Job SummaryWe are seeking a Senior Java API / Microservices Developer to design, develop, and support scalable backend microservices and REST APIs on AWS. This role focuses on backend engineering, cloud-native application development, data integration, and production support. The ideal candidate will have strong expertise in Java, Spring Boot, AWS services, distributed systems, and modern data lake technologies including AWS Glue and Apache Iceberg.
Key Responsibilities- Design, develop, and maintain scalable microservices and REST APIs using Java and Spring Boot
- Define API contracts and implement business logic, validations, standardized error handling, and logging
- Apply resiliency and reliability patterns including retries, circuit breakers, timeouts, and idempotency
- Conduct code reviews and enforce engineering and development standards
- Mentor and guide engineering team members on technical best practices
- Build and support cloud-native applications and services on AWS
- Support CI/CD pipelines, deployment activities, and production troubleshooting
- Design and optimize database access and query performance across relational and NoSQL databases
- Work with Amazon S3 for file and table-based data storage, partitioning, encryption, and lifecycle management
- Develop and support ELT pipelines using AWS Glue including jobs, crawlers, and workflows
- Design and maintain Apache Iceberg tables including schema evolution, partitioning, and optimization strategies
- Collaborate with data engineering and analytics teams to support data cataloging and query consumption
- Troubleshoot data ingestion, pipeline, schema, and performance issues
- Integrate backend services with ML inference endpoints and model-driven services
- Support observability, monitoring, and operational excellence initiatives
Required Qualifications- Strong experience with Java and Spring Boot for backend API and microservices development
- Experience designing and supporting production-grade REST APIs and distributed systems
- Strong AWS experience including:
- Amazon S3
- IAM and security fundamentals
- Encryption and access control concepts
- Hands-on experience with AWS Glue and ELT/data ingestion workflows
- Working knowledge of Apache Iceberg tables or similar lakehouse table formats
- Strong database experience with:
- Oracle
- Aurora MySQL
- MongoDB
- Experience with CI/CD pipelines, Git, Maven, or Gradle
- Experience with automated testing and production support activities
- Strong troubleshooting, analytical, and problem-solving skills
- Excellent verbal and written communication skills
- Ability to lead technical design discussions and mentor engineering teams
Preferred Qualifications- Experience optimizing Athena queries including partition pruning and Iceberg maintenance strategies
- Experience with Kafka or event-streaming platforms
- Experience with Docker, Kubernetes, EKS, or ECS
- Experience with observability and monitoring tools such as:
- CloudWatch
- Splunk/ELK
- Prometheus/Grafana
- OpenTelemetry
- Python scripting and automation experience
- Knowledge of security best practices including OAuth2, OIDC, JWT, OWASP, and secrets management
- Experience with Infrastructure as Code tools such as Terraform or CloudFormation
- Familiarity with AI/ML integration patterns and model-driven service architectures
