Top DevOps & Platform Engineering Jobs in Lexington, KY

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.

Administer, architect, build, secure, and maintain resilient AWS cloud infrastructure, applications, containers, and Linux systems. Automate infrastructure with Terraform and Ansible, support DevOps deployments and patching, and integrate AI-driven automation and AIOps tools. Provide technical guidance, mentorship, and support to cloud engineers while improving operational efficiency and security.

Designs and maintains CI/CD pipelines, infrastructure automation, deployment processes, monitoring, and operational tooling for Java-based enterprise applications. Integrates automated testing, security scanning, vulnerability management, containerization, and secure credential practices. Collaborates with development, cybersecurity, database, QA, systems administration, and customer teams to deliver reliable releases and support compliance, hardening, patching, and continuous monitoring in a controlled environment.

Deploys and operates Kubernetes environments across AWS, Azure, and on-premises infrastructure. Builds UDS packages and application modules using infrastructure-as-code, supports customers through onboarding and training, troubleshoots production issues, provides on-call support, and improves delivery processes through operational analysis and customer feedback. The role also contributes to product direction, service development, deployment playbooks, and team mentorship.

Leads Microsoft 365 strategy, operations, security, governance, and adoption while overseeing Azure, infrastructure, business-critical applications, vendors, and a distributed IT team. Partners with business and technology leaders to deliver cost-effective solutions, improve service consistency, maintain asset and licensing compliance, and manage disaster recovery and business continuity.

Design, build, operate, and scale secure, reliable, cost-efficient cloud infrastructure across AWS and Azure. Develop infrastructure as code, support Kubernetes and microservice environments, collaborate with engineering teams, participate in on-call and incident response, automate operational toil, reduce technical debt, and improve platform reliability using AI-assisted development tools.