Software Engineer III - Java Full Stack Developer + GenAI / LLM + AWS
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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop full-stack software solutions with emphasis on Java, Spring Boot, Python (AWS Lambda), microservices, and Camunda workflow orchestration deployed on AWS ECS.
Build and integrate AI-driven capabilities including LLM-based services, orchestration, and automation with a strong focus on scalability, resilience, security, and operational stability.
Leverage enterprise-authorized AI-assisted software development tools for coding, testing, troubleshooting, and documentation while ensuring responsible AI use and validation of AI outputs.
Minimum Requirements
3+ years of applied experience with formal training or certification in software engineering concepts.
Proficiency in Java Full Stack Development including microservices and API (REST/streaming) development.
Experience with at least one major cloud platform (AWS, GCP, or Azure), and familiarity with data technologies (relational and/or NoSQL) and observability practices.
Hands-on experience with enterprise-authorized AI-assisted software development tools and understanding of responsible AI use in engineering workflows.
Ideal Candidate Profile
Experienced in designing scalable, resilient, and secure cloud-native microservices and full-stack applications within Agile Scrum teams.
Knowledgeable in modern software development practices including CI/CD, Docker, Kubernetes, Helm, multi-region service deployments, and zero-downtime release strategies.
Practical understanding of generative AI/LLM use cases, Python for AI/ML integrations, and integrating AI capabilities into enterprise software products.