> Markdown version of [/jobs/ext/2120428-devops-engineer](https://www.wearedevelopers.com/jobs/ext/2120428-devops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Engineer - **Company:** SYSTEMATIX, INC. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Data as a Services, DevOps, Github, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Release Management, Azure Machine Learning, Software Deployment, Software Engineering, Scripting, Delivery Pipeline, Software Troubleshooting, Git, Build Management, Containerization, Kubernetes, Deployment Automation, Machine Learning Operations, Software Version Control, Docker - **Published:** August 19, 2026 - **Apply:** https://systematix.com/opportunity/senior-devops-engineer/ ## About the Role * Extensive senior-level DevOps engineering experience within complex enterprise environments. * Strong hands-on experience with Microsoft Azure. * Demonstrated expertise with Infrastructure as Code and automated cloud provisioning. * Strong experience designing, building and maintaining enterprise CI/CD pipelines. * Hands-on experience with GitHub, GitHub Actions or comparable Git-based CI/CD technologies. * Strong experience with Docker, Kubernetes and containerized workloads. * Advanced scripting and automation capabilities. * Strong understanding of modern SDLC, source control, release management and deployment practices. * Experience developing reusable automation, engineering templates, deployment patterns and tooling. * Experience integrating infrastructure automation with application development and deployment workflows. * Demonstrated experience transforming relatively manual or immature engineering environments into automated, repeatable and code-driven platforms. * Strong troubleshooting and problem-solving capabilities. * Ability to operate effectively as both a senior technical advisor and hands-on engineer. * Strong communication and collaboration skills with the ability to work across DevOps, Platform Engineering, MLOps, cloud, security, data and application engineering teams., * Experience supporting infrastructure and deployment processes for AI and machine learning workloads. * Experience with Azure Machine Learning and related Azure AI/data services. * Experience working with MLOps engineering practices and machine learning deployment pipelines. * Experience supporting GPU or accelerated computing environments. * Strong Python development or scripting experience. * Experience with Platform Engineering and internal developer platforms. * Experience creating self-service engineering and deployment capabilities. * Experience working within large, global or federated enterprise environments. * Experience helping establish DevOps capabilities, standards and practices within an immature or evolving engineering environment., Know someone who would be a great fit? We welcome referrals of qualified candidates and are always interested in connecting with talented technology professionals. ## Description Our client is a global leader in science and technology, supporting a diverse portfolio of businesses across healthcare, life sciences, diagnostics, manufacturing and industrial innovation. As investment in AI, machine learning and advanced data capabilities continues to accelerate, the organization is modernizing the engineering practices and automation required to support these workloads at enterprise scale. The primary objective is to eliminate manual infrastructure, build and deployment processes and replace them with automated, repeatable and reliable engineering pipelines. Working closely with Platform Engineering, MLOps and other technical teams, the successful candidate will help establish modern DevOps patterns and standards while remaining highly hands-on in their implementation., * Design, build and maintain CI/CD pipelines supporting cloud infrastructure, applications and AI/ML workloads. * Implement Infrastructure as Code and automated Azure cloud provisioning. * Create standardized and repeatable Development, UAT and Production deployment patterns. * Automate application and infrastructure testing, validation, deployment and release processes. * Develop reusable engineering tooling, templates and automation components. * Integrate infrastructure and deployment automation with GitHub-based development workflows. * Design and implement GitHub Actions or equivalent CI/CD workflows. * Support containerized applications and workloads using Docker and Kubernetes. * Partner with Platform Engineering teams to automate Azure infrastructure provisioning and deployment. * Partner with MLOps engineers to automate machine learning lifecycle, deployment and operational processes. * Build self-service capabilities that enable development, data science and machine learning teams to deploy and consume technology with minimal manual intervention. * Identify manual engineering processes and replace them with scalable, code-driven automation. * Improve deployment speed, consistency, repeatability, reliability and overall developer experience. * Implement appropriate security, governance and operational controls within automated engineering processes. * Help establish modern SDLC, DevOps, source control, deployment and engineering standards. * Provide technical leadership and recommendations while remaining directly involved in engineering, coding, configuration and implementation., This is a contract opportunity supporting a strategic enterprise AI, Data and Cloud engineering initiative.This is a senior, highly hands-on engineering role. The successful candidate will help define DevOps architecture, standards and engineering patterns while personally building and implementing the pipelines, automation and tooling required to put those standards into practice. We are looking for an engineer who naturally approaches manual infrastructure and deployment processes as opportunities for automation and who is equally comfortable defining the solution and sitting down to build it. AI DISCLOSURE As part of our recruitment process, Systematix may use artificial intelligence (AI) tools to assist with resume screening, candidate matching and recruitment administration. All hiring decisions are ultimately made by our recruitment and hiring teams. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure](https://www.wearedevelopers.com/videos/1539-agentic-devops-how-ai-powered-automation-transforms-software-delivery-on-github-and-azure) - [My journey into DevOps world - How it all started!](https://www.wearedevelopers.com/videos/545-my-journey-into-devops-world-how-it-all-started) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)