Top DevOps & Platform Engineering Jobs in Lexington, KY

Own the AWS infrastructure, deployment path, access model, and observability for a new data platform handling protected health information. Build declarative infrastructure with Terraform or CDK, implement GitOps and CI/CD, administer Kubernetes workloads, design least-privilege access, manage networking and databases, and automate operational processes including autoscaling and self-healing.

Lead and develop an SRE team responsible for the reliability, availability, performance, automation, and observability of Linux-based digital commerce infrastructure. Set SRE and DevOps strategy, modernize Kubernetes and CI/CD practices, establish automation and infrastructure-as-code standards, oversee incident response, and drive SLIs, SLOs, and error budgets. Partner across engineering, architecture, infrastructure, security, networking, and product teams while recruiting, mentoring, and developing SRE talent.

Designs, builds, and operates secure, scalable cloud infrastructure, deployment pipelines, and operational systems. Owns infrastructure architecture, provisioning, CI/CD, infrastructure-as-code, automation, observability, reliability, cost optimization, and incident response. Leads SRE practices, resolves complex production issues, supports distributed systems and microservices, and collaborates with Product and Engineering teams. Participates in on-call rotations and drives durable solutions that improve platform availability and performance.

Design, deploy, and maintain reliable production and corporate systems; manage configuration, security, and core infrastructure; participate in on-call incident response; build automation, CI/CD pipelines, and Infrastructure-as-Code; monitor systems and develop tools to improve reliability and availability.

Build and operate multi-cloud infrastructure for MariaDB Cloud, designing application layers, APIs, cloud-native services, automation, and database-adjacent features. Own production capabilities end to end across AWS, Azure, and GCP using Terraform, Kubernetes, Docker, CI/CD, Python, and backend languages. Develop AI-enabled workflows involving vector databases, semantic search, RAG, and LLM agents while ensuring security, observability, scalability, and reliable deployment.

Supports and administers Oracle EPM Cloud, Hyperion, and other FP&A applications, databases, reports, and integrations. Maintains system performance, data integrity, security, and availability; troubleshoots issues and supports users. Develops requirements, data mappings, documentation, test cases, and upgrade implementations. Partners with finance, technology teams, vendors, and stakeholders on projects involving planning, forecasting, reporting, cost allocation, automation, and innovative enterprise application technologies.

Designs and maintains DevSecOps infrastructure for AWS-hosted microservices and APIs. Builds CI/CD pipelines, containerized deployments, and Infrastructure as Code using Terraform, CDK, or CloudFormation. Develops monitoring, logging, and performance tools; supports security reviews, vulnerability management, and resilient systems. Requires strong AWS, EKS/Kubernetes, networking, scripting, programming, troubleshooting, Agile collaboration, and SRE skills.

Leads full-stack and infrastructure engineering teams responsible for simulation platform architecture, cloud infrastructure, container orchestration, databases, APIs, frontend tools, reliability, observability, and cost efficiency. Owns the strategic roadmap for scenario management, run orchestration, taxonomy, and results analytics. Recruits and mentors engineers, partners with simulation teams, manages integration interfaces, and delivers scalable infrastructure for massive parallel batch simulations.

Build and maintain scalable infrastructure platforms supporting domestic and international workloads. Develop CI/CD, declarative lifecycle management, Kubernetes clusters, monitoring, and automation systems. Troubleshoot infrastructure issues, respond to alerts, minimize downtime, streamline delivery pipelines and database changes, and help guide SRE team direction. Collaborate with engineers, data scientists, and technology professionals while promoting a high-performance, cross-functional culture.

Develop and maintain infrastructure for rapid software prototyping and deployment across cloud, private cloud, and bare-metal environments. Manage servers and Kubernetes clusters, configure GPU systems for large language models, optimize performance, build monitoring and alerting, and advise on localized data-center deployments. The role also requires software engineering, Linux administration, security awareness, automation, and collaboration across international teams.