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Relocation is fine for this role.
Job Overview
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.
Key Responsibilities
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, DynamoDB, 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 DevOps automation using CI/CD, Docker, Kubernetes (EKS), and observability (ELK, Prometheus, Grafana, OpenTelemetry).
Ensure security, scalability, and cost optimization across AWS workloads.
Required Skills
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 PostgreSQL, DynamoDB.
Experience migrating applications between AWS accounts / Landing Zones.
Strong with SQL (PostgreSQL/MySQL) and NoSQL (DynamoDB, Redis).
Experience with Docker, Kubernetes/EKS, CI/CD (Jenkins/GitHub Actions/GitLab), and IaC (Terraform/CloudFormation).
Testing tools: JUnit 5, Mockito, Testcontainers.
Preferred Qualifications
AWS Solution Architect/Developer/DevOps certification.
Experience with DDD, Clean Architecture, CQRS.
Strong leadership, communication, and architectural decision-making.
Nice-to-Have Skills
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 (OpenSearch, Pinecone, Redis Vector).
Awareness of AWS Bedrock services and foundational models (Claude, Llama, Titan).
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