Java Architect

Experience: 12+ Years

Location:
Austin/TX

Seeking a strong Java Architect with deep experience in cloud migration, application modernization, and AWS-native architectures. Must be hands-on with Java, microservices, and AWS services, and able to lead modernization of legacy Java applications and cloud-native builds.

• Architect and lead migration of Java applications to AWS, including Lift & Shift and modernization.
• Break down legacy monolithic apps into microservices using Java/Spring Boot.
• Design cloud-native solutions using AWS services (Lambda, SQS, SNS, Step Functions, S3, RDS, Dynamo
  
  DB, ALB).
• Create high-level and low-level architecture, integration patterns, and modernization strategy.
• Guide engineering teams on Java best practices, Spring ecosystem, distributed systems, and performance optimization.
• Enable Dev Ops automation using CI/CD, Docker, Kubernetes (EKS), and observability (ELK, Prometheus, Grafana, Open Telemetry).
• Ensure security, scalability, and cost optimization across AWS workloads.

• 12+ years in Java (11/17/21) with strong OOP, multithreading, JVM tuning.
• Expertise in Spring Boot, Spring Cloud, Spring Security, JPA/Hibernate.
• Strong in REST APIs, microservices, event-driven architecture.
• Hands-on with AWS:
  Lambda, Step Functions, SQS, SNS, S3, Glue, RDS Postgre
  
  SQL, Dynamo
  
  DB.
• Experience migrating applications between AWS accounts / Landing Zones.
• Strong with SQL (Postgre
  
  SQL/MySQL) and No
  
  SQL (Dynamo
  
  DB, Redis).
• Experience with Docker, Kubernetes/EKS, CI/CD (Jenkins/Git Hub Actions/Git Lab), and IaC (Terraform/Cloud Formation).
• Testing tools: JUnit 5, Mockito, Testcontainers.

• AWS Solution Architect/Developer/Dev Ops certification.
• Experience with DDD, Clean Architecture, CQRS.
• Strong leadership, communication, and architectural decision-making.

• Exposure to Generative AI concepts (LLMs, embeddings, simple RAG patterns).
• Basic understanding of prompt engineering and LLM integration.
• Familiarity with Agentic AI concepts (AI agents, workflow automation).
• Some experience with vector databases (Open Search, Pinecone, Redis Vector).
• Awareness of AWS Bedrock services and foundational models (Claude, Llama, Titan).

Best Regards,

Deepak Gulia

Sr. Talent Acquisition-USA