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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Devops Engineer - **Company:** GLUZDOV.COM, INC. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Performance Management, Authentication Protocols, Build Automation, Bash Shell, Cloud Computing, Continuous Integration, DevOps, Python (Programming Language), Networking Basics, OAuth, Security Assertion Markup Language (SAML), Workflow Management Systems, Openapi, AI Infrastructure, System Availability, Delivery Pipeline, Large Language Models, Kubernetes Helm Charts, Reliability of Systems, AWS ECS, Containerization, Kubernetes, Infrastructure Automation Frameworks, Nintex, Graphql, Virtual Agents, Terraform - **Published:** July 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=edea05552a5abd78 ## About the Role * 3+ years of professional experience in DevOps or CloudOps roles. * Proven experience deploying and managing infrastructure for LLM architectures, AI agent frameworks, or AI-facing applications. * Hands-on production experience with cloud infrastructure, Terraform, and workflow orchestration engines such as n8n or Temporal. * Proficiency in Python and Bash scripting for infrastructure automation. * Strong understanding of containerisation technologies, including ECS, along with networking fundamentals. Nice to Have * Direct experience with EKS, Helm charts, and cluster autoscaling mechanisms. * Familiarity with GraphQL APIs, OpenAPI standards, and authentication protocols including OAuth and SAML. ## Description We are seeking a DevOps Engineer to lead the scaling, optimisation, and management of our cloud infrastructure in support of advanced AI frameworks and complex workflow automation platforms. In this role, you will manage robust containerised systems and drive our architectural evolution across container orchestration platforms, ensuring high availability and reliable performance for production AI workloads. You will collaborate closely with cross-functional teams to build automation-first solutions that align with our engineering standards., * Manage, optimise, and scale cloud infrastructure on AWS using infrastructure-as-code methodologies. * Automate complex operational tasks through scripting to minimise manual overhead and enhance system reliability. * Implement and refine robust CI/CD pipelines to accelerate the delivery of AI-facing applications and services. Workflow and orchestration platforms * Support and optimise enterprise workflow automation and orchestration platforms. * Design, deploy, and maintain secure containerised environments across AWS ECS and EKS to dynamically match application demands. Reliability and performance * Monitor system health, application performance, and concurrency metrics to guarantee high availability during peak traffic periods. * Identify risks in infrastructure and workflow reliability early, and act before they escalate., * Competitive hourly compensation and high operational autonomy. * Clear growth opportunities within cutting-edge AI infrastructure projects. * Remote-first working environment with flexible scheduling. * A company culture built on transparency, continuous learning, and absolute ownership. Why This Is Worth Your Time You will have real ownership over how our infrastructure is architected and how it evolves - from cloud foundations to the orchestration platforms that power AI-facing and automation-heavy workloads. Your decisions on IaC, CI/CD, and container orchestration will directly shape how reliably our systems run in production. The current focus includes AI infrastructure and workflow automation, and the scope will keep growing as we take on new projects. It is a place for someone who wants high autonomy, variety in what they build and operate, and the chance to keep deepening their expertise across modern cloud and infrastructure practices. ## Related Videos - [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) - [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) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)