Software Engineer (Go) ID50984

AgileEngine is an Inc. 5000 company that creates award\-winning software for Fortune 500 brands and trailblazing startups across 17\+ industries. We rank among the leaders in areas like application development and AI/ML, and our people\-first culture has earned us multiple Best Place to Work awards. **WHY JOIN US** If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! **ABOUT THE ROLE** **We are looking for a Senior Software Engineer** to join a high\-impact AI initiative, driving the evolution of a distributed, microservices\-based platform powered by Golang and Kubernetes. This role plays a critical part in accelerating delivery while enhancing system reliability and observability within a complex, globally distributed environment. You’ll help shape a scalable AI system and collaborate across time zones in a culture that values ownership, speed, and technical excellence. **WHAT YOU WILL DO** \- Develop and enhance features for a scalable, microservices\-based AI platform; \- Focus on implementation and execution to meet strict delivery timelines; \- Improve system reliability, resiliency, and scalability; \- Work with observability tools to monitor and debug the distributed system; \- Collaborate closely with a team distributed across US and India time zones. **MUST HAVES** \- **3\+ years of professional software development experience** ; \- High proficiency in **Golang** ; \- **Strong, hands\-on experience with Kubernetes** ; \- **Proven experience building and maintaining microservices architectures** with a focus on scalability, reliability, and resiliency; \- Very strong English communication skills; \- Strong experience designing and implementing **HTTP/REST and gRPC\-based services** , including API design, Protocol Buffers, streaming, and authentication; \- Ability to learn and debug complex systems quickly; \- Upper\-intermediate English level. **NICE TO HAVES** \- Good knowledge of enterprise observability frameworks, including **Prometheus** and **Grafana** ; \- Familiarity with Retrieval\-Augmented Generation (RAG) models; \- Experience with document databases (e.g., **MongoDB** ); \- Experience with vector databases (e.g., **Milvus** ); \- Demonstrable experience in building scalable AI inferencing systems. **PERKS AND BENEFITS** \- **Professional growth:** Mentorship, TechTalks, and personalized growth roadmaps. \- **Competitive compensation:** USD\-based pay with education, fitness, and team activity budgets. \- **Exciting projects:** Modern solutions with Fortune 500 and top product companies. \- **Flextime:** Flexible schedule with remote and office options.