Top DevOps & Platform Engineering Jobs in Lexington, KY

Design, deploy, and maintain highly available, secure cloud platforms; support CI, automation, monitoring, and migrations of legacy systems to AWS; resolve performance, vulnerability, and scalability issues; create operational documentation and collaborate with stakeholders.

The role involves building data processing pipelines, deploying cloud technologies, and writing code in a Kubernetes environment, focusing on big data technologies.

Lead mobile deployment teams for data center operations, ensuring effective execution, operational control, and client communication across various sites.

Build and maintain internal platforms, automations, and integrations to scale IT operations. Own identity, access, lifecycle automation, endpoint trust, SaaS provisioning, and operational reporting. Develop scripts and services (Python, Bash), partner with Security and Engineering for secure AI, Zero Trust, HIPAA and SOC 2 compliance, and apply DevOps/SRE/ITIL practices for monitoring and incident response.

This role involves managing Kubernetes clusters, cloud infrastructure, and CI/CD pipelines. The engineer will enhance system reliability and efficiency while troubleshooting production issues.

Lead the Engineering Enablement team owning CI/CD, testing, dependency management, developer tooling and AI-partnered development. Define productivity metrics, drive cross-org change, grow engineers, and run internal platform as a product to improve developer feedback loops and observability.

Design, build, and own AWS infrastructure and automation for a 24/7 SaaS platform. Implement scalable, secure, highly available systems, partner with developers to improve reliability and performance, maintain critical infrastructure, build tooling and processes to reduce toil, participate in weekly on-call rotation and lead RCA and durable fixes.

Lead end-to-end platform engineering projects to build and operate a multi-tenant data lakehouse and scalable compute infrastructure, partner with cross-functional teams, improve reliability/observability, support platform users, and drive platform usability and ML/analytics enablement.

Lead architecture and scalability of cloud-native applications, manage a team of engineers, improve performance, and ensure code quality.

Conduct audits of AWS infrastructure and Python/Django applications, provide recommendations for scalability and security, and implement high-availability solutions.