About the company
Keka is a modern people platform for growing enterprises. HR, payroll and talent live in one core system, so teams spend less time on admin and more time on their people. More than 12,500 companies trust Keka, from fast-growing small businesses to large enterprises and global companies with teams across borders.
We build software the way HR actually works. It feels human, sets up in days instead of months, and has AI built into every part of HR. With customers across India, the US and the Middle East, our Engineering team is growing fast to keep up. That is where this role comes in.
About the role
As a Senior DevOps Engineer at Keka, you’ll take technical ownership of our Azure-based cloud platform and raise the bar for reliability, security and delivery speed across our SaaS product. You’ll work with Engineering, QA, DB and Security teams to build a stable, automated and cost-efficient platform. In your first year, success means improving deployment speed and safety, strengthening observability and incident response, and enabling AI tooling on shared, governed infrastructure.
You’ll join the Engineering team, which owns the design, build and reliability of Keka’s products. We are going language agnostic, so the team picks the right language and stack for each problem. The team works with high ownership, clear standards and a strong bias for execution.
What you'll do
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Own Azure infrastructure end to end, from App Services, AKS, Azure SQL and Key Vault to networking across multiple regions
Lead CI/CD pipelines across Azure DevOps, Jenkins and GitHub Actions to deliver faster, safer and more automated deployments
Partner with Engineering, QA, DB and Security teams to run Kubernetes on AKS and shape the platform roadmap
Improve reliability and incident response by building observability with Grafana, Prometheus and OpenTelemetry, and by owning SLOs, alerting, runbooks and on-call processes
Mentor and support junior and mid-level DevOps engineers, where relevant
Drive infrastructure as code, BCP and DR readiness, FinOps, security posture and AI infrastructure enablement across the platform
What you'll bring
4 to 6 years of experience in DevOps, SRE or Platform Engineering
Hands-on skill in Azure, Kubernetes, Docker and infrastructure as code with Terraform, Bicep or ARM templates
Hands-on skill in monitoring and observability, CI/CD platforms and scripting in Bash, Python, PowerShell or Go
A track record of leading incidents calmly and delivering lasting fixes rather than short-term patches
Solid grasp of networking fundamentals such as DNS, load balancing, SSL/TLS, firewalls and VPN
Working knowledge of AI and ML enablement, including LLM APIs and infrastructure for AI workloads
