Principal DevOps Engineer

. Define and drive the DevOps platform strategy across CI/CD, build systems, and release engineering .

Posted 9/30/2026full-timeHyderabad • IndiaLeadWebsite

Tools & technologies

AnsibleAWSAzureCloudDockerGoogle Cloud PlatformGradleJavaJenkinsKubernetesMavenPythonSDLCTerraformVault

Key responsibilities & impact

Define and drive the DevOps platform strategy across CI/CD, build systems, and release engineering
Architect scalable and resilient pipelines using TeamCity, Jenkins, or similar tools
Establish standards for pipeline design, modularity, and reusability
Design and implement end-to-end CI/CD pipelines for multiple product lines
Drive automation-first practices across build, test, and release workflows
Optimize build performance, reliability, and scalability
Integrate SAST, secrets management, and dependency scanning into pipelines
Define and enforce secure software delivery best practices
Ensure alignment with frameworks such as SAMM and SOC2
Lead infrastructure-as-code implementation using Terraform, Kubernetes, and Ansible
Manage and optimize AWS, Azure, or GCP cloud environments
Improve developer experience by reducing build times and simplifying workflows
Introduce self-service capabilities for engineering teams
Drive adoption of modern tooling and best practices
Implement monitoring, logging, and alerting for CI/CD systems
Ensure high availability and performance of DevOps platforms
Act as a technical leader and mentor for DevOps and engineering teams
Collaborate with architects and senior engineers on platform decisions
Influence cross-team adoption of standards and best practices

What you’ll need

Bachelor’s or Master’s degree in Computer Science or related field
8+ years of experience in DevOps, Build Engineering, or Platform Engineering
Deep expertise in CI/CD tools such as TeamCity, Jenkins, and GitHub Actions
Experience with build systems including Gradle, Maven, and Ant
Strong experience with cloud platforms: AWS, Azure, or GCP
Experience with containerization using Docker and Kubernetes
Proficiency in Python, Bash, PowerShell, or Java
Knowledge of secrets management tools such as Akeyless and Vault
Knowledge of artifact repositories such as Artifactory and Nexus
Familiarity with security tools such as Veracode, Polaris, BlackDuck, and SonarQube
Experience in large-scale enterprise environments
Experience with multi-product CI/CD ecosystems
Applied prompt engineering to effectively leverage AI across the SDLC

Comp & perks