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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead DevOps Engineer - **Company:** Kforce Inc. - **Location:** West Valley City, UT, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Bash Shell, Cloud Computing, Cloud Engineering, Databases, DevOps, Distributed Systems, Identity and Access Management, Python (Programming Language), Linux System Administration, Routing, Reliability Engineering, Service Discovery, AI Infrastructure, AWS Cdk, Load Balancing, Large Language Models, Multi-Agent Systems, Amazon Virtual Private Cloud (VPC), Containerization, AI Platforms, Kubernetes, Terraform - **Published:** August 19, 2026 - **Apply:** https://www.dice.com/job-detail/aa47d0a4-88fa-40b8-b8c9-cd640e8debe3 ## About the Role * 8+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or Cloud Infrastructure roles * Extensive hands-on experience managing Kubernetes environments at enterprise scale * Proven experience designing and maintaining CI/CD pipelines and GitOps-based deployment models * Advanced experience implementing Infrastructure as Code using tools such as Terraform, AWS CDK, or equivalent frameworks * Experience implementing and managing observability, monitoring, and logging solutions in large enterprise environments * Experience building secure and reliable AI infrastructure and supporting production AI workloads * Strong scripting and automation expertise using Python, Bash, or similar languages * Demonstrated expertise in cloud-native architecture, scalability, resiliency, and operational best practices * Expertise in AWS networking, including VPC design, routing, load balancing, security controls, and connectivity services * Deep knowledge of AWS services including compute, networking, storage, identity management, databases, and container platforms * Strong understanding of enterprise security principles, compliance frameworks, and audit requirements * Strong Linux administration and troubleshooting skills * Ability to mentor engineers, influence technical direction, and foster engineering excellence across teams, * Experience deploying and supporting generative AI platforms, large language models, and AI-powered applications in production environments * Experience with service discovery, platform networking, and distributed systems architecture * Prior experience leading cloud, platform, DevOps, or AI infrastructure teams * Familiarity with AWS AI services, including Bedrock and related AI orchestration technologies * Strong background in designing highly available, mission-critical platforms supporting enterprise-scale workloads ## Description Kforce has a client that is seeking a Lead DevOps Engineer in West Valley City, UT., We are seeking a seasoned cloud and platform engineering leader to drive the design, implementation, and evolution of enterprise-scale cloud and AI infrastructure. This role will be responsible for establishing architectural direction, defining platform standards, and enabling scalable, secure, and efficient deployment of modern AI and cloud-native solutions across AWS and hybrid environments., * Define and communicate cloud infrastructure and AI platform strategies to technical teams, business leaders, and executive stakeholders * Provide technical leadership for platform engineering initiatives, guiding teams on architecture, best practices, and operational excellence * Partner with enterprise architecture and engineering teams to design and validate cloud-native solutions supporting both traditional and AI-driven workloads * Establish standards for AI platform operations, including model lifecycle management, inference performance, resiliency, governance, and cost optimization * Administer and optimize large-scale Kubernetes environments, including multi-cluster operations and workload orchestration * Develop observability frameworks that provide insights into platform health, reliability, performance, and operational efficiency * Drive automation initiatives that improve deployment speed, platform consistency, and infrastructure scalability * Promote Infrastructure as Code and GitOps methodologies across engineering teams ## Related Videos - [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) - [Creating a routing app with Google Maps API from scratch](https://www.wearedevelopers.com/videos/831-creating-a-routing-app-with-google-maps-api-from-scratch) - [Building Reliable Serverless Applications with AWS CDK and Testing](https://www.wearedevelopers.com/videos/812-building-reliable-serverless-applications-with-aws-cdk-and-testing) - [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) - [A Technical Introduction to Bitcoin's 2nd Layer- The Lightning Network](https://www.wearedevelopers.com/videos/15-a-technical-introduction-to-bitcoin-s-2nd-layer-the-lightning-network) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Got AI ideas but no money? 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