DevOps & Cloud Engineer Jobs 2026 – Freshers & Experienced | AWS, Azure, Kubernetes & SRE Roles

Job Summary

DevOps, Cloud, and Site Reliability Engineer jobs are available across leading companies including PTC, Qualys, Circana, Kaleris, SimCorp, DBS Bank, Rohde and Schwarz, and LSEG. These opportunities cover Cloud Operations, DevOps, SRE, CloudOps, Data Operations, and AI/ML Site Reliability roles across Gurgaon, Pune, Bengaluru, Chennai, Hyderabad, and New Delhi. Candidates with knowledge of AWS, Azure, GCP, OCI, Docker, Kubernetes, Terraform, Jenkins, Git, Linux, Python, scripting, monitoring, CI/CD, and cloud infrastructure can explore these roles. Some positions also involve AI/ML, automation, data operations, and modern SRE practices.

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Job Details - 1

Company PTC
Role Cloud Services Operations Engineer
Location Gurgaon, India

Job Details - 2

Company Qualys, Inc.
Role Site Reliability Engineer, Cloud Platform
Location Pune, India

Job Details - 3

Company Circana
Role Data Operations Engineer (DevOps)
Location Bengaluru, India

Job Details - 4

Company Kaleris
Role CloudOps Intern
Location Chennai, India

Job Details - 5

Company SimCorp
Role Site Reliability Engineer
Location Hyderabad, India

Job Details - 6

Company DBS Bank
Role Associate, Specialist – SRE Engineer
Location Hyderabad, India (Hybrid)

Job Details - 7

Company Rohde and Schwarz
Role DevOps Engineer
Location New Delhi, India

Job Details - 8

Company LSEG
Role AI/ML Site Reliability Engineer
Location Hyderabad, India

Requirements

  • Cloud Platforms – AWS, Microsoft Azure, GCP and OCI.
  • DevOps and CI/CD – Jenkins, Git, GitHub, CI/CD pipelines.
  • Containers and Orchestration – Docker and Kubernetes.
  • Linux / Unix and Scripting – Python, Bash, Shell and Groovy.
  • Infrastructure as Code – Terraform and cloud infrastructure management.
  • SRE and ITIL Practices – Reliability, incident management and automation.
  • Monitoring and Observability – Azure Monitor, Log Analytics, metrics, logging, tracing and dashboards.
  • Databases and SQL – SQL, PostgreSQL, Oracle, SQL Server and operational queries.
  • ETL and Data Operations – ETL processes and multi-source data handling.
  • AI/ML and Automation – AI-assisted tools, MCP (Model Context Protocol) and Agentic AI concepts.