DevOps Specialist

Job Title: AI Training Data Engineer – DevOps & Backend Specialist

Job Description:

About the Role

We 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 Do

• Write realistic DevOps and backend engineering scenarios used to train AI models • Review, evaluate and rank AI-generated code for correctness, security and efficiency • Build and contribute to CI/CD, Kubernetes and infrastructure-as-code task libraries • Provide expert judgment on AI outputs based on your hands-on engineering experience

Work Structure

• Working hours: 5–8 hours per day, flexible • Contract: 3 months, extendable based on performance • Work mode: 100% Remote — anywhere in India

Who 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 engagements

Required Skills & Qualifications

• 3–10 years of hands-on software engineering experience • CS degree at undergraduate level — mandatory • Strong proficiency in Python, Go/Golang, or Bash (any one) • Solid experience with Kubernetes and Docker • Hands-on CI/CD experience — GitLab CI or GitHub Actions preferred • Working knowledge of Terraform or any Infrastructure-as-Code tool • Familiarity with at least 3 of the following: Prometheus, Grafana, Keycloak/IAM, gRPC, PostgreSQL, Redis, API Design • Must have own high-performance laptop and reliable high-speed internet

Important Only candidates available to join within 0–15 days will be considered.