Senior Java Backend Developer (Onsite)

Job Title: Senior Java Backend Developer (Onsite)
Location: Mason, OH

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Role Summary:

We are looking for a Senior Java API / Microservices Developer to design, build, and support scalable microservices and REST APIs on AWS. This is a backend-only role (not full stack). 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.

• 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.

• Build and operate services on AWS, following security and operational standards (IAM basics, networking awareness, observability).
• Support CI/CD, release activities, and production troubleshooting.

• Design and optimize data access with:
  • Oracle
  • Aurora MySQL
  • MongoDB
• Perform query tuning/indexing guidance and improve service performance and reliability.

• 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).

• 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.

• 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.

• 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.