Staff DevOps Engineer

Overview

Staff DevOps Engineer

Job Description:
EICis seeking a talented Staff DevOps Engineer with 5 years of experience to lead the design, implementation, andmanagement of CI/CD pipelines andcloud infrastructure. The ideal candidate will have a strong background in scripting/coding, hands-on experience with Linux-based systems, and a proven track record with Harness, Git, and Kubernetes.

This Position is only forPST day time support means, IST night shift from 10pm to 7am IST.

Key Responsibilities

• Design, implement, and maintain robust CI/CD pipelinesto automate build, test, and deploymentprocesses across multiple business units.
• Develop and manage Harness CI/CD pipelines,ensuring efficient andreliable software delivery.
• Build, deploy, and manage Kubernetesclusters through automation andInfrastructure as Code (IaC) usingtools such as Terraform, Ansible,AWS CloudFormation, or similar.
• Automate production deployments and managedeployment workflows for highavailability and scalability.
• Drive process and quality improvements by identifyingopportunities for automation andimplementing best practices.
• Collaborate effectively with onsite and offshore teams, fostering a culture of knowledge sharing and continuous improvement.
• Troubleshoot and resolve complex issuesduring crisis situations withstrong debugging and analytical skills.
• Stay current withemerging DevOps toolsand technologies, proactively learning and applying new solutions.
• Champion AI-powered developer tooling across the engineering organization, including AI coding assistants (e.g., Cursor, GitHub Copilot), automated code review, and AI-driven CI/CD optimization.
• Design and operate agentic AI workflows that automate complex, multi-step DevOps tasks using MCP (Model Context Protocol) integrations, LLM-powered agents, and orchestration frameworks.
• Govern AI tool adoption by establishing security, privacy, and compliance guardrails for AI integrations, ensuring responsible use aligned with corporate policies.

Preferred Qualifications

• 5years of hands-onexperience in DevOps, SRE, or related roles.
• Expertise in CI/CD tools, especially Harness, andversion control systems like Git.
• Strong experience withKubernetes and container orchestration.
• Proficiency in scriptinglanguages (e.g., Bash, Python, or similar).
• Solid understanding ofLinux-based systems andcloud platforms (AWS, GCP, or Azure).
• Experience withInfrastructure as Code (Terraform, Ansible, AWS CloudFormation, etc.).
• Familiaritywith monitoring, logging,and alerting tools.
• Excellent communication skills and the ability to work independently with minimal supervision.
• Experience working with distributed teams is a plus.
• Hands-on experience with AI coding assistants and developer tools (e.g., Cursor, GitHub Copilot, Claude) in a production engineering environment.
• Familiarity with agentic AI concepts and frameworks (e.g., MCP, LangChain, AutoGen, or similar), including experience building or integrating AI agents into DevOps or engineering workflows.
• Experience with AI-powered code review, test generation, or security scanning tools (e.g., CodeRabbit, GitHub Advanced Security, Qwiet AI, or similar).
• Understanding of AI governance, prompt engineering best practices, and responsible AI usage policies in an enterprise context.

IN-GJ-Ahmedabad, India-Ognaj (eInfochips)

Time Type:
Full time

Job Category:
Engineering Services