JOB SUMMARY
We are looking for a Senior Tech Lead Java API / Microservices Lead Developer to design, build, and support scalable microservices and REST APIs on AWS. This is a backend-only role. You will lead technical design, mentor engineers, and ensure secure, reliable, and high-performance services. The role also requires strong knowledge of AWS S3, Glue-based ELT, and Apache Iceberg tables to support data ingestion, cataloging, and analytics use cases, plus basic AI/ML awareness for integrating with model-driven services.
Key Responsibilities
API / Microservices (Java, Spring Boot): Lead the design and development of microservices and REST APIs using Java and Spring Boot. Define API contracts, implement business logic, validations, standardized error handling, and logging. Apply resiliency patterns (timeouts, retries, circuit breakers, idempotency) and drive performance improvements. Conduct code reviews, enforce engineering standards, and mentor team members.
AWS & Production Support: Build and operate services on AWS, following security and operational standards (IAM basics, networking awareness, observability). Support CI/CD, release activities, and production troubleshooting.
Data Stores: Design and optimize data access with Oracle Aurora MySQL MongoDB. Perform query tuning/indexing guidance and improve service performance and reliability.
S3 + Glue + Iceberg / ELT: Work with file and table-based data in Amazon S3 (folder/partition design, access controls, encryption, lifecycle). Support ELT pipelines using AWS Glue (jobs, crawlers, workflows) for ingestion, transformation, and standardization. Design and work with Apache Iceberg tables (schema evolution, partitioning, table properties, compaction/maintenance patterns). Collaborate with data engineering and analytics teams to enable consumption via Athena/Glue Data Catalog (and related query engines). Troubleshoot data pipeline issues (permissions, catalog/table visibility, schema mismatches, performance bottlenecks).
AI/ML Awareness (supportive): Integrate services with existing ML inference endpoints; validate payloads and handle model-driven response patterns. Support controlled rollouts for model-dependent features in coordination with ML teams.
Required Qualifications
Strong experience in Java and Spring Boot building production APIs/microservices.
Strong AWS experience including S3 and security fundamentals (IAM, encryption, least privilege).
Hands-on experience with AWS Glue and ELT/data ingestion patterns.
Working knowledge of Apache Iceberg tables (or strong experience with lakehouse table formats).
Strong database experience with Oracle/Aurora MySQL, plus knowledge of MongoDB.
Experience with CI/CD, Git, Maven/Gradle, and automated testing.
Strong troubleshooting and communication skills; ability to lead design discussions.
Preferred Qualifications
Athena optimization experience (partition pruning, Iceberg maintenance/compaction strategy).
Kafka/event streaming.
Docker/Kubernetes (EKS) or ECS.
Observability tools: CloudWatch, Splunk/ELK, Prometheus/Grafana, OpenTelemetry.
Python for scripting/automation.
Security: OAuth2/OIDC, JWT, OWASP, Secrets Manager/Parameter Store.
Infrastructure as Code: Terraform/CloudFormation.
