1 day ago
Bengaluru, India or Hyderābād, IndiaMid Level / Senior

Responsibilities

  • Own Azure infrastructure end to end, including App Services, AKS, Azure SQL, Key Vault, and multi-region networking.
  • Lead CI/CD pipelines across Azure DevOps, Jenkins, and GitHub Actions.
  • Partner with Engineering, QA, DB, and Security teams to run Kubernetes on AKS and shape the platform roadmap.
  • Build observability with Grafana, Prometheus, and OpenTelemetry while owning SLOs, alerting, runbooks, and on-call processes.
  • Mentor and support junior and mid-level DevOps engineers where relevant.
  • Drive infrastructure as code, business continuity and disaster recovery readiness, FinOps, security posture, and AI infrastructure enablement.
  • Lead incidents and deliver lasting fixes rather than short-term patches.

Requirements

  • 4–6 years of experience in DevOps, SRE, or Platform Engineering.
  • Hands-on experience with Azure, Kubernetes, Docker, and infrastructure as code using Terraform, Bicep, or ARM templates.
  • Hands-on experience with monitoring and observability, CI/CD platforms, and scripting in Bash, Python, PowerShell, or Go.
  • Solid understanding of networking fundamentals, including DNS, load balancing, SSL/TLS, firewalls, and VPNs.
  • Working knowledge of AI and ML enablement, including LLM APIs and infrastructure for AI workloads.
  • Experience leading incidents calmly and implementing durable fixes.

Tech Stack

AzureBashDockerGitHub ActionsGoGrafanaJenkinsKubernetesPowerShellPrometheusPythonTerraform

Categories

Keka Technologies Pvt. Ltd.

About Keka Technologies Pvt. Ltd.

1,001-5,000 employees

Keka Technologies builds a unified HR and payroll SaaS platform for businesses, covering HRIS, payroll, time and attendance, leave, performance, talent, and onboarding. It sells by subscription to small, mid‑market, and growing enterprises looking to standardize people operations and compliance. Founded in 2015 and headquartered in Seattle, it is privately held and serves organizations globally across distributed and hybrid workforces.

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