Top DevOps & Platform Engineering Jobs in Lexington, KY

Design and build Seeq’s internal platform, including infrastructure, services, multi-tenant Kubernetes clusters, system interfaces, and secure deployment capabilities. Improve scalability, reliability, software delivery, and infrastructure cost and performance. Lead migrations, integrate security practices, architect distributed systems, collaborate cross-functionally, and mentor engineers while remaining hands-on at Staff or Principal scope.

Owns enterprise VDI platforms across Citrix, Azure Virtual Desktop, and Omnissa Horizon. Responsibilities include image and catalog lifecycle management, profile and session troubleshooting, access-layer administration, incident leadership, capacity planning, automation, root cause analysis, change management, project delivery, client communication, and mentoring. The role requires deep expertise in at least one VDI platform, Windows administration, underlying compute and networking, scripting, APIs, and multi-client managed services experience.

Build and operate scalable cloud, data, and AI infrastructure across AWS, GCP, and Azure. Develop Infrastructure as Code, CI/CD pipelines, self-service platforms, and secure containerized environments. Establish observability, monitoring, alerting, governance, compliance, and operational support practices. Drive platform architecture and technical standards, collaborate across teams, evaluate new technologies, document solutions, and mentor engineers. The role is fully remote with up to 10% travel.

Design, implement, and operate infrastructure for high-scale production systems serving millions of users. Own reliability, observability, incident response, deployments, capacity planning, cost management, and operational excellence across bare-metal and cloud environments. Develop automation and performance tooling, improve production readiness, manage vendors, lead incident reviews, and mentor engineers on reliability and distributed-systems practices.

Own BAMKO’s AWS and Cloudflare infrastructure end to end, improving availability, scalability, resilience, automation, monitoring, disaster recovery, and cost efficiency. Manage infrastructure as code, databases, production upgrades, backups, and the AWS Well-Architected improvement roadmap. Serve as the primary on-call resource for infrastructure incidents and lead post-incident reviews.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Build and operate on-premises infrastructure for containerized AI/ML services. Responsibilities include Kubernetes orchestration, infrastructure automation, CI/CD and GitOps pipelines, observability with Prometheus and Grafana, resilient high-availability infrastructure, and collaboration with mission stakeholders, data scientists, and system administrators. The role supports reliable delivery of mission-critical AI capabilities and may involve model-serving technologies, service meshes, SIGINT systems, and CNO operations.

Scale and improve the reliability, performance, and scalability of Fleetio’s Ruby on Rails application and infrastructure. Responsibilities include observability, incident response, AI-powered automation, database capacity planning, disaster recovery, backups, documentation, performance analysis, code review, and on-call participation. The role collaborates with engineering teams to address bottlenecks and adopt AI-driven reliability practices.

Leads strategy, architecture, deployment, security, and support for operational technology infrastructure across manufacturing facilities. Manages industrial networks, plant-floor connectivity, smart manufacturing systems, PLC, HMI, SCADA, MES, IIoT, and edge platforms. Partners with IT, engineering, maintenance, automation, and cybersecurity teams to maintain secure, reliable production operations. Responsibilities include infrastructure roadmaps, projects, budgets, vendors, staff leadership, monitoring, incident response, vulnerability remediation, disaster recovery, and asset lifecycle management.

Manage the full deployment lifecycle for retail locations, coordinating installation, network setup, configurations, and troubleshooting, while building automation and ensuring quality.