Summary
✨ AI‑Generated
A senior DevOps engineering role responsible for designing and automating cloud infrastructure and continuous delivery systems. You will administer CI/CD platforms, implement policy-as-code governance, manage AWS environments with infrastructure-as-code tools, and strengthen DevSecOps practices. The role also offers the chance to develop intelligent AI-driven operational automation.
Highlights
Senior DevOps role covering cloud infrastructure, CI/CD platform administration, infrastructure as code, security governance, and automation. The position also provides an opportunity to lead emerging AI-driven DevOps automation initiatives, with broad visa eligibility.
Description
Role: Senior DevOps Engineer
Locations: Charlotte, NC; Plano, TX; Phoenix, AZ; Johnston, RI
Experience: Min.
12+ Years
NOTE: All Visas are fine for this position, Need a Genuine candidates.
Role Overview:
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 automation.
Candidates with experience or a strong desire to build AI-driven operational bots will have an opportunity to lead those initiatives.
Key Responsibilities:
• CI/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 Qualifications:
• 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.