Top DevOps & Platform Engineering Jobs in Lexington, KY

Leads DevOps and Data Engineering teams supporting AWS infrastructure, CI/CD, observability, incident response, data platforms, and pipelines. Sets platform strategy, mentors engineers, guides architecture, and manages technical roadmaps. Owns SOC 2 audits and penetration testing, coordinates vendors and auditors, improves security and reliability, and coaches teams on validating AI-assisted development. This player-coach role requires hands-on technical contribution and cross-functional collaboration in a remote environment.

Manage and optimize a multi-account AWS environment supporting production healthcare applications and analytics platforms. Responsibilities include AWS infrastructure administration, CI/CD and infrastructure automation, observability, incident response, on-call support, disaster recovery validation, HIPAA/HiTrust compliance, IAM and security controls, and support for containerized Java and Python applications. The role also contributes to Kubernetes and EKS modernization initiatives and partners with developers to resolve complex production issues.

Implement and support AWS cloud infrastructure, platform services, and Infrastructure as Code with Terraform. Build CI/CD pipelines using GitHub Actions, administer AWS services including EKS, Lambda, S3, IAM, CloudWatch, and VPC, and automate provisioning, monitoring, and maintenance. Troubleshoot incidents, optimize performance, monitor platform health, collaborate on secure scalable solutions, and maintain technical documentation. The role is fully remote, requires U.S. citizenship, and may involve periodic travel and after-hours mission-critical support.

Maintain and improve build and release processes across mobile, console, and PC platforms. Develop automation tools, support continuous integration, manage branches and environments, coordinate releases with Production and Live-Ops teams, enable automated testing, and document build pipelines. The role requires Perforce, scripting, build systems, CI, C++, and strong collaboration skills.

Build and operate multicloud Kubernetes infrastructure and platform capabilities, including cloud foundations, networking, identity, cluster lifecycle, disconnected deployments, packaging, GitOps delivery, infrastructure as code, observability, upgrades, and incident response. Partner with engineering teams to provide reusable self-service infrastructure primitives across commercial, government, secure, classified, and disconnected environments.

Build and operate internal developer platforms, shared services, cloud infrastructure, delivery pipelines, and golden paths. Own reliability, security, observability, incident response, and cost optimization for production services. Shape platform architecture and engineering standards, advance AI-assisted software delivery, and mentor engineers across operating companies. The role is a hands-on principal individual contributor responsible for taking major platform capabilities from design through ongoing operation.

Designs and maintains automation scripts for network provisioning, application deployment, CI/CD integration, regression testing, and server monitoring. Deploys applications to WebLogic and JBoss, supports development-to-production transitions, and builds proactive alerting for server and application health using Python, Bash, and shell scripting.

Leads the development and lifecycle management of a secure, multi-tenant as-a-Service automation platform using ServiceNow. Defines requirements, guides development and configuration, integrates monitoring and incident-management tools, and automates ordering, billing, asset management, measurement, and reporting. Maintains platform security, patches, documentation, dashboards, and operational performance while leading demonstrations and advising customers and management.

Design, build, and operate core platform infrastructure for an Agentic AI platform. Collaborate with cross-functional and ML teams to enable scalable, high-performance systems, provide production support and troubleshooting, and drive platform features that serve multiple products and engineering teams.

Lead design and delivery of large-scale, cloud-native services powering millions of devices. Architect solutions for scalability and integration, own full service lifecycle in Kubernetes, mentor engineers, participate in on-call support, and drive engineering best practices across cross-functional teams.