Top DevOps & Platform Engineering Jobs in Lexington, KY

Design, implement, and operate hybrid-cloud infrastructure and platform services. Automate infrastructure (IaC), manage Kubernetes (EKS and on-prem), provision distributed systems (Spark, Kafka, databases), build CI/CD pipelines, improve cloud governance/security, and collaborate with trading, development, and operations teams to maintain reliable production systems.

The Project Engineer will deliver complex IT projects, focusing on infrastructure, cloud, and end-user environments, ensuring effective deployment and support.

Join Arista Networks as a Site Reliability Engineer to manage CloudVision service reliability, scalability, and stability in a FedRAMP environment, focusing on areas like architecture, security, and performance optimization.

Own and unify platform infrastructure, CI/CD, release automation, secrets and feature-flag systems, and observability. Ensure reliability, security, and compliance (PCI-DSS/SOC 2), contribute to codebase, and participate in on-call rotation while building developer self-service tooling.

Design, implement, and support enterprise cloud network infrastructure across Azure, OCI, and GCP. Manage firewalls, Cisco devices, VPNs, VPCs, and virtual networking; deploy configurations with Terraform (including AWS security groups); enforce STIG/IAVM compliance; monitor performance; provide Level-2/3 troubleshooting and participate in 24/7 on-call rotation.

Lead UJET's Core Infrastructure team to design, deploy, and maintain cloud services, ensuring scalability, security, and reliability while mentoring team members and collaborating across departments.

Design, build, and extend Calendly's infrastructure platform; develop cloud-native tools and APIs (primarily in Go) using Kubernetes patterns; guide application development, mentor teams, ensure reliability and observability, and participate in on-call rotation.

You will manage AWS infrastructure, automate deployments, debug application issues, and improve the operational health of Metabase Cloud.

Operate and harden Blitzy's self-hosted, Kubernetes-based AI platform inside customer-controlled secure cloud environments. Own deployments, upgrades, capacity planning, observability, incident response, and customer-facing technical coordination while championing security and feeding operational learnings back into the product roadmap.

Lead platforms engineering for scalable cloud infrastructure: design and implement Kubernetes-based systems, optimize data pipelines with AI, refactor stateful services to be stateless, improve autoscaling and reliability, own data ingestion/export, build internal developer tools, enforce security and testing standards, mentor engineers, and participate in on-call rotations.