SRE Tools Engineer

Litmus7 Systems Consulting Ltd.; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Litmus7 Systems Consulting Ltd. is seeking a hands-on DevOps Engineer with strong CI/CD, Azure infrastructure, automation, and containerized environments.

You will automate deployments, infrastructure, and observability setup to onboard apps quickly and validate production monitoring readiness. The role requires expertise in Jenkins, GitHub Actions, Azure DevOps, Terraform, Docker, Kubernetes, and scripting in Python/PowerShell/Bash, with Splunk and Dynatrace administration experience to ensure

Qualifications

• 5+ years 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.

Responsibilities

• Design and maintain pipelines using Jenkins, GitHub Actions, Azure DevOps, or equivalent tools.
• Automate builds, testing, deployments, and post-deployment validation with approvals and rollback controls.
• Provision and manage Azure services (AKS, App Services, Functions) using IaC tools like Terraform or Bicep.
• Build and maintain Docker images and Kubernetes deployment configurations; manage AKS workloads.
• Develop reusable scripts to automate deployment, configuration, and security checks; integrate monitoring into CI/CD.
• Automate platform setup, agent deployment, and onboarding to accelerate production readiness for monitoring.

Skills

CI/CD ownership

SRE fundamentals

Automation scripting

Collaboration

Cloud experience

Tools

Jenkins

GitHub Actions

Azure DevOps

Terraform

Bicep

Docker

Kubernetes

AKS

Helm

Argo CD

Prometheus

Grafana

Job description

Role Overview

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.

Key Responsibilities

• CI/CD & Release Automation
  Design and maintain pipelines using Jenkins, GitHub Actions, Azure DevOps, or equivalent tools. Automate builds, testing, deployments, and post-deployment validation, incorporating approval controls, rollback mechanisms, and secure release practices.
• Azure Infrastructure & Infrastructure as Code
  Provision and manage Azure services, including AKS, App Services, Azure Functions, networking, and storage. Use Terraform, Bicep, or equivalent tools to automate provisioning, standardize configurations, and improve scalability and cost efficiency.
• Containerization & Kubernetes
  Build and maintain Docker images and Kubernetes deployment configurations. Manage AKS workloads, scaling, resource allocation, and health checks; troubleshoot container, connectivity, and deployment issues.
• Automation & Security
  Develop reusable scripts using Python, PowerShell, or Bash to reduce manual effort across infrastructure, deployments, and operational workflows. Automate configuration management and integrate security scanning, secrets management, and access controls into delivery processes.
• Splunk & Dynatrace Administration, Automation & Production Readiness
  Automate platform setup, agent/forwarder deployment, configuration, and application onboarding to accelerate production‑monitoring readiness. Support access management, platform health, and troubleshooting. Integrate reusable automation and readiness checks into CI/CD pipelines to validate log ingestion, telemetry collection, and monitoring coverage before go‑live.
• SRE & Production Reliability
  Apply SRE principles, including SLIs, SLOs, error budgets, incident management, and post‑incident reviews. Partner with SRE L2/L3 teams to resolve production issues, reduce MTTR, and automate recurring operational and recovery activities.
• Collaboration & Enablement
  Provide reusable automation templates, operational runbooks, and engineering standards. Enable self‑service provisioning and monitoring onboarding, integrate workflows with ServiceNow or Jira, and guide teams on deployment and operational readiness.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Success Measures

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.