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Litmus7 is seeking a hands-on DevOps Engineer with Azure, automation, and observability expertise to join our team in India. You will own CI/CD pipelines, automate infrastructure, and manage Azure services, containers, and monitoring tools such as Splunk and Dynatrace.
Collaboration with development and security teams to ensure production readiness is essential. Responsibilities include building scalable pipelines, IaC with Terraform/Bicep, AKS management, and integrating monitoring into CI/CD.
DevOps Engineer – Azure, Automation, Splunk & Dynatrace
We are seeking a hands-on DevOps Engineer with strong experience in CI/CD, Azure infrastructure, automation, and containerized environments, complemented by administrative knowledge of Splunk and Dynatrace.
The role will focus on automating deployments, infrastructure, and observability setup — ensuring applications and services can be quickly onboarded, validated, and ready for production monitoring.
5+ years of hands-on DevOps or platform engineering experience, including CI/CD ownership, infrastructure automation, and production troubleshooting.
Strong experience with Jenkins, GitHub Actions, Azure DevOps, or equivalent tools, along with Git-based workflows.
Hands-on expertise in Microsoft Azure, Infrastructure as Code, Docker, Kubernetes/AKS, and Linux.
Strong scripting skills in Python, PowerShell, or Bash, including API-based automation and tool integration.
Working administrative knowledge of both Splunk and Dynatrace, including access management, forwarder/agent configuration, data onboarding, platform health, and troubleshooting.
Ability to automate monitoring setup, streamline application onboarding, and validate production-monitoring readiness.
Understanding of SRE fundamentals, with strong analytical, communication, and cross-functional collaboration skills.
Experience supporting retail/e-commerce platforms, microservices, and distributed systems. Familiarity with Helm, GitOps/Argo CD, Prometheus, and Grafana.
Certifications in Azure, Kubernetes, Terraform, Splunk, or Dynatrace are good to have, but not mandatory.
Reduced time to onboard applications into production monitoring; increased automation and self-service adoption; validated monitoring coverage before go-live; fewer manual configuration errors; and improved deployment reliability and incident resolution time.