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Software engineer (go) id50984

Miguel Alemán (La Doce), Son
AgileEngine, LLC.
De EUR 400,000 a EUR 600,000 al año
Publicada el 28 noviembre
Descripción

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; 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. J-18808-ljbffr

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