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.