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The Sr. QA Automation Engineer will lead automation strategy, develop testing frameworks, conduct various testing types, and mentor junior team members while collaborating with cross-functional teams.

Develop and scale cloud-native full stack Python applications and REST APIs that power LLM/RAG and semantic search features. Integrate with Databricks/Spark, Elasticsearch, and Neo4j, support CI/CD and containerized deployments, and collaborate with ML/data teams to productionize AI capabilities for DoD systems with security and compliance.

The Full Stack Software Engineer role involves developing full stack applications using React for frontend and Node.js with Spring Boot for backend, alongside managing REST APIs and microservices in an AWS environment, leveraging Docker and Kubernetes for deployment.

The QA Analyst & Automation Specialist will design and maintain automated test suites, execute various tests on SaaS applications, and work collaboratively with teams to ensure quality standards are met.

The Help Desk Specialist provides technical support for desktop and network issues, manages Active Directory, and maintains enterprise systems to ensure operational efficiency and compliance with security standards.