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.

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.

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.

Senior Azure / Entra ID Engineer – IAM & Cloud Security (Contract)

Senior Azure / Entra ID Engineer – Contract

📍 Location: San Francisco, CA or Cincinnati, OH (Local candidates only)
💼 Employment Type: Contract
💰 Pay Rate: $67/hour
🎓 Education: Bachelor’s Degree preferred
📈 Experience Level: Mid–Senior
🕒 Experience Required: 8–10+ years
🌎 Visa Sponsorship: Not available
🚚 Relocation Assistance: Not available

Role Overview

We are seeking a Senior Azure / Entra ID Engineer to support enterprise identity and access management initiatives within a secure cloud environment.

This role focuses on the hands-on implementation, configuration, and troubleshooting of Microsoft Entra ID (Azure AD) security controls, including Conditional Access, Identity Protection, MFA, and Privileged Identity Management (PIM).

The successful candidate will work closely with IAM architects and security teams to translate architecture designs into production-ready identity solutions, while also resolving complex identity and authentication issues across the environment.

Key Responsibilities

Identity & Access Management Engineering

• Build, configure, and support Microsoft Entra ID (Azure AD) identity services

• Implement identity security controls and authentication policies

• Translate IAM architecture designs into secure production configurations

Identity Security Implementation

• Configure and manage:

• Conditional Access policies

• Multi-Factor Authentication (MFA)

• Identity Protection policies

• Privileged Identity Management (PIM)

• Support secure identity governance and least-privilege access models

Device & Security Integration

• Integrate identity controls with device compliance and endpoint security solutions

• Ensure authentication and access policies align with security standards

• Maintain identity posture across cloud and enterprise environments

Troubleshooting & Support

• Perform L3 troubleshooting for complex identity and authentication issues

• Resolve advanced Azure / Entra ID configuration and security problems

• Support operational stability and reliability of identity infrastructure

Collaboration

• Work closely with IAM Architects and security teams

• Support identity platform improvements and security enhancements

• Provide documentation and knowledge transfer where required

Required Qualifications

• 8–10+ years of experience in identity engineering, cloud infrastructure, or enterprise IAM

• Strong experience with Microsoft Azure and Entra ID (Azure AD)

• Hands-on experience configuring:

• Conditional Access

• MFA

• Identity Protection

• Privileged Identity Management (PIM)

• Experience troubleshooting complex identity and authentication issues

• Strong understanding of enterprise identity security practices

Technical Skills

• Microsoft Azure Active Directory / Entra ID

• Identity and access management frameworks

• Conditional Access policy implementation

• MFA and identity protection controls

• Privileged access management (PIM)

• Device compliance and endpoint integrations

Ideal Candidate

The ideal candidate is an experienced Azure Identity Engineer who:

• Has strong hands-on Entra ID configuration experience

• Understands enterprise identity security architecture

• Can translate IAM designs into secure operational solutions

• Is comfortable handling L3 troubleshooting and advanced identity issues

• Works effectively with security, architecture, and infrastructure teams

Senior DevOps Engineer – Azure, CI/CD & Infrastructure as Code | Vienna

Senior DevOps Engineer (f/m/d)

📍 Location: Vienna, Austria
🏢 Work Model: Hybrid – Minimum 3 days onsite, flexible home office options
💼 Employment Type: Full-Time
💰 Salary: From €60,000+ annually (depending on experience)
✈️ Travel: None expected
🎓 Education: Bachelor’s Degree in Computer Science, Software Engineering, or related field preferred

Role Overview

We are seeking a Senior DevOps Engineer (f/m/d) to design, implement, and maintain scalable infrastructure and automated deployment pipelines for modern healthcare technology platforms.

In this role, you will play a key part in improving the reliability, scalability, and security of the software delivery lifecycle, working closely with engineering teams to enable faster, safer releases through automation and DevOps best practices.

This is an opportunity to contribute to cutting-edge medical technology solutions while helping shape DevOps culture and engineering standards across the organization.

Key Responsibilities

CI/CD & Automation

• Design, build, and maintain scalable and secure CI/CD pipelines

• Implement automated build and deployment processes

• Support continuous integration and continuous delivery best practices

Cloud Infrastructure

• Develop and manage Infrastructure as Code (IaC) using tools such as:

• Terraform

• HashiCorp Packer

• Ansible

• Design and maintain secure Azure cloud environments

• Provision and manage cloud infrastructure resources

DevOps Enablement

• Collaborate with development teams to implement automated development workflows

• Coach teams on DevOps principles and best practices

• Mentor engineers on DevOps architecture and automation strategies

Security & Compliance

• Integrate security practices into the CI/CD pipeline including:

• Code signing

• Static code analysis

• Security testing

• Ensure build pipelines align with modern DevSecOps practices

Monitoring & Reliability

• Implement monitoring and observability tools

• Support system stability, performance, and incident response processes

Required Qualifications

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

• Minimum 5+ years of experience in DevOps, cloud infrastructure, or software development

• Strong experience working with Azure cloud environments

• Hands-on experience with CI/CD platforms such as:

• GitHub / GitHub Actions

• Azure DevOps

• Jenkins or similar tools

• Experience working with DevOps automation tools including:

• Terraform

• Ansible

• HashiCorp Packer

• Experience with monitoring and automation tools such as:

• Snyk

• Sonar

• New Relic

• Strong communication skills and ability to work across engineering teams

• Fluent English

Nice to Have

• Experience with test automation tools (e.g., Ranorex, Playwright)

• Azure Cloud Administrator certification

• German language skills

• Experience with network administration and monitoring tools

Work Environment

• Modern office located in Vienna’s Millennium Tower

• Excellent public transport connectivity

• Flexible working hours

• Hybrid work model with home office flexibility

Benefits & Perks

• Flexible working arrangements

• Employee stock ownership program

• Social benefits and wellbeing initiatives

• Complimentary office amenities

• Childcare support options

• Collaborative engineering culture focused on innovation

Ideal Candidate

The ideal candidate is a hands-on DevOps engineer who:

• Has strong experience designing CI/CD pipelines and cloud infrastructure

• Understands DevOps culture and continuous improvement

• Can guide development teams toward automation and DevSecOps practices

• Is comfortable mentoring engineers and driving engineering standards

• Thrives in collaborative, cross-functional environments

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)

Data Engineer Consultant | Hybrid | Netherlands | €77K–€88K + €3K Bonus

Job Title: Data Engineer Consultant

Location: Netherlands (Hybrid - 2 days office, 3 days home)
Industry: Data Engineering
Compensation: €77,472 - €87,840 per year (€3,200 - €4,000 monthly)
Monthly Bonus: €3,000
Working Hours: Minimum 36 hours per week
Vacation Days: 25
Mobility Budget: €450 monthly
Visa Sponsorship: Not Available
Languages Required: Fluent Dutch and English
Relocation Assistance: Not Available
Holidays: 25

Job Description

As a Data Engineer Consultant, your primary responsibility is to prepare data for analytical or operational use. You will build data pipelines to bring together information from different source systems. You will integrate, consolidate, and clean the data before structuring it for use in analytical applications.

While working on challenging assignments with our clients, we also focus on your professional growth. We believe in helping you discover and unlock your potential through coaching, training, and sharing knowledge. This enables you to continue developing as a professional and helps us serve our clients even better.

Ideal Candidate

The ideal candidate should possess deep knowledge of data engineering and data modeling, both conceptually and dimensionally. You should have experience with various cloud architectures, such as Microsoft Azure or AWS, and be familiar with working in Scrum, Agile, and DevOps methodologies. You should be proficient in technologies such as Databricks, Spark Structured Streaming, and PySpark, and be capable of translating user requirements into appropriate solutions. Additionally, you should be skilled in analyzing source data and designing effective data models.

Key Responsibilities

• Data Engineering: Build and maintain data pipelines, integrate data from various source systems, and structure it for analytical purposes.

• Data Modeling: Apply conceptual and dimensional data modeling techniques to ensure data can be leveraged effectively.

• Technology Application: Use Databricks, Spark, and PySpark to build robust data solutions.

• Collaboration: Work within Scrum and Agile teams to develop data solutions that meet business needs.

Skills & Qualifications

Must-Have Skills

• Data Engineering

• Data Modeling

• Scrum, Agile, DevOps methodologies

• Python

• MySQL

• Microsoft Azure

• Bachelor’s degree (HBO or equivalent)

• Fluency in Dutch

Preferable Skills

• Databricks

• Microsoft Power BI

• Azure Data Factory

• Data Vault

• Data Governance

• Bachelor’s degree in Data Science (BSc) or Computer Science (BSc)

• Data Engineering on Microsoft Azure (DP-203) certification

• Proficiency in English

Soft Skills

• Strong communication skills

• Adaptability

• Teamwork and collaboration

• Problem-solving abilities

• Self-driven and motivated

Experience

• More than 5 years of experience working in complex data environments at top 500 companies.

Compensation & Benefits

• Annual Salary: €77,472 - €87,840

• Monthly Salary: €3,200 - €4,000

• Monthly Bonus: €3,000

• Mobility Budget: €450

• Extra Benefits: Pension package, phone, expenses reimbursement, lease budget, and laptop.

Working Conditions

• Hybrid Work: 2 days in the office, 3 days remote

• Vacation: 25 days off per year

• Visa Sponsorship: Not available

• Relocation Assistance: Not available

• Working Hours: Minimum of 36 hours per week

Orchestration Engineer - USA, Remote - $85,000 - $103,000

Orchestration Engineer

USA, Remote

$85,000 - $103,000

Job Description

Are you a creative engineer who takes pride in facilitating best practices at the highest level in an organization? Are you passionate about innovating, designing, and delivering scalable production infrastructure that enables development teams, and runs games that provide joy to players worldwide? Would you like to experience the power or your Talent Unleashed in a company that values you, is invested in every employee, and exists to bring joy to life through the Power of Play?

Summary:

We are seeking an innovative Orchestration Engineer to partner with technical and product teams, understand the unique and common aspects of each, and develop, facilitate, and build tooling to accelerate organizational velocity. The successful candidate will be responsible for collaborating with tech teams, stakeholders, and senior business leaders throughout our in defining, championing, and aligning the businesses’ needs with a compelling enterprise vision for Orchestration practices as we transform and advance the design, development, and build some of your very favourite social and casino games.

Roles and Responsibilities:

·      Collaborate with development and product teams to elevate existent best practices and collaborate to build automated, self-service solutions that address identified opportunities.

·      Play a vital development role in building best practices-based DevOps culture at our company.

·      Be a team player and evangelist to drive adoption and knowledge at all levels of the organization.

·      Develop, advocate, and operate Orchestration solutions and tooling accelerating our goals for hybrid on-premises and Public Cloud deployments.

Required Skills and Experience:

·      4+ years of hands-on engineering and administration experience in virtualized environments.

·      Experienced in delivering robust, performant, and scalable orchestrated infrastructure both on-premises and in Public Cloud.

·      Demonstrated team collaboration, communication, problem-solving, and analytical skills.

·      Experienced with Infrastructure as Code tools and practices (Terraform, Helm, Ansible, Packer).

·      Strong knowledge of technologies, tools, and practices such as:

       On-premises and Public Cloud containerization and orchestration technologies (Docker, Kubernetes, GKE, Anthos/Istio)

       Message Queue technologies (RabbitMQ, Kafka, SQS, GCP Pub/Sub

       On-premises and Public Cloud-based architectures (GCP, AWS, Microsoft Azure)

       Secrets management tools and practices (Vault, KMS)

       SOA, security by design, and deployment automation practices

·      Proficiency with Source Code Management and build systems (GitHub, SVN, Jenkins)

·      Experienced with languages such as Python, Go, Bash and/or PowerShell.

·      Bachelor’s degree or equivalent work experience.

Our company is delighted to be named a Great Place to Work-Certified® company for the first time in Australia and the U.S, while also achieving certification in India for an impressive 6th time.

Orchestration Senior Engineer - USA, Remote -Orche $96,500 – $120,000

Orchestration Senior Engineer

USA, Remote

$96,500 – $120,000

Job Description

Are you a creative technical leader who takes pride in facilitating best practices at the highest level in an organization? Are you passionate about innovating, designing, and delivering scalable production infrastructure that enables development teams, and runs games that provide joy to players worldwide? Would you like to experience the power or your Talent Unleashed in a company that values you, is invested in every employee, and exists to bring joy to life through the Power of Play?

Summary:

We are seeking an innovative Orchestration Senior Engineer to partner with technical and product teams across business units, understand the unique and common aspects of each, and design, facilitate, and build tooling to accelerate organizational velocity. The successful candidate will be responsible for collaborating with tech teams and stakeholders throughout our in defining, championing, and developing solutions with a compelling vision for Orchestration practices as we transform and advance the design, development, and build some of your very favourite social and casino games.

Roles and Responsibilities:

·      Lead the building of an Orchestration development practice and a high-performance, responsive team of DevOps Orchestration Engineers.

·      Collaborate with development and product teams across business units to elevate existent best practices and collaborate to build automated, self-service solutions that address identified opportunities.

·      Play a key role in building best practices-based DevOps Orchestration culture at our company.

·      Be a mentor and evangelist to drive adoption and knowledge at all levels of the organization.

·      Design, advocate, and operate Orchestration solutions and tooling accelerating our goals for hybrid on-premises and Public Cloud deployments.

Required Skills and Experience:

·      8+ years of hands-on engineering and administration experience in virtualized environments.

·      Proven experience delivering robust, performant, and scalable orchestrated infrastructure both on-premises and in Public Cloud.

·      Demonstrated technical leadership, communication, problem-solving, and analytical skills.

·      Proficiency with Infrastructure as Code tools and practices (Terraform, Helm, Ansible, Packer).

·      Proven knowledge of technologies, tools, and practices such as:

·      On-premises and Public Cloud containerization and orchestration technologies (Docker, Kubernetes, GKE, Anthos/Istio)

·      Message Queue technologies (RabbitMQ, Kafka, SQS, GCP Pub/Sub)

·      On-premises and Public Cloud-based architectures (GCP, AWS, Microsoft Azure)

·      Secrets management tools and practices (Vault, KMS)

·      SOA, security by design, and deployment automation practices

·      Proficiency with Source Code Management and build systems (GitHub, SVN, Jenkins)

·      Proven experience with languages such as Python, Go, Bash and/or PowerShell.

·      Bachelor’s degree or equivalent work experience.

Our company is delighted to be named a Great Place to Work-Certified® company for the first time in Australia and the U.S, while also achieving certification in India for an impressive 6th time.