ApplySarthiDevOps Engineer (AI Platform)
Zensar
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This role on the market
2,656 open platform roles across 392 companies are on ApplySarthi right now, most of them in Bengaluru (125), Hyderabad (44), Pune (33).
- Senior SDE, Simulation Infrastructure & PlatformAmazon
- QA Engineer (Manual, Web Platform)Jobgether
- Lead, Platform EngineerQuantum
- Principal Machine Learning Developer, AI/ML PlatformAutodesk
- Senior Supply Demand Planner, Supply Chain Operations – Manufacturer Platform PlanningOracle
What platform roles keep asking for: AWS (31%), Kubernetes (30%), Python (25%), Observability (24%), GCP (22%), System design (19%), Azure (19%), CI/CD (17%) — counted across their open postings here.
DevOps Engineer jobs in India · Remote DevOps Engineer jobs · Azure jobs · CI/CD jobs · Kubernetes jobs · MLOps jobs
Zensar has 260 open roles listed here.
- Software Testing - Azure
- Guidewire ClaimCenter Developer
- AI-Native Full Stack Engineer
- Guidewire Integration Developer + Integration Gateway
- Sr. Observability Engineer – Grafana & Prometheusbengaluru
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for platform roles keep coming back to AWS, Kubernetes, Python, Observability. Practise those questions before you sit with Zensar.
Questions you are likely to be asked
- Why do you want to join Zensar?
- What is your experience with Observability? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the DevOps Engineer (AI Platform) at Zensar interview free →Key Responsibilities Design and implement CI/CD pipelines for AI solutions. Automate infrastructure provisioning using Terraform or Bicep. Manage AI environment deployments across dev, test, and production. Implement monitoring, logging, and observability for AI services. Configure secure environment setup, networking, and access controls. Manage model deployment pipelines and versioning. Ensure scalable and reliable deployment of agents. Implement automated rollback and resilience strategies. Required Skills Azure DevOps / GitHub Actions Terraform / Infrastructure as Code Kubernetes / containerization Monitoring tools (Application Insights, Prometheus, etc.) Cloud networking and security Preferred Experience AI platform deployments MLOps pipelines Model lifecycle management NA
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Listed on oraclehcm · posted 2026-09-28. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.