Devops Engineer

Role Summary

We are seeking a DevOps position with experience in CI/CD, automation, Kubernetes, and platform engineering. The ideal candidate should have a strong automation mindset, hands-on technical expertise, and a passion for improving developer productivity, platform reliability, and operational efficiency through automation and AI-driven solutions.

Key Responsibilities:

CI/CD & Automation

• Design and maintain CI/CD pipelines using GitLab CI/CD, Jenkins, or GitHub Actions.
• Build reusable pipeline templates, automation frameworks, and Infrastructure-as-Code modules using Terraform/Terragrunt/Ansible.
• Automate releases, deployments, versioning, rollback, and environment provisioning.
• Troubleshoot pipeline, deployment, and platform issues across the delivery lifecycle.
• Develop automation using Python, PowerShell or Shell.
• Understanding of AWS services, roles, networking, security, Database, and cloud-native architectures, with experience integrating cloud resources into automated CI/CD workflows.

Kubernetes & Platform Engineering

• Automate deployments using Kubernetes, Helm, ArgoCD.
• Implement GitOps-based deployment practices.
• Automate configuration management, secrets management, namespace provisioning, and platform operations.
• Develop health checks, diagnostics, and self-healing automation.

Observability & DevSecOps

• Implement monitoring and alerting automation using Sumologic, Datadog, Prometheus, Grafana, or similar tools.
• Integrate SAST, DAST, container scanning, dependency scanning, and SBOM generation into CI/CD pipelines.
• Automate vulnerability management, secrets rotation, and compliance controls.

AI-Powered DevOps

• Leverage AI tools and AI-assisted engineering capabilities to improve development and operations workflows.
• Implement AI-driven solutions for incident analysis, log insights, deployment risk assessment, runbook generation, and automation recommendations.
• Utilize AI-powered developer productivity tools such as GitHub Copilot, Microsoft Copilot, Amazon Q, or similar solutions.
• Contribute to intelligent automation, and AI-enabled platform engineering initiatives.

Required Skills

Need Strong experience with:

• GitLab CI/CD or GitHub Actions

• Terraform/Terragrunt and Ansible

• Kubernetes, Helm, and ArgoCD

• Python, Bash, PowerShell, or Go

• Git and source control practices

• Leverage AI tools and AI-assisted engineering capabilities

• Good understanding of AWS services, and cloud-native architectures.

• Strong troubleshooting, problem-solving, and collaboration skills.

Nice to Have

• Experience building internal developer platforms or self-service automation solutions.
• Exposure to GitOps, Platform Engineering, and AI/Agentic AI frameworks.
• Cloud, Kubernetes, or DevOps certifications.

What Success Looks Like

• Increased deployment automation and reliability.
• Reduced manual effort through reusable automation and AI-driven solutions.
• Faster incident resolution and improved platform stability.
• Enhanced developer productivity and secure software delivery practices.