Senior Software Engineer (Golang) - Remote

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 and gRPC-based services , including API design, Protocol Buffers, streaming, and authentication;
• Ability to learn and debug complex systems quickly;

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.

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