Python & Java Full Stack Developer (AI-Assisted)

Jabil is a global engineering, supply chain, and manufacturing solutions partner serving leading brands worldwide. The Python & Java Full Stack Developer will build AI-assisted manufacturing test and debug automation platforms, owning end-to-end features across AWS infrastructure, Python and Java services, agentic LLM workflows, and Angular frontends. The role also involves developing retrieval and scoring systems, observability, CI/CD, API contracts, and production-ready cloud-native architectures.

Responsibilities:

• Design, build, and ship feature end-to-end across the full stack AWS infrastructure, Python and Java backend services, agentic LLM workflows, and the Angular frontend for a system serving manufacturing across multiple sites
• Build and evolve agentic AI workflows on Amazon Bedrock
• Own backend services across two ecosystems
  • Python serverless (Lambda, event-driven) and
  • Java microservices (Spring Boot/Quarkus) with REST and event-driven APIs, persistence, async pipelines, and message-bus integrations
  • Care for idempotency, retries, and dead-letter handling throughout
• Define and evolve infrastructure as code (AWS CDK) across multi-stack deployments with cross-stack references
• Treat published API surfaces as backwards-compatibility contracts, using shared interface/schema libraries consumed across services and clients
• Develop retrieval and scoring logic:
  • log chunking, embeddings, vector/semantic search in OpenSearch, and relevance ranking
• Instrument with CloudWatch dashboards, alarms, tracing, structured diagnostic events and own CI/CD on Azure DevOps with gated, reversible rollouts
• Contribute to shared foundational code with wide blast radius, keeping changes narrow and well-tested

Requirements:

• You can read, debug, and correct generated code as readily as you can produce it, and you can justify an architectural decision independent of what any tool suggested
• Decompose features into clear requirements, design, and task breakdowns that both humans and agents execute against, treating the spec as the source of truth and iterating on it
• Author and use reusable agent capabilities (skills, steering docs, custom tools/MCP integrations, project conventions) to encode team standards and make agents productive in a large codebase
• Give agents the right context (conventions, contracts, constraints) and validate their output rather than trusting it blindly
• Pair agent velocity with strong testing, review, and observability so fast-moving changes stay safe in production
• Modern typing, async patterns, data validation (e.g., Pydantic), clean error handling, and a codebase-scale sense of structure
• Deep experience with Spring Boot and/or Quarkus, clean architecture, and idiomatic use of the type system
• Production AWS serverless and cloud experience across the stack:
• Lambda
• ECS Fargate
• DynamoDB
• S3
• SQS
• OpenSearch
• VPC
• VPC Endpoints
• API Gateway (Private)
• EventBridge
• IAM
• IAM Roles Anywhere (trust anchor, cross-environment access)
• Amazon Bedrock
• CloudWatch (alarms + dashboards)
• SSM Parameter Store
• ECR assets
• JPA / Hibernate
• JDBC
• transaction management
• NoSQL data modeling (DynamoDB access patterns)
• and relational database design, management, and query optimization
• Production REST services; comfortable with versioning and backwards-compatibility
• Java virtual threads (Project Loom) and reasoning clearly about concurrency correctness
• Designing and operating microservices with a message bus (NATS.io, Kafka, SQS, or similar), including idempotency, retries, and failure handling
• Building applications with LLMs (function calling, prompt design, RAG, embeddings) and evaluating output quality. You understand that specifying and validating agent behavior is the hard part
• Daily, judicious use of AI coding agents (Claude, Kiro, etc.), spec-driven workflows, and reusable agent skills/powers, paired with the fundamentals to review their output critically
• Building and maintaining a modern web UI (Angular/TypeScript) that consumes these APIs
• Unit, integration, and mocking as a first-class part of shipping
• Docker and Docker Swarm
• Kubernetes
• Git
• Azure DevOps pipelines
• and code review in a sizable multi-repo codebase
• Blue/green, canary, gated rollout, and rollback
• Structured logging, tracing, metrics; secure coding and auth fundamentals; and building/consuming analytics on operational data
• BS degree in Computer Engineering, Computer Science or related field
• 10+ years' experience in a software development capacity with enterprise server, storage or networking products
• MS preferred