Java Full Stack Architect(Ex-Apple) @ Austin, TX / Cupertino, CA (Hybrid) :: FTE
Spotted 4d ago
Job details
- Pay
- $160,000 – $170,000 a year
- Work mode
- Hybrid
- Level
- Staff / principal
- Experience
- 10+ years
- Posted
- Oct 6, 2026
- Last confirmed open
- Oct 7, 2026
Job description
About this role
Role: Java Full Stack Architect(Ex-Apple)
Location: Austin, TX / Cupertino, CA (Hybrid)
Exp: 10+ years
$160k to $170k
Full Time
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
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