Software Engineer (Go) ID50984 at AgileEngine

, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Golang, Kubernetes, Microservices, Scalability, Reliability, Observability, HTTP/REST, gRPC, Protocol Buffers, Streaming, Authentication, AI/ML, System Design, Debugging

Industry

Software Development

Description

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.

Responsibilities

The role involves developing and enhancing features for a scalable, microservices-based AI platform, focusing on implementation to meet strict delivery timelines. Responsibilities also include improving system reliability and observability within a complex, globally distributed environment.