid flexibility

• Collaborative and supportive IT/security environment

🚀 Overview

A growing enterprise organization is seeking a SOC Analyst to strengthen its cybersecurity operations through security monitoring, alert investigation, and vulnerability management.

This role combines Security Operations Center (SOC) responsibilities with hands-on vulnerability analysis and remediation coordination across enterprise infrastructure and endpoint environments.

The ideal candidate is analytical, collaborative, proactive, and highly communicative with experience supporting enterprise security operations.

🔧 Key Responsibilities

Security Operations

• Monitor, triage, and investigate alerts from:

• SIEM platforms

• Endpoint protection tools

• Security monitoring systems

• Distinguish legitimate threats from false positives

• Document findings and communicate results clearly

• Assist with alert tuning and optimization efforts

Vulnerability Management

• Support enterprise vulnerability scanning and assessments

• Analyze vulnerability findings and prioritize remediation activities

• Research CVEs and provide:

• Exploitability analysis

• Business impact context

• Remediation guidance

• Track remediation progress and validate fixes

Collaboration & Communication

• Partner closely with:

• Infrastructure teams

• IT leadership

• Cybersecurity teams

• Maintain strong communication and visibility around risks and remediation efforts

• Proactively identify opportunities for improvement

Continuous Improvement

• Assist with:

• DLP and information protection controls

• System hardening initiatives

• Documentation and runbook development

• Explore enhanced capabilities within existing security tooling

✅ Required Qualifications

• Bachelor’s degree in:

• Cybersecurity

• Computer Science

• Information Technology

• Related discipline
  OR equivalent practical experience

• 3–5 years of experience in:

• Security operations

• Vulnerability management

• Endpoint protection analysis

• Strong understanding of:

• CVEs

• Risk prioritization

• Vulnerability remediation processes

• Excellent communication and collaboration skills

⭐ Preferred Skills

• Experience with:

• SIEM platforms

• Enterprise log analysis

• Endpoint detection & response (EDR) tools

• Familiarity with:

• Active Directory

• Group Policy

• Security baselines

• Scripting or reporting experience:

• PowerShell

• Python

• Power BI

• Security certifications are a plus but not required

🎯 Ideal Candidate

• Hands-on SOC or cybersecurity analyst with enterprise experience

• Strong communicator who proactively keeps stakeholders informed

• Comfortable balancing:

• Security investigations

• Vulnerability analysis

• Cross-functional collaboration

• Curious, self-driven, and eager to improve security operations

📝 Screening Considerations

• Do you have experience with:

• SOC operations

• Vulnerability management

• Endpoint security tools?

• Have you worked with SIEM or enterprise detection platforms?

• Are you comfortable working in a hybrid environment in Montvale, NJ?

• Do you have experience coordinating remediation efforts with infrastructure teams?

🌍 Work Environment

• Hybrid work schedule:

• 3 onsite days

• 2 remote days

• Additional remote flexibility throughout the year

• Collaborative enterprise IT and cybersecurity team

• Occasional travel between NY/NJ locations may be required

📈 Why Join

• Broad exposure across enterprise cybersecurity operations

• Opportunity to influence security tooling and processes

• Supportive, highly collaborative IT culture

• Strong focus on learning, ownership, and continuous improvement

Data Engineer | AWS, Python & Snowflake | Ridgefield, CT (Hybrid) | $140K–$185K

🧠 Data Engineer

Before reading further, here are three non-negotiables that the client has made absolutely clear:

This is a Direct Hire (W2) permanent position. No C2C, no 1099, no third parties.

Candidates must NOT require sponsorship now or in the future. We can only consider US Citizens or Green Card holders who can work long-term without restriction.

The role is Hybrid — non-negotiable. You must be onsite 2–3 days per week in Ridgefield, CT, so candidates must already live within commuting distance or be willing to relocate.
(The good news: the company offers excellent benefits and is open to relocation support or a sign-on bonus for the right hire.)

📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
💼 Openings: 2
🏢 Industry: Information Technology / Life Sciences
🎓 Education: Bachelor’s degree in Computer Science, MIS, or related field (Master’s preferred)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for the ideal candidate
💰 Compensation: $140,000 – $185,000 base salary + full benefits
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Step into the future with a global leader in healthcare innovation — where Data and AI drive transformation and impact millions of lives.

As part of the Enterprise Data, AI & Platforms (EDP) team, you’ll join a high-performing group that’s building scalable, cloud-based data ecosystems and shaping the company’s data-driven future.

This role is ideal for a hands-on Data Engineer who thrives on designing, optimizing, and maintaining robust data pipelines in the cloud, while collaborating closely with architects, scientists, and business stakeholders across the enterprise.

🧭 Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines and integration frameworks to enable advanced analytics and AI use cases.

• Collaborate with data architects, modelers, and data scientists to evolve the company’s cloud-based data architecture strategy (data lakes, warehouses, streaming analytics).

• Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift), ensuring data quality, integrity, and security.

• Implement data validation, monitoring, and troubleshooting processes to ensure high system reliability.

• Work cross-functionally with IT and business teams to understand data requirements and translate them into scalable solutions.

• Document architecture, workflows, and best practices to support transparency and continuous improvement.

• Stay current with emerging data engineering technologies, tools, and methodologies, contributing to innovation across the organization.

🧠 Core Requirements

Technical Skills

✅ Hands-on experience with AWS data services such as Glue, Lambda, Athena, Step Functions, and Lake Formation.
✅ Strong proficiency in Python and SQL for data manipulation and pipeline development.
✅ Experience in data warehousing and modeling (dimensional modeling, Kimball methodology).
✅ Familiarity with DevOps and CI/CD practices for data solutions.
✅ Experience integrating data between applications, data warehouses, and data lakes.
✅ Understanding of data governance, metadata management, and data quality principles.

Cloud & Platform Experience

• Expertise in AWS, Azure, or Google Cloud Platform (GCP) – AWS preferred.

• Knowledge of ETL/ELT tools such as Apache Airflow, dbt, Azure Data Factory, or AWS Glue.

• Experience with Snowflake, PostgreSQL, MongoDB, or other modern database systems.

Education & Experience

🎓 Bachelor’s degree in Computer Science, MIS, or related field
💼 5–7 years of professional experience in data engineering or data platform development
⭐ AWS Solutions Architect certification is a plus

🚀 Preferred Skills & Attributes

• Deep knowledge of big data technologies (Spark, Hadoop, Flink) is a strong plus.

• Proven experience troubleshooting and optimizing complex data pipelines.

• Strong problem-solving skills and analytical mindset.

• Excellent communication skills for collaboration across technical and non-technical teams.

• Passion for continuous learning and data innovation.

💰 Compensation & Benefits

💵 Base Salary: $140,000 – $185,000 (commensurate with experience)
🎯 Bonus: Role-based variable incentive
💎 Benefits Include:

• Comprehensive health, dental, and vision coverage

• Paid vacation and holidays

• 401(k) retirement plan

• Wellness and family support programs

• Flexible hybrid work environment

🧩 Candidate Snapshot

• Experience: 5–7 years in data engineering or related field

• Key Skills: AWS Glue | Python | SQL | ETL | CI/CD | Snowflake | Data Modeling | Cloud Architecture

• Seniority Level: Mid–Senior

• Work Arrangement: 2–3 days onsite in Ridgefield, CT

• Travel: Occasional

🚀 Ready to power the future of data-driven healthcare?
Join a global data and AI team committed to harnessing the power of cloud and analytics to drive discovery, innovation, and meaningful impact worldwide.

Lead Rust Software Developer | Embedded Systems | Camden, NJ | $132K–$200K

⚙️ Lead Rust Software Developer

📍 Location: Camden, New Jersey (Fully Onsite – every other Friday off 🗓️)
🏢 Industry: Aerospace / Defense / Embedded Systems
🎓 Education: Bachelor’s or Master’s in Computer Science, Computer Engineering, or related field
💼 Experience Level: Mid–Senior (7–10 years)
🔒 Clearance Required: Active U.S. Department of Defense (DoD) Secret Clearance
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for ideal candidate
💰 Compensation: $132,000 – $200,000 base salary + full benefits
🕓 Schedule: 9/80 (every other Friday off)
💼 Employment Type: Full-Time | Permanent

🌟 The Opportunity

A leading aerospace and defense innovator is seeking an experienced Lead Rust Software Developer to shape the next generation of mission-critical embedded systems.

This role offers the opportunity to spearhead Rust adoption across advanced programs supporting defense, C5, and cyber initiatives. You’ll provide technical leadership, architectural guidance, and hands-on expertise in developing high-assurance, memory-safe embedded software solutions.

If you’re passionate about cutting-edge systems, modern programming languages, and solving complex engineering challenges — this is your chance to make a measurable impact in national defense technology.

🧭 Key Responsibilities

• Lead Rust software development efforts across multiple embedded product lines.

• Champion the adoption of Rust best practices, idioms, and design patterns throughout the organization.

• Collaborate with cross-functional hardware and software teams to define system interfaces, requirements, and design strategies.

• Support all phases of the software development lifecycle — from requirements and design to implementation, integration, and test.

• Migrate legacy codebases from C/C++ to Rust while improving maintainability and performance.

• Develop and document software test plans, validation procedures, and technical specifications.

• Perform root cause analysis and implement sustainable solutions for complex software issues.

• Use modeling and simulation tools to support design, prototyping, and evaluation of embedded systems.

• Contribute to continuous improvement of secure coding standards and software quality initiatives.

🧠 Required Skills & Experience

✅ U.S. citizenship with an active DoD Secret Clearance.
✅ 3+ years of hands-on experience developing production-grade Rust software.
✅ 8+ years of experience developing embedded systems software.
✅ Proficiency in C/C++, Python, and object-oriented design principles.
✅ Strong understanding of embedded real-time operating systems (VxWorks, Linux, Integrity).
✅ Experience developing software for mission-critical or defense systems.
✅ Excellent communication, documentation, and team collaboration skills.

💡 Preferred Skills

⭐ Experience converting legacy C/C++ codebases to Rust.
⭐ Knowledge of UML tools such as IBM Rhapsody or MagicDraw/Cameo.
⭐ Experience developing device drivers or board support packages (BSPs).
⭐ Background in information assurance, cybersecurity, or cryptography.
⭐ Familiarity with NSA Type 1 certification or DO-178 safety standards.
⭐ Deep understanding of Rust memory safety and secure software engineering.

💰 Compensation & Benefits

💵 Base Salary: $132,000 – $200,000 (based on experience & location)
💎 Benefits Include:

• Comprehensive medical, dental, and vision coverage

• 401(k) retirement plan with company match

• Paid holidays and every other Friday off

• Employee Assistance Program (EAP)

• Relocation stipend for qualified candidates

• Opportunities to work on groundbreaking defense technologies

🧩 Candidate Snapshot

• Experience: 7–10 years total, with 3+ in Rust and 8+ in embedded systems

• Focus Areas: Rust, Embedded Systems, C/C++, Cybersecurity, Real-Time Software

• Clearance: Active DoD Secret (required)

• Seniority Level: Mid–Senior

• Work Arrangement: Fully onsite in Camden, NJ

• Travel: Occasional

🚀 Why Join

You’ll be joining a high-impact engineering organization building the future of secure, mission-critical technology. This is a rare opportunity to lead Rust innovation within embedded defense systems while working alongside some of the brightest minds in aerospace engineering.

Your work will directly contribute to national security, system reliability, and next-generation defense capabilities — all within a collaborative, forward-thinking environment that values innovation and technical excellence.

🔹 Ready to lead the Rust revolution in defense software?
Join a team that’s redefining embedded system performance and security — one line of code at a time.

Lead Data Scientist | Houston, TX | $125K–$140K + Equity + Hybrid Flexibility

Lead Data Scientist

Location: Houston, TX (Onsite)
Level: Senior
Reports To: Director of Data Science
Salary Range: $125,000 – $140,000 (USD)
Benefits: Medical, Dental, Vision, Life Insurance, Retirement, Equity, Paid Time Off, Work From Home Flexibility

About the Role

We are seeking a Lead Data Scientist to spearhead transformative projects that drive impact across the organization. This is a hands-on leadership role where you’ll design advanced models, mentor a team of talented data scientists, and partner with senior stakeholders to solve complex challenges. If you thrive at the intersection of technology, business strategy, and innovation, this role offers the perfect platform to showcase your expertise.

What You’ll Do

• Lead high-visibility projects that directly influence business strategy and decision-making.

• Develop and deploy custom algorithms, models, and predictive analytics that unlock value from complex data sets.

• Translate technical insights into clear, compelling stories for executive-level audiences.

• Mentor and coach junior data scientists, elevating the technical capabilities of the team.

• Research and implement cutting-edge machine learning techniques to improve operational performance.

• Partner with cross-functional teams to identify opportunities, resolve data challenges, and optimize processes.

• Stay at the forefront of emerging tools and vendors, recommending best-fit solutions.

What You Bring

• 7+ years of professional experience in data science, with proven project leadership.

• Strong background in machine learning, advanced statistical modeling, and SQL database management.

• Experience in healthcare data, EHR systems, or financial/revenue cycle data preferred.

• Demonstrated ability to design scalable solutions using AWS (certification required).

• Hands-on expertise in Cogito and other data management platforms.

• Exceptional communication skills – able to engage both technical teams and executive stakeholders.

• A problem-solving mindset with the ability to thrive in fast-paced, multidisciplinary environments.

Interview Process

1. Recruiter Interview

2. Hiring Manager Interview

3. Panel Interview

Why Join Us?

Here, your work won’t just be about numbers – it will be about impact. You’ll have the chance to combine advanced data science with real-world problem solving, shaping decisions that matter.

We celebrate growth, encourage innovation, and foster a culture of collaboration. You’ll be supported by mentors, inspired by peers, and empowered to chart your own career path. Our workplace has been consistently recognized as one of the Top Workplaces in the region, a testament to our values-driven culture and commitment to meaningful work.

Benefits at a Glance

• Comprehensive medical, dental, and vision insurance

• Life insurance and retirement plans

• Equity opportunities

• Generous paid time off

• Flexible work-from-home options

HPC Platform Engineer | $71/hr Contract | Azure & Linux Expert | Collegeville, PA

HPC Platform Engineer

📍 Location: Collegeville, PA (Onsite)
📅 Contract Length: 6 Months
💵 Pay Rate: $71 per hour
💼 Employment Type: Contract | Mid-Senior Level
🛂 Visa Sponsorship: Not available
🚚 Relocation Assistance: Not available
👤 Openings: 1

About the Role

This is a 6-month contract opportunity for an experienced HPC Platform Engineer with strong expertise in Azure fundamentals, Linux administration, and high-performance computing (HPC) platforms. You’ll be working in a fast-paced environment, supporting critical HPC infrastructure, administering tools like Posit Workbench, and ensuring high availability and performance across systems.

If you thrive in solving complex technical challenges and enjoy collaborating with cross-functional teams, this role offers an exciting chance to make a significant impact.

Key Responsibilities

• Provide technical expertise in HPC platform architecture, design, and support.

• Administer and manage Posit Workbench, Connect, and Package Manager.

• Oversee and maintain Linux infrastructure within the HPC ecosystem.

• Manage and configure Slurm workload manager and Kubernetes clusters.

• Collaborate with developers, system administrators, and stakeholders to optimize platform performance.

• Troubleshoot and resolve complex technical issues related to HPC environments.

• Ensure robust system monitoring, automation, and best practices are followed for operational efficiency.

Must-Have Skills

• HPC Platform expertise

• Azure Fundamentals

• Posit Workbench, Connect & Package Manager Administration

• Linux Administration

• Slurm workload manager

• Kubernetes

Good-to-Have Skills

• Experience in the Life Sciences domain

• Broader Azure Infrastructure knowledge

• Python scripting skills

Additional Requirements

• Strong problem-solving skills, with the ability to analyze and resolve complex issues.

• Excellent communication skills to collaborate with technical and non-technical stakeholders.

• Awareness of Posit Workbench Enterprise tool applications.

Ideal Candidate Profile

• 7+ years of relevant IT and HPC experience.

• Bachelor’s degree in Information Technology, Computer Science, or related field.

• Proven ability to operate in high-demand environments with cross-functional collaboration.

Key Skills

HPC Platform | Microsoft Azure | Azure Fundamentals | Linux | Slurm | Kubernetes | Posit Workbench | Connect | Package Manager | Python (Preferred) | Life Sciences Domain Knowledge (Preferred)

AWS Bedrock Developer (GenAI Engineer) | $70/hr Contract | Dallas, TX | 6-Month Project

AWS Bedrock Developer

📍 Location: Dallas, TX (Onsite)
📅 Contract Length: 6 Months
💵 Pay Rate: $70 per hour
💼 Employment Type: Contract | Mid-Senior Level
🛂 Visa Sponsorship: Not available
🚚 Relocation Assistance: Not available
👤 Openings: 1

About the Role

We are seeking an experienced AWS Bedrock Developer / GenAI Engineer with a strong background in cloud computing and generative AI. This role will focus on transforming Contact Center applications using GenAI and leveraging AWS Bedrock to deliver scalable, innovative solutions.

You’ll work hands-on with AWS services, Terraform, and automation frameworks, helping to design, integrate, and optimize cutting-edge GenAI solutions in a mission-critical environment.

Key Responsibilities

• Design and implement GenAI solutions using AWS Bedrock.

• Lead transformation of Contact Center applications with generative AI capabilities.

• Automate server and infrastructure provisioning using Terraform.

• Develop and optimize AWS Lambda functions, Step Functions, and SSO integrations.

• Integrate on-premise systems with AWS Bedrock for seamless enterprise adoption.

• Collaborate with cross-functional teams to deliver scalable and secure architectures.

Must-Have Skills

• 10+ years of IT experience.

• 7+ years of AWS Cloud Computing expertise.

• Proven hands-on experience with AWS Bedrock for GenAI solutions.

• Strong experience with Terraform for infrastructure as code.

• Expertise in AWS Lambda, Step Functions, and SSO integrations.

• Experience integrating on-premise systems with AWS Bedrock.

Ideal Candidate Profile

• Bachelor’s degree in Computer Science, Engineering, or related field.

• Strong technical communicator, able to work with technical and business stakeholders.

• Ability to design and implement scalable, secure, and innovative AI-driven solutions.

Key Skills

AWS Bedrock | GenAI | AWS Cloud | Terraform | AWS Lambda | Step Functions | SSO Integrations | Contact Center Transformation | Cloud Automation

⚡ This role offers the chance to work at the forefront of Generative AI innovation in the enterprise space, shaping next-generation solutions for large-scale applications.

Salesforce Solution Architect | Health Cloud & OmniStudio | Toronto, Canada (Hybrid)

Salesforce Solution Architect

📍 Location: Toronto, Ontario, Canada (Hybrid – 3 Days Onsite)
💼 Employment Type: Full-Time
💰 Salary Range: $105,200 – $175,300 USD (commensurate with experience)
🎁 Benefits: Full benefits package including health & wellbeing perks. No relocation assistance or bonus.
🛂 Visa Sponsorship: Not available
🔐 Security Clearance Required: No

Step Into Innovation – Architect the Future of Patient Services

Join a purpose-driven, tech-forward healthcare organization on a mission to redefine patient experience through data, AI, and bold innovation. We're seeking a Salesforce Solution Architect who will play a pivotal role in designing and implementing cutting-edge Salesforce Health Cloud solutions that support patient journeys, improve outcomes, and drive operational excellence.

As a technical leader on the Patient Services Architecture team, you’ll bridge complex business needs with robust, scalable technology. If you're excited about transforming healthcare through smart systems and human-first experiences — this is your opportunity to make a lasting impact.

What You’ll Do

• Lead the architecture and implementation of Salesforce Health Cloud solutions tailored to large-scale Patient Support Programs (PSPs).

• Define, document, and communicate technical designs and architecture blueprints to cross-functional stakeholders.

• Drive seamless integration with platforms such as Snowflake, Informatica, AWS S3, Python, and other healthcare services (e.g., Benefits Verification, Co-Pay).

• Oversee solution design aligned with enterprise standards and regulatory compliance (GxP, HIPAA, GDPR).

• Deliver Proof of Concepts (PoCs) to validate and iterate new ideas rapidly.

• Continuously enhance system performance, simplify architecture, and identify reusable components.

• Collaborate globally with product teams, developers, and enterprise architects.

• Maintain documentation including C4 models and solution roadmaps.

What You Bring

Required Skills & Experience:

• Bachelor’s degree in a relevant field.

• Salesforce certifications (Application and/or System Architect) strongly preferred.

• Proven hands-on experience with Salesforce Health Cloud, OmniStudio, OmniScripts, Data Raptors, and complex patient workflows.

• Deep knowledge of FHIR integration, data privacy, and consent management.

• Strong understanding of cloud platforms and APIs (Snowflake, AWS, Informatica, Python).

• Demonstrated ability to lead architecture design, articulate technical vision, and influence cross-functional teams.

• Experience with agile methodologies and DevOps best practices.

• Excellent communication skills – both technical and business-facing.

Nice to Haves:

• Industry knowledge in life sciences or pharma.

• Familiarity with Veeva, Salesforce Marketing Cloud, Advanced Therapy Management.

• Experience with Microsoft PowerBI/Tableau and AI/ML capabilities.

• Experience using tools like AutoRabbit, GitHub, Terraform.

• Understanding of C4 architecture modeling.

• Data masking, anonymization, and encryption experience.

Why Join Us?

• 💡 Lead Innovation – Influence major technical decisions in next-gen healthcare platforms.

• 🌍 Global Impact – Your work will directly enhance patient experience and health outcomes.

• 🚀 Career Growth – Endless opportunities to advance, laterally or vertically, across a global organization.

• 💼 Comprehensive Benefits – Health and wellbeing programs for you and your family.

• 🧠 Future-Ready Tech – Work with AI, cloud-native platforms, and advanced data analytics.

Our Commitment to Diversity & Inclusion

We value the unique perspectives each individual brings to our team. We are committed to building a workplace that reflects the diverse communities we serve. If you require accommodation at any stage of the recruitment process, please let us know – we’re happy to help.

Progress is powered by people. Be the architect of better.
Apply now and let’s build something extraordinary — together.

Sr. Director, AI & Data Science | $190K–$300K + Bonus | Wayzata, MN (Hybrid)

Sr. Director, AI & Data Science

📍 Location: Wayzata, Minnesota, United States (Hybrid – scheduled work from home days)
💼 Industry: Information Technology
📊 Category: Business Intelligence
📌 Job Type: Full-time | Onsite with WFH flexibility
💲 Compensation: $190,000 – $300,000 + bonus eligibility
📈 Relocation Assistance: Possible for ideal candidate

About the Company

Our company’s size and scale allow us to make a positive global impact. We are a family company providing food, ingredients, agricultural solutions, and industrial products that are vital for living. With 160,000 colleagues across 70 countries, we connect farmers, customers, and families with essentials every day.

Job Purpose

The Sr. Director of AI & Data Science is a visionary leader responsible for driving high-impact AI applications across the business. This role partners with executives to identify opportunities where AI can provide strategic advantage, shaping how data science transforms decision-making, operations, and customer experience.

The leader will:

• Champion responsible AI practices (governance, risk mitigation, ethics).

• Deliver measurable business outcomes from AI investments.

• Lead and scale a global team of data scientists (transitioning from regional to global scope).

Key Responsibilities

• Partner with business leaders to identify and accelerate AI opportunities.

• Translate complex AI concepts into business-focused narratives for executives.

• Provide strategic oversight of AI product delivery (scope, timeline, budget).

• Champion innovation, continuous improvement, and AI adoption across the business.

• Develop a community of practice for global data scientists to drive reuse and alignment.

• Build and maintain strategic partnerships and alliances to maximize value.

• Lead, coach, and develop a team of 16+ data scientists in an inclusive culture.

• Manage large budgets, ensure measurable ROI, and deliver against business value targets.

Minimum Qualifications

• Bachelor’s in Data Science, Computer Science, Math, Engineering, or related field (or equivalent experience).

• 8+ years of related work experience.

• Experience with at least two machine learning approaches: supervised, unsupervised, reinforcement learning.

• Proven ability to present complex AI solutions to non-technical audiences.

Preferred Qualifications

• Master’s or PhD in Data Science, Computer Science, Math, Engineering, or related field.

• 5+ years of leadership experience (managing teams of data scientists).

• Experience driving enterprise-wide analytics adoption.

• Familiarity with CI/CD pipelines, distributed computing frameworks, and AWS.

• Background in software development/version control.

• Strong business acumen and experience presenting to senior executives.

• Experience in Agriculture or related industries is a plus.

Compensation & Benefits

💲 Base Salary: $190,000 – $300,000
🎯 Bonus Eligible: Yes
🏥 Comprehensive health & wellness benefits
🍼 14 weeks parental leave + prevention & wellness programs
🌎 Sick & Safe Leave: 1 hour for every 30 worked (up to 48 hours annually, unless otherwise required by law)

Candidate Profile

• 7–10+ years’ experience in AI, Data Science, and Analytics.

• Proven ability as a strategic champion to drive AI adoption at scale.

• Leadership experience managing diverse data science teams.

• Strong emotional intelligence (EQ) and collaborative leadership style.

• Comfortable influencing senior executives and non-technical stakeholders.

✅ Security Clearance Required: No
✅ Visa Candidates Considered: No
✈️ Travel: Occasional