Senior Cloud Software Developer

At Tarana, you will help build a cutting-edge cloud product -- a management system for wireless networks, scaling to millions of devices -- using modern cloud-native architecture and open-source technologies. You will be responsible for designing and implementing distributed software in a microservices architecture.  This could include everything from requirements gathering (working with Product Management and customers) to high-level design to implementation, integrations, operations, troubleshooting, performance tuning, and scaling.

You will work as a key member of an R&D team that owns one or more services, end-to-end.  There will be PoCs, customer pilots, and production releases, all in an agile engineering environment.  Expect to be challenged and stretch your skills on a daily basis. Expect to meet or beat exacting standards of quality and performance.  We will provide the right mentoring to make sure that you can succeed.

The job is based in Pune, and this job profile will require in-person presence in the office multiple days a week to interact with team members.

Required Skills & Experience:

• Bachelor’s degree (or higher) in Computer Science or a closely related field, from a reputed university (Tier1/Tier2)
• At least 10 years of experience in backend software development, in product companies or tech startups
• Experience with building SaaS/IoT product offerings will be a plus
• Software development in Java and its associated ecosystem (e.g., Spring Boot, Hibernate, etc.). Strong TypeScript and Node backend skills would be an advantage
• Microservices and RESTful APIs: implementation and consumption
• Conceptual knowledge of distributed systems -- clustering, asynchronous messaging, streaming, scalability & performance, data consistency, high availability, etc. -- would be a big plus
• Good understanding of databases (relational, NoSQL) and caching
• Experience with cloud-native platforms like Kubernetes will be a big plus
• Working knowledge of network protocols (TCP/IP, HTTP) and standard network architectures, RPC mechanisms (e.g., gRPC)
• Additional skills in using Generative AI in applications. Should be strong in retrieval fundamentals and agentic systems. He/She should have done some hands-on work (beyond demo, poc) and shipped a LLM-based feature to production.