Java Technical Lead

Job Title Pay Range: $56hr - $61hr Requirement/Must Have: Java Development – 10+ years. Spring Boot & Microservices – 8+ years. REST API Development – 8+ years. AWS Cloud (S3, IAM, Security Fundamentals) – 6+ years. AWS Glue (Jobs, Crawlers, Workflows) – 4+ years. ELT/Data Ingestion Pipelines – 4+ years. Apache Iceberg (Schema Evolution, Partitioning, Compaction) – 2+ years. Oracle Database / Aurora MySQL – 8+ years. MongoDB – 3+ years. CI/CD, Git, Maven/Gradle, Automated Testing – 5+ years. Technical Leadership (Architecture, Code Reviews, Mentoring) – 3+ years. Production Support & Troubleshooting – 5+ years. Responsibilities: 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 and 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. Nice to Have: Athena optimization experience (partition pruning, Iceberg maintenance/compaction strategy). Kafka/event streaming. Docker/Kubernetes (EKS) or ECS. Observability tools: CloudWatch, Client /ELK, Prometheus/Grafana, OpenTelemetry. Python for scripting/automation. Security: OAuth2/OIDC, JWT, OWASP, Secrets Manager/Parameter Store. Infrastructure as Code: Terraform/CloudFormation. Qualification And Education: 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. Cynet Systems