Job Title:
DevOps Specialist
Company: V3 Staffing
Location: Noida, Uttar Pradesh
Created: 2026-04-03
Job Type: Full Time
Job Description:
Job Title: AI Training Data Engineer – DevOps & Backend SpecialistJob Description:About the RoleWe are looking for experienced DevOps and Backend Engineers to contribute to an exciting AI training project for one of our global clients. This is not a traditional DevOps role — you will be using your engineering expertise to train and evaluate next-generation AI systems by writing real-world engineering scenarios, reviewing AI-generated code, and building benchmark task libraries.If you are someone who loves problem-solving, has strong hands-on DevOps skills, and wants to be part of the AI revolution — this is your opportunity.What You Will DoWrite realistic DevOps and backend engineering scenarios used to train AI modelsReview, evaluate and rank AI-generated code for correctness, security and efficiencyBuild and contribute to CI/CD, Kubernetes and infrastructure-as-code task librariesProvide expert judgment on AI outputs based on your hands-on engineering experienceWork StructureWorking hours: 5–8 hours per day, flexibleContract: 3 months, extendable based on performanceWork mode: 100% Remote — anywhere in IndiaWho Can Apply✔ Full-time employees looking for a side gig ✔ Freelancers available for minimum 5 hours/day ✔ Professionals currently not working and available immediately ✔ Consultants open to short-term remote engagementsRequired Skills & Qualifications3–10 years of hands-on software engineering experienceCS degree at undergraduate level — mandatoryStrong proficiency in Python, Go/Golang, or Bash (any one)Solid experience with Kubernetes and DockerHands-on CI/CD experience — GitLab CI or GitHub Actions preferredWorking knowledge of Terraform or any Infrastructure-as-Code toolFamiliarity with at least 3 of the following: Prometheus, Grafana, Keycloak/IAM, gRPC, PostgreSQL, Redis, API DesignMust have own high-performance laptop and reliable high-speed internetImportant Only candidates available to join within 0–15 days will be considered.