Senior Software Engineer – Java, AWS & Payments Systems | San Jose (Hybrid)

Senior Software Engineer – Payments (Java / AWS)

📍 Location: San Jose, California
🏢 Work Model: Hybrid (3 days onsite – Mon, Tue, Thu | 2 days remote)
💼 Employment Type: Contract
⏳ Duration: 6+ months (likely extension)
🎓 Education: Bachelor’s Degree required (Computer Science or related)
📈 Experience Level: Mid-Senior
🕒 Experience Required: 5+ years
🌎 Visa Sponsorship: Not available

🚀 Role Overview

We’re hiring a Senior Backend Engineer to build and scale high-performance payment systems in a fast-growing fintech environment.

This role is focused on Java-based microservices and AWS cloud architecture, supporting secure, scalable, and low-latency transaction systems.

You’ll work on mission-critical payment infrastructure, collaborating with product and engineering teams to deliver next-generation capabilities.

✅ MUST HAVE (Core Requirements)

Backend Engineering

• 5+ years experience designing, developing, and operating:

• Distributed systems

• Microservices architectures

• Strong hands-on expertise in:

• Java (Spring Boot preferred)

Cloud (AWS)

• Proven experience building and supporting applications on:

• AWS (EC2, RDS, Lambda, API Gateway)

• Ability to design scalable, reliable, cloud-native systems

⭐ NICE TO HAVE

• Experience in payments or fintech environments

• Knowledge of:

• PCI compliance, encryption, and secure payment systems

• Familiarity with:

• AI coding tools (e.g., GitHub Copilot or similar)

• Master’s degree in Computer Science or related field

🛠️ Key Responsibilities

Backend & System Design

• Design and build scalable microservices and APIs

• Develop low-latency, high-availability systems

• Ensure systems are secure, resilient, and production-ready

Cloud & Infrastructure

• Build and maintain services on AWS

• Support CI/CD pipelines and automated deployments

• Optimize for performance, cost, and scalability

Reliability & Operations

• Implement monitoring, logging, and alerting

• Troubleshoot and resolve production issues quickly

• Ensure high system uptime and performance

Collaboration & Ownership

• Work closely with:

• Product managers

• Engineers

• Stakeholders

• Participate in:

• Code reviews

• Design discussions

• Technical decision-making

• Take ownership of critical backend systems

⚡ Interview Process

• 2 stages only (fast turnaround):

1. Technical interview (includes light live coding)

2. Hiring manager conversation

📌 Submission Requirements (MANDATORY)

Please include a short 3–5 bullet summary covering:

• Java + AWS experience

• Key project highlights (especially backend / distributed systems)

• Availability & interest level

• Confirmation of hybrid (San Jose) alignment

🎯 Ideal Candidate

• Strong backend engineer first (not full-stack leaning frontend)

• Hands-on builder of distributed, cloud-native systems

• Experience working in high-scale or transaction-heavy environments

• Comfortable owning systems end-to-end in production

DevOps / AWS / Python Engineer – Top Secret Clearance | Multiple U.S. Locations

DevOps / AWS / Python Engineer (Mid–Senior) – Top Secret Clearance Required

📍 Locations (Onsite):

• Gaithersburg, MD

• St. Louis, MO

• Alexandria, VA

• Chantilly, VA

🏢 Work Model: 100% Onsite
💼 Employment Type: Full-Time
💰 Salary Range: $100,000 – $180,000
🔐 Clearance: Active Top Secret (SCI required post-hire; CI Poly willingness)
🎓 Education: Bachelor’s Degree Required
🚚 Relocation Assistance: Available

About the Role

This is a hands-on DevOps / Cloud Engineering role supporting the development, deployment, automation, and sustainment of mission-critical systems in a highly secure environment. You’ll work closely with development teams to modernize workflows, automate manual processes, and operate scalable AWS-based solutions using DevSecOps best practices.

This role is ideal for engineers with strong Python + AWS + GitLab CI/CD experience who enjoy operating at the intersection of infrastructure, automation, and secure software delivery.

Key Responsibilities

• Automate manual operational and deployment processes

• Develop Windows automation using Python and/or PowerShell

• Support deployment of microservices via DevSecOps pipelines in Windows & Linux environments

• Develop, update, and maintain GitLab CI/CD pipelines

• Configure, troubleshoot, and deploy Docker containers

• Review source code in Git and produce supporting engineering documentation

• Support developer deployments and testing activities

• Provide technical guidance across microservices and platform capabilities

• Create and maintain DevOps documentation

• Perform security remediation based on vulnerability scan results

Required Qualifications

• Active Top Secret Security Clearance with ability to obtain SCI post-hire

• CompTIA Security+ CE (or equivalent DoD 8570 IAT Level II certification)

• U.S. Citizenship required

• Bachelor’s degree with 4+ years of relevant experience
  (or Master’s degree with 2+ years)

• 2–3 years of experience with Kubernetes (OpenShift or EKS preferred)

• 2–3 years of experience with Docker containers

• Strong scripting skills in Python and/or PowerShell

• Experience administering both Windows and Linux systems

• Experience with AWS services (CloudFormation, S3, ECS, Lambda, API Gateway, autoscaling)

• Experience with GitLab CI/CD, including scripting and troubleshooting

• Understanding of DevSecOps methodologies and workflows

• Familiarity with CI/CD pipeline development and sustainment

• Experience supporting development testing in cloud environments

• Strong communication, organization, and collaboration skills

Preferred / Nice-to-Have Skills

• AWS certifications (DevOps Engineer, Solutions Architect, etc.)

• Linux certifications

• Experience with AWS Lambda, ECS, and serverless architectures

• Experience with ArcGIS or geospatial technologies

• Familiarity with collaboration tools (Jira, Confluence, RocketChat)

Key Focus Areas for Screening

When evaluating candidates, the strongest profiles will demonstrate:

• Python scripting experience (ideally with AWS automation using Boto3)

• Hands-on experience with GitLab CI/CD and best practices

• Solid working knowledge of AWS services and architectures

Ideal Candidate

• Security+ certified and clearance-ready

• Strong DevOps engineer with a cloud-first mindset

• Comfortable automating, deploying, and securing AWS-based systems

• Confident working in classified, mission-driven environments

• Detail-oriented, proactive, and collaborative

Additional Details

• Security Clearance Required: Yes

• Visa Sponsorship: Not available

• Travel: None

• Benefits: Full benefits package included

DevOps / AWS / Python Engineer – Top Secret Clearance (Onsite, U.S.) - 4 Locations

DevOps / AWS / Python Engineer (Mid–Senior) – Top Secret Clearance Required

📍 Locations (Onsite):

• Gaithersburg, MD

• St. Louis, MO

• Alexandria, VA

• Chantilly, VA

🏢 Work Model: 100% Onsite
💼 Employment Type: Full-Time
💰 Salary Range: $100,000 – $180,000
🔐 Clearance: Active Top Secret (SCI required post-hire; CI Poly willingness)
🎓 Education: Bachelor’s Degree Required
🚚 Relocation Assistance: Available

About the Role

This is a hands-on DevOps / Cloud Engineering role supporting the development, deployment, automation, and sustainment of mission-critical systems in a highly secure environment. You’ll work closely with development teams to modernize workflows, automate manual processes, and operate scalable AWS-based solutions using DevSecOps best practices.

This role is ideal for engineers with strong Python + AWS + GitLab CI/CD experience who enjoy operating at the intersection of infrastructure, automation, and secure software delivery.

Key Responsibilities

• Automate manual operational and deployment processes

• Develop Windows automation using Python and/or PowerShell

• Support deployment of microservices via DevSecOps pipelines in Windows & Linux environments

• Develop, update, and maintain GitLab CI/CD pipelines

• Configure, troubleshoot, and deploy Docker containers

• Review source code in Git and produce supporting engineering documentation

• Support developer deployments and testing activities

• Provide technical guidance across microservices and platform capabilities

• Create and maintain DevOps documentation

• Perform security remediation based on vulnerability scan results

Required Qualifications

• Active Top Secret Security Clearance with ability to obtain SCI post-hire

• CompTIA Security+ CE (or equivalent DoD 8570 IAT Level II certification)

• U.S. Citizenship required

• Bachelor’s degree with 4+ years of relevant experience
  (or Master’s degree with 2+ years)

• 2–3 years of experience with Kubernetes (OpenShift or EKS preferred)

• 2–3 years of experience with Docker containers

• Strong scripting skills in Python and/or PowerShell

• Experience administering both Windows and Linux systems

• Experience with AWS services (CloudFormation, S3, ECS, Lambda, API Gateway, autoscaling)

• Experience with GitLab CI/CD, including scripting and troubleshooting

• Understanding of DevSecOps methodologies and workflows

• Familiarity with CI/CD pipeline development and sustainment

• Experience supporting development testing in cloud environments

• Strong communication, organization, and collaboration skills

Preferred / Nice-to-Have Skills

• AWS certifications (DevOps Engineer, Solutions Architect, etc.)

• Linux certifications

• Experience with AWS Lambda, ECS, and serverless architectures

• Experience with ArcGIS or geospatial technologies

• Familiarity with collaboration tools (Jira, Confluence, RocketChat)

Key Focus Areas for Screening

When evaluating candidates, the strongest profiles will demonstrate:

• Python scripting experience (ideally with AWS automation using Boto3)

• Hands-on experience with GitLab CI/CD and best practices

• Solid working knowledge of AWS services and architectures

Ideal Candidate

• Security+ certified and clearance-ready

• Strong DevOps engineer with a cloud-first mindset

• Comfortable automating, deploying, and securing AWS-based systems

• Confident working in classified, mission-driven environments

• Detail-oriented, proactive, and collaborative

Additional Details

• Security Clearance Required: Yes

• Visa Sponsorship: Not available

• Travel: None

• Benefits: Full benefits package included

Sr. Principal Full Stack Software Engineer – Data Analytics | Ridgefield, CT | $140k–$210k

💻 Sr. Principal / Lead Software Engineer – Full Stack (Data Analytics)

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)
🏢 Industry: Pharmaceutical / Biotech / Data & AI
🎓 Education: Bachelor’s or Master’s in Computer Science, MIS, or related field
💼 Experience Level: Mid–Senior / Principal (7–10+ years)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for ideal candidate
💰 Compensation: $140,000 – $210,000 base salary + full benefits + bonus eligibility
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Join a world-class Enterprise Data, AI & Platforms (EDP) organization on a mission to harness the power of data and artificial intelligence to transform global healthcare.

As a Full Stack Software Engineer (Lead or Principal level), you’ll design and deliver cloud-native data analytics applications that power advanced insights, innovation, and decision-making across a global enterprise. This role offers the chance to work across the entire stack — from scalable back-end systems and APIs to dynamic data visualizations — while collaborating with multidisciplinary teams in a fast-paced, agile environment.

If you’re passionate about building modern data-driven applications and leading technical excellence, this is your opportunity to make a measurable impact on the future of healthcare and digital innovation.

🧭 Key Responsibilities

• Full Stack Development: Design, develop, and maintain cloud-based applications and services, encompassing front-end and back-end systems.

• Data Analytics Engineering: Build and optimize data pipelines (ETL/ELT) using tools such as AWS Glue, Databricks, and dbt.

• Architecture Integration: Develop serverless back-end solutions using AWS Lambda, API Gateway, and related technologies.

• Visualization & Insights: Build intuitive dashboards and visualization layers using Tableau or Power BI.

• DevOps & Automation: Leverage Git, Jenkins, Docker, and Kubernetes to automate builds, testing, and deployments.

• Agile Collaboration: Work closely with product owners and cross-functional teams in an agile environment to deliver iterative, high-value releases.

• Quality & Testing: Implement robust testing frameworks and continuous integration pipelines to ensure reliability and scalability.

• Mentorship & Leadership: Guide junior developers, contribute to architectural decisions, and champion best practices across engineering teams.

🧠 Required Skills & Experience

✅ 7+ years of professional software development experience, including full-stack data analytics applications.
✅ Proven experience in cloud environments (AWS required) — strong knowledge of Lambda, API Gateway, S3, Glue, and Databricks.
✅ Solid experience building data pipelines (ETL/ELT) using AWS Glue, Databricks, and dbt.
✅ Hands-on expertise with frontend visualization tools like Tableau and Power BI.
✅ Familiarity with containerization and continuous deployment tools (Docker, Kubernetes, Jenkins).
✅ Working knowledge of API integration, serverless architectures, and data security best practices.
✅ Strong communication skills, collaborative mindset, and the ability to mentor and inspire technical teams.

💡 Preferred Skills & Attributes

⭐ Background in pharmaceutical or digital healthcare technology (preferred, not required).
⭐ Experience in agile environments, continuous improvement, and cross-functional collaboration.
⭐ Familiarity with software testing frameworks, QA automation, and CI/CD pipelines.
⭐ A passion for data, AI, and modern analytics solutions that drive business transformation.
⭐ Ability to balance hands-on technical work with strategic architectural leadership.

💰 Compensation & Benefits

💵 Base Salary: $140,000 – $210,000 (commensurate with experience)
🎯 Bonus: Role-based and/or performance incentive
💎 Benefits Include:

• Comprehensive health, dental, and vision coverage

• 401(k) with company match

• Paid holidays, vacation, and flexible hybrid work schedule

• Professional development, mobility, and career growth opportunities

• Relocation assistance for the ideal candidate

🧩 Candidate Snapshot

• Experience: 7–10+ years full-stack development (data analytics focus)

• Core Skills: AWS Cloud | ETL/ELT | Databricks | dbt | Tableau | Power BI | Lambda | API Gateway | DevOps

• Seniority: Lead or Principal Engineer

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

• Travel: Occasional

🌍 Why This Role Matters

This role sits at the intersection of software engineering, data analytics, and AI innovation — driving systems that shape the way global teams make data-driven decisions in research, medicine, and operations. You’ll collaborate with visionary technologists and scientists to build solutions that turn complex data into actionable intelligence — ultimately improving lives around the world.

🚀 Ready to engineer the future of data-driven healthcare?
Join a global organization where technology, data, and purpose intersect to deliver meaningful impact — one application at a time.

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.