Top DevOps & Platform Engineering Jobs in Lexington, KY

The Staff DevOps Engineer will design and operate infrastructure for development environments, implement quality gates, and build internal tools for observable pipelines, collaborating with teams to enhance automation and development processes.

The Senior Infrastructure Engineer will improve system reliability and efficiency, develop standards and tooling, and collaborate with engineering teams to optimize workflows and cloud infrastructure.

The role involves ensuring software reliability and performance, managing incidents, developing infrastructure automation, and mentoring junior engineers within a platform team.

Designs and architects large-scale VMware virtualization environments, implements and administers vCenter suite components and ESXi hosts, performs server consolidation and migrations (V2V/P2V), manages VM templates and right-sizing, supports Cisco UCS administration, Windows Server administration, troubleshooting, documentation, and cross-site technical coordination.

The Cloud Engineer I supports cloud adoption by deploying and managing infrastructure in Azure and AWS, utilizing Infrastructure as Code, and ensuring security and compliance in cloud environments.

Manage IT systems and staff, ensuring security and operational excellence. Oversee installations and maintenance, troubleshoot issues, and lead a technology team.

The Principal Cloud Engineer at NiSource will design and implement technical cloud solutions, collaborating with teams, and ensuring operational excellence on the Microsoft Azure platform.

The Senior Cloud Engineer will design, build, and maintain cloud services, focusing on SaaS applications, deployment artifacts, and automation pipelines, while ensuring scalable and secure cloud solutions.

As a Senior Deployment Engineer, you'll manage the deployment lifecycle of Atolio's enterprise search platform, ensuring smooth, secure, and effective client deployments while collaborating across teams and building automation tools.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.