ApplySarthiAES - DE - DevOps - AWS DevOps
Zensar
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This role on the market
621 open devops roles across 228 companies are on ApplySarthi right now, most of them in Bengaluru (46), Pune (15), Hyderabad (12).
- DevOps/ML Engineer (m/f/d)Machine Learning Reply
- Founding Devops/FinOps EngineerYasu
- DevOps EngineerSwarmaero
- Senior DevOps Engineer (all genders)Sunday Natural
- DevOps Engineering InternIntel
What devops roles keep asking for: CI/CD (76%), Kubernetes (64%), AWS (58%), Python (51%), Observability (49%), Terraform (47%), Azure (42%), Linux (40%) — counted across their open postings here.
Azure jobs · CI/CD jobs · Kubernetes jobs · MLOps jobs
Zensar has 204 open roles listed here.
- Non Voice - Data Entrybengaluru
- ETL Developer
- Digital Product Owner - B2Bbengaluru
- ESaaS - MSD -Functional - D365 ERP Product Owner/Scrum Masterbengaluru
- Angular
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for devops roles keep coming back to CI/CD, Kubernetes, AWS, Python. 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.
- Walk me through how code gets from a commit to production where you work.
- Tell me about an outage you handled. What did you learn from it?
- How do you decide what to monitor, and what should wake someone up at night?
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 AES - DE - DevOps - AWS DevOps 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 N/A
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Listed on oraclehcm · posted 2026-10-25. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.