Top DevOps & Platform Engineering Jobs in Lexington, KY

Leads the design, implementation, and optimization of enterprise infrastructure, cloud services, identity, endpoint management, and monitoring systems. Drives automation, security hardening, incident response, root-cause analysis, migrations, disaster recovery, and operational improvements. Mentors junior administrators, maintains technical documentation, manages vendor escalations, and supports cross-functional technology initiatives. Requires strong infrastructure, cloud, security, troubleshooting, scripting, observability, and IT service management expertise.

Design, automate, secure, and operate multi-cloud platform environments across Azure and AWS. Build infrastructure as code, CI/CD pipelines, containerized services, observability, security controls, and enterprise data-platform integrations. Troubleshoot incidents, improve resiliency and performance, support governance and analytics services, document architecture and procedures, and provide technical leadership while collaborating with engineering, cybersecurity, data, architecture, and government stakeholders.

Own and evolve the platform supporting product engineering teams, including reliability, observability, test infrastructure, developer experience, infrastructure strategy, cost management, compliance controls, and platform on-call. Lead AWS, EKS, Terraform, CI/CD, and multi-account platform improvements while defining the roadmap and partnering with engineering teams and infrastructure vendors.

Lead the architecture, development, and operation of cloud infrastructure for an AI-native legal platform. Own CI/CD, developer tooling, Kubernetes and containerized workloads, AI infrastructure, observability, security, compliance, reliability, scalability, and cost optimization. Partner with engineering and product teams, establish infrastructure standards, and hire and mentor future infrastructure engineers while ensuring sensitive legal data is handled securely.

Own the reliability, security, performance, and availability of cloud-based database and data warehouse platforms. Administer and optimize Microsoft SQL Server and Amazon Redshift, lead AWS data warehouse operations, design high-availability and disaster-recovery strategies, manage access controls and auditing, and drive automation and monitoring improvements. Collaborate with Engineering, Product, Infrastructure, Analytics, and business leaders to support scalable, secure data systems and downstream analytics and AI use cases.

Designs and manages multi-cloud infrastructure across GCP, AWS, and Azure using Terraform and Kubernetes. Provides hands-on developer support, troubleshoots infrastructure and cluster issues, and maintains highly available systems. Responsibilities include networking, container orchestration, monitoring, logging, CI/CD automation, documentation, security collaboration, and on-call participation.

Designs, operates, and improves secure multi-account AWS infrastructure, Infrastructure as Code, CI/CD pipelines, containerized workloads, monitoring, observability, and cloud security controls. Troubleshoots issues across the software delivery and runtime stack, documents operational standards, mentors engineers, and supports technical readiness reviews. The role also contributes to automation, reliability, and potentially generative AI infrastructure and developer workflows.

Operate and optimize WEKA data platform deployments for AI hyperscaler customers. Responsibilities include monitoring, upgrades, capacity management, tenant onboarding, storage and networking configuration, Kubernetes and GPU infrastructure support, performance benchmarking, incident escalation, runbook development, and automation using Python, Bash, and Ansible. The role requires strong Linux, storage, networking, cloud, and customer-facing infrastructure administration experience.

Develop and maintain GitLab CI/CD pipelines, containerized environments, and automated deployment systems for web applications. Configure Linux servers and AWS services including ECR, ECS, Fargate, RDS, IAM, and CloudWatch. Containerize legacy applications, implement testing and security scanning, troubleshoot pipeline and cloud issues, write supporting scripts and documentation, and train development teams on DevOps practices.

Develops and maintains enterprise infrastructure automations using Ansible, ARIA, Python, Bash, and PowerShell. Builds RESTful APIs, Infrastructure as Code solutions, CI/CD pipelines, integration workflows, and automated testing frameworks. Supports the full automation development lifecycle, troubleshoots production issues, documents solutions, and collaborates with infrastructure, security, and service teams in Agile environments. Requires advanced infrastructure automation experience, Linux and Windows administration expertise, secure coding knowledge, and Public Trust eligibility.