Java Full Stack Architect

• 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

• 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

• 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

 

LI-AS3