
Netra Labs provides an AI platform that lets enterprises build and deploy intelligent agents. Ground Truth enables creation of digital twins and AI agents that automate complex tasks, with…

Netra Labs provides an AI platform that lets enterprises build and deploy intelligent agents. Ground Truth enables creation of digital twins and AI agents that automate complex tasks, with…
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Job Description: Java Software Engineer (Contractual)
Company: Netra Labs
Location: Work From Office – Pune (Baner)
Employment Type: Contractual (6–12 months, extendable)
Experience: 5+ years
About Netra Labs
We're building the future of enterprise AI at Netra Labs—crafting intelligent, scalable solutions that transform how businesses operate. Our proprietary Ground Truth® framework powers expert AI agents that deliver real ROI for clients across industries. As we scale our platform capabilities, we need sharp Java engineers who can build rock-solid backend services that power our AI infrastructure.
The Role
You'll be a hands-on Core Java Developer owning critical backend modules of our AI platform—from document processing pipelines (powered by AWS Textract) to real-time agent orchestration services. While you'll operate as an individual contributor, you'll also step up to guide junior engineers and coordinate technical execution when needed. This is a work-from-office role because we believe some of the best ideas happen when smart people share a whiteboard.
What You'll Own
Who You Are
✅ 4+ years of hands-on experience in Core Java development with deep understanding of concurrency, JVM internals, and performance tuning
✅ Production experience with Spring Boot (not just tutorials—we want to see how you've used it to solve real problems)
✅ Built and maintained applications using MongoDB (schema design, indexing, aggregation pipelines)
✅ Automated deployments via GitHub Actions or similar CI/CD tools
✅ Comfortable on AWS —specifically EC2 deployments and Textract integration for extracting text/data from documents
✅ Strong grasp of REST APIs, microservices architecture, and debugging distributed systems
✅ Bonus if you've worked with AI/ML pipelines or document processing systems before