Sr. DevOps Engineer

Job Title: Platform/DevOps EngineerLocation: Pano,TX USRole OverviewWe are looking for a Senior DevOps Engineer to design, automate, and maintain our cloud infrastructure and continuous delivery pipelines. In this role, you will lead the administration of our Harness CI/CD, RO (Release Orchestration) platform, strengthen the platform using policy-as-code using Open Policy Agent (OPA), and manage AWS cloud environments using Terraform and Ansible.Additionally, we are exploring Agentic AI to build intelligent DevOps automatio - candidates with experience or a strong desire to build AI-driven operational bots will have an opportunity to lead those initiatives.Key ResponsibilitiesCI/CD Platform Administration: Manage and optimize deployment pipelines and workflows using Harness CI/CD, Jenkins, GitHub Actions.Policy & Governance: Implement policy-as-code and compliance guardrails across pipelines using Open Policy Agent (OPA) and Harness Admin controls.Infrastructure & Configuration Management: Provision cloud environments on AWS using Terraform and automate server configurations with Ansible.Container Orchestration: Deploy, manage, and scale microservices on K8s clusters.Automation & Scripting: Write clean, maintainable scripts using Python and Bash to automate operational tasks.Version Control: Standardize branching strategies, pull request workflows, and repository management using Git.AI Bot Development (Opportunity): Collaborate on integrating tool-using AI agents into pipeline diagnostics, automated incident response, and Slack/ChatOps workflows.Required QualificationsMinimum 8+ years of experience in DevOps, DevSecOps, Platform Engineering, Site Reliability Engineering (SRE), Cloud Engineering, or related IT disciplines.Proven experience owning the end-to-end software delivery lifecycle, including build, test, release, deployment, rollback, monitoring, and production support.Demonstrated ability to manage enterprise-scale deployment platforms supporting multiple applications and development teams.Strong troubleshooting and root-cause analysis skills in complex distributed environments.Harness Platform ExpertiseMinimum 2+ years of hands-on Harness Administration experience.Experience creating and maintaining Harness templates, connectors, secrets, environments, service definitions, and deployment workflows.Strong understanding of Harness governance, RBAC, policies, approvals, and platform administration capabilities.Experience supporting large-scale CI/CD implementations using Harness.CI/CD & Release ManagementExtensive experience designing and operating CI/CD pipelines using Harness, Jenkins, and GitHub Actions.Strong understanding of build automation, deployment automation, release orchestration, and environment promotion strategies.Experience implementing reusable pipeline architectures and deployment best practices.Governance & SecurityHands-on experience implementing Open Policy Agent (OPA) and policy-as-code frameworks.Knowledge of CI/CD governance, security controls, compliance enforcement, and audit readiness.Experience integrating security controls into software delivery pipelines.Cloud & Container PlatformsStrong working experience with AWS services and cloud-native architecture principles.Hands-on expertise with EKS, OpenShift, Kubernetes, and container ecosystem technologies.Experience managing production-scale cloud environments and containerized applications.Infrastructure as Code & Configuration ManagementAdvanced Terraform expertise including module development, remote state management, and infrastructure lifecycle management.Strong Ansible experience for automation, orchestration, and system configuration management.Proven ability to build scalable and reusable infrastructure automation solutions.Programming & AutomationStrong proficiency in Python with demonstrated experience developing automation frameworks, platform tools, and operational utilities.Strong Bash scripting expertise for Linux-based automation and administration tasks.Experience integrating REST APIs and platform services to automate complex workflows.Source ControlDeep understanding of Git workflows, branching strategies, repository governance, code review processes, and GitOps practices.Desired / Bonus Qualifications (Agentic AI)Experience or strong interest in Agentic AIFamiliarity with LLM function/tool calling (OpenAI / Anthropic APIs, Model Context Protocol) to trigger DevOps tools programmatically.Understanding of how to build guardrails, human-in-the-loop approvals, and automated troubleshooting bots for operational workflows.The pay range for this role is $130000- $140000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate. “Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com.” The pay range for this role is $130000- $140000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate. “Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com.”

We are looking for a Senior DevOps Engineer to design, automate, and maintain our cloud infrastructure and continuous delivery pipelines. In this role, you will lead the administration of our Harness CI/CD, RO (Release Orchestration) platform, strengthen the platform using policy-as-code using Open Policy Agent (OPA), and manage AWS cloud environments using Terraform and Ansible.

Additionally, we are exploring Agentic AI to build intelligent DevOps automatio - candidates with experience or a strong desire to build AI-driven operational bots will have an opportunity to lead those initiatives., * Minimum 8+ years of experience in DevOps, DevSecOps, Platform Engineering, Site Reliability Engineering (SRE), Cloud Engineering, or related IT disciplines.

• Proven experience owning the end-to-end software delivery lifecycle, including build, test, release, deployment, rollback, monitoring, and production support.
• Demonstrated ability to manage enterprise-scale deployment platforms supporting multiple applications and development teams.
• Strong troubleshooting and root-cause analysis skills in complex distributed environments.

Harness Platform Expertise

• Minimum 2+ years of hands-on Harness Administration experience.
• Experience creating and maintaining Harness templates, connectors, secrets, environments, service definitions, and deployment workflows.
• Strong understanding of Harness governance, RBAC, policies, approvals, and platform administration capabilities.
• Experience supporting large-scale CI/CD implementations using Harness.

CI/CD & Release Management

• Extensive experience designing and operating CI/CD pipelines using Harness, Jenkins, and GitHub Actions.
• Strong understanding of build automation, deployment automation, release orchestration, and environment promotion strategies.
• Experience implementing reusable pipeline architectures and deployment best practices.

Governance & Security

• Hands-on experience implementing Open Policy Agent (OPA) and policy-as-code frameworks.
• Knowledge of CI/CD governance, security controls, compliance enforcement, and audit readiness.
• Experience integrating security controls into software delivery pipelines.

Cloud & Container Platforms

• Strong working experience with AWS services and cloud-native architecture principles.
• Hands-on expertise with EKS, OpenShift, Kubernetes, and container ecosystem technologies.
• Experience managing production-scale cloud environments and containerized applications.

Infrastructure as Code & Configuration Management

• Advanced Terraform expertise including module development, remote state management, and infrastructure lifecycle management.
• Strong Ansible experience for automation, orchestration, and system configuration management.
• Proven ability to build scalable and reusable infrastructure automation solutions.

Programming & Automation

• Strong proficiency in Python with demonstrated experience developing automation frameworks, platform tools, and operational utilities.
• Strong Bash scripting expertise for Linux-based automation and administration tasks.
• Experience integrating REST APIs and platform services to automate complex workflows.

Source Control

• Deep understanding of Git workflows, branching strategies, repository governance, code review processes, and GitOps practices.

Desired / Bonus Qualifications (Agentic AI)

• Experience or strong interest in Agentic AI
• Familiarity with LLM function/tool calling (OpenAI / Anthropic APIs, Model Context Protocol) to trigger DevOps tools programmatically.
• Understanding of how to build guardrails, human-in-the-loop approvals, and automated troubleshooting bots for operational workflows.

The pay range for this role is $130000- $140000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.