2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and develop AWS SDK-based upload and orchestration engines for large-scale historic data transfers to S3.
- Integrate TIFF image packaging and transfer with Swift, XML, JSON, and metadata payloads.
- Build Java and Python backend APIs connecting extraction, metadata generation, reconciliation, and S3 upload workflows.
- Build and maintain a React-based self-service UI for triggering, scheduling, and monitoring batch extraction jobs.
- Configure and support Jenkins CI/CD pipelines and Docker/Kubernetes deployments for extraction and UI services.
- Implement exception handling and re-trigger logic for failed or partial uploads in coordination with Data Quality Engineers.
- Optimize production-scale batch execution for performance and scalability.
- Develop internal administration or monitoring interfaces and support metadata generation and reconciliation processes.
Requirements
- At least 4 to 6 years of full-stack software development experience.
- Advanced Java proficiency for backend and microservices development.
- Strong Python experience for API and pipeline integration.
- Expertise with React for interactive user interfaces.
- In-depth knowledge of Spring Core and Spring Boot.
- Experience with Hibernate, Oracle RDBMS, and MySQL.
- Advanced SQL skills for data extraction and manipulation.
- Practical Docker and Kubernetes experience.
- Hands-on AWS SDK and S3 experience for large-volume object uploads.
- Jenkins experience for CI/CD automation.
- Experience with image handling and TIFF/BLOB formats.
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline.
- AWS Developer or AWS Certified DevOps Engineer certification is preferred.
- Java SE/EE or Spring Framework certification is preferred.
Categories
About Brillio
Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.