ApplySarthiDevOps Engineer (AI Platform)
Zensar
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This role on the market
2,606 open platform roles across 478 companies are on ApplySarthi right now, most of them in Bengaluru (127), Hyderabad (42), Pune (41).
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- Software Developer - Platform BSP Engineer, SSGAmazon · bengaluru
- Event Program Manager, Content, Global Event Content, Platform Operations, and Go-to-MarketAmazon Web Services
- Director, Software Engineering (Platform Integration)Gartner
- Executive Director, Customer Experience Core Product - Benefits PlatformJPMorgan
What platform roles keep asking for: Observability (34%), Python (34%), AWS (29%), Kubernetes (28%), CI/CD (25%), System design (25%), GCP (17%), Java (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 239 open roles listed here.
- Consultant Prof Services
- SAP MM Consultanthyderabad
- Guidewire Technical Architect
- Enterprise Architectpune
- CloudOps SME (AWS)pune
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for platform roles keep coming back to Observability, Python, AWS, Kubernetes. 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.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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
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Listed on oraclehcm · posted 2026-10-09. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.