Java Full Stack Architect

Cupertino, CA Fulltime Job Description Must Have Technical/Functional Skills Own end-to-end solution architecture microservices, APIs, event-driven systems, and front-end Produce HLD, LLD, ADRs, and architecture diagrams; lead design and code reviews Design cloud-native solutions on AWS (ECS/EKS, Lambda, RDS, SQS, API Gateway, CDK) Provide hands-on guidance across Java back-end, JavaScript/TypeScript front-end, and Python services Act as primary liaison with Apple DRIs translate platform standards into actionable engineering Lead and attend daily offshore calls; mentor distributed teams and ensure architectural consistency Drive DevSecOps, CI/CD, IaC (Terraform/CDK), observability, and NFR adherence Evaluate and integrate AI/LLM tools (Claude, Copilot) into development workflows Must-Have 12 15 years of engineering experience; 5+ years as Architect still actively coding Deep hands-on Java (17/21), Spring Boot 3.x, Spring Cloud, microservices Strong AWS expertise (multi-service, production-grade) Strong proficiency in Angular, JavaScript/TypeScript, and Python for full-stack development Solid grasp of distributed systems, Kafka/SQS/SNS, REST/GraphQL/gRPC Proven stakeholder liaison experience at DRI / senior leadership level Comfortable with offshore collaboration across time zones Fluent with AI-assisted development Claude (Anthropic), GitHub Copilot; can review, validate, and extend AI-generated code Preferred Prior experience with Apple engineering teams or DRI-driven delivery models AWS certification Solutions Architect Professional or DevOps Engineer Hands-on with Claude API / LLM integration RAG, prompt engineering, agentic workflows Experience with Kubernetes (EKS), Istio, and container orchestration Data architecture Redshift, Glue, Athena, DynamoDB, Snowflake Consulting / vendor delivery experience at enterprise scale Tech Stack Back-End Java 17/21, Spring Boot 3.x, Spring Cloud, Hibernate Front-End Angular, TypeScript, JavaScript, Node.js Python FastAPI, Pandas, LangChain Cloud AWS (ECS/EKS, Lambda, RDS/Aurora, S3, VPC, IAM, CDK) Messaging Kafka, SQS/SNS, EventBridge AI / LLM Claude (Anthropic), LangChain, RAG pipelines Data MongoDB, PostgreSQL, Redis, DynamoDB DevOps GitHub, GitHub Actions, Docker, Terraform, ArgoCD