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# Sr QMS Developer : 26-02894

- **Company:** Akraya, Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $166,400.0 - $176,800.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Software Applications, Code Review, Databases, Continuous Integration, Crystal Reports (Reporting Software), Data Integration, Data Security, Relational Databases, Identity and Access Management, Python (Programming Language), Knowledge Management, Systems Development Life Cycle, Software Engineering, SQL Databases, System Testing, Systems Integration, Web Services, Multithreading, Enterprise Software Applications, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Amazon Virtual Private Cloud (VPC), Agentic-AI, AngularJS, Performance Monitor, Trackwise, Front End Software Development, Functional Programming, Api Gateway, Restful APIs, VeevaVault, Software Version Control, Human in the Loop, GXP, Microservices
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/8df5cdcf-d446-451d-9a10-115e86b2f8e2/sr-qms-developer-

## About the Role

* 8+ years of software engineering experience with strong hands-on Java, Spring Boot, REST APIs, SQL, multithreading, and relational data modeling.
 * Full-stack development experience using a modern frontend framework such as React or Angular.
 * 2+ years of production experience building AI/LLM solutions in Python, including agent frameworks, RAG, vector stores, prompt engineering, and systematic evaluation.
 * Strong hands-on AWS architecture and deployment experience with Bedrock/SageMaker, Lambda, API Gateway, S3, IAM, VPC, IaC, and CI/CD.
 * Experience with enterprise QMS integration and regulated environments, including TrackWise, Veeva Vault QMS, MasterControl, or similar platforms, with knowledge of GxP, 21 CFR Part 11, GAMP 5, and computer system validation.

Nice-to-Have Skills:

 * Hands-on TrackWise experience, including OWS/IWS, data model, workflows, business rules, and TWC automation.
 * Experience validating AI/ML-enabled systems in a GxP environment, including traceability, model documentation, human-in-the-loop controls, and performance monitoring.
 * Experience with post-market surveillance and complaint handling processes.
 * Experience integrating SAP systems with QMS or other enterprise applications.
 * Reporting development experience using Crystal Reports, Quality View, or equivalent tools.

Preferred Qualifications:

 * Strong understanding of regulated software development and computer system validation throughout the SDLC.
 * Experience gathering requirements from business users and producing detailed functional and technical design specifications.
 * Ability to manage multiple projects concurrently with minimal supervision in a highly controlled enterprise environment.
 * Excellent communication skills with the ability to work effectively with onsite/offshore teams, vendors, business users, managers, and executives.
 * Experience contributing to knowledge management, mentoring, and team development initiatives.

## Description

We are seeking a highly experienced Sr QMS Developer to build and support software applications and AI capabilities within a regulated Quality Management Systems environment. This is primarily an engineering role rather than a QMS platform configuration role, requiring strong hands-on development experience in Java, Python, AWS, enterprise integrations, and AI/LLM technologies.
The ideal candidate will have experience developing production applications in GxP-regulated environments, building Python-based LLM agents and RAG solutions, designing AWS architectures, and integrating enterprise QMS platforms such as TrackWise, Veeva Vault QMS, or MasterControl. Strong understanding of 21 CFR Part 11, GAMP 5, computer system validation, and change control is required., * Design, develop, test, and deploy Java/Spring Boot applications, microservices, REST APIs, data access layers, and full-stack components supporting quality, compliance, and post-market processes.

 * Build and support Python-based AI/LLM agents, including RAG pipelines, prompt engineering, agent orchestration, evaluation frameworks, guardrails, and human-in-the-loop workflows.
 * Design and implement AWS solutions for application and AI workloads using services such as Bedrock/SageMaker, Lambda, API Gateway, ECS, S3, IAM, and VPC.
 * Develop and maintain integrations between enterprise QMS platforms and surrounding systems using APIs, web services, event-driven interfaces, and data integrations.
 * Troubleshoot application, integration, database, and production issues while managing testing, code reviews, source control, CI/CD, and release processes.
 * Support regulated SDLC and validation activities by producing technical documentation, design specifications, validation deliverables, audit trails, and change-control documentation.