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