Senior Golang Software Engineer

AgileEngine โ€ข India
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

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.

Key Highlights
Develop and enhance features for a scalable AI platform
Focus on implementation and execution
Improve system reliability and scalability
Key Responsibilities
Develop and enhance features for a scalable AI platform
Focus on implementation and execution to meet strict delivery timelines
Improve system reliability, resiliency, and scalability
Technical Skills Required
Golang Kubernetes Microservices Prometheus Grafana
Benefits & Perks
Remote work
Salary not explicitly stated
Nice to Have
RAG
MongoDB
Milvus
AI Systems

Job Description


๐Ÿ”ฅ Senior Golang software Engineer- WFH

THIS IS FULLY REMOTE WORKING OPPORTUNITY

Pls read the JD carefully and only proceed if you have the relevant experience.

If you are interested and fulfill the below mentioned criteria then please share below information below.

1. EMAIL ID
2. Years of relevant experience
3. CCTC/ECTC
4. Notice period ( We need someone to join within 1 month )
5. Updated Resume mentioning skills of the given JD

Location: Remote, any city in India

Must Haves:
  • Experience: 6-8 years of professional software development.
  • Golang: High proficiency in Golang.
  • Kubernetes: Strong, hands-on experience with Kubernetes.
  • Microservices: Proven experience building and maintaining microservices architectures with a focus on scalability, reliability, and resiliency.
  • Observability: Good knowledge of enterprise observability frameworks, including Prometheus and Grafana.
  • Communication: Very strong English communication skills.
  • Ramp-up: Ability to learn and debug complex systems quickly.
Main Tasks:
  • 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.
Nice to Haves:
  • RAG: Familiarity with Retrieval-Augmented Generation (RAG) models.
  • Databases: Experience with document databases (e.g., MongoDB).
  • VectorDBs: Experience with vector databases (e.g., Milvus) is a significant plus.
  • AI Systems: Demonstrable experience in building scalable AI inferencing systems.

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