Top DevOps & Platform Engineering Jobs in Lexington, KY

Lead enterprise and hybrid cloud architecture strategy and governance. Define reference architectures, hybrid cloud roadmaps, and guardrails. Guide Nutanix private cloud integration, evaluate Azure/AWS/GCP services, enable self-service platforms, mentor architects and engineers, and support executive decision-making to deliver secure, resilient, and scalable platform solutions.

Establishes and owns Bloom’s production support and incident response function. Responsibilities include implementing monitoring, supporting major incidents, coordinating responders and vendors, overseeing root cause analysis, tracking preventive actions, automating repetitive support tasks with Python or Bash, maintaining documentation, and measuring incident response effectiveness. The role also supports client-facing Operations teams with onboarding, offboarding, sandbox resets, and other technical support needs while partnering with product and engineering teams to reduce support overhead.

Design, deploy, automate, and support large-scale cloud network infrastructure across AWS, Azure, and GCP. Manage firewalls, Kubernetes networking, VPNs, DNS, BGP, monitoring, infrastructure as code, and network performance. Lead technical roadmaps, design reviews, troubleshooting, engineer onboarding, and team direction while participating in on-call support and occasional travel.

Design and scale distributed, high-availability systems and platform architectures. Define frameworks, tooling, and standards, contribute hands-on to prototypes and production, guide teams on reliability, observability, and operational excellence, and align technical decisions with product and business priorities.

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

The role involves supporting production environments, troubleshooting incidents, upgrading systems, and training staff on Hogan migration. It emphasizes monitoring system performance and ensuring compliance with technology standards.

Design, build, and maintain scalable AWS and Azure infrastructure using Infrastructure-as-Code. Develop automation, deployment pipelines, and production release processes. Contribute code to cloud services, manage networking and IAM, ensure availability and security, and respond to incidents while collaborating on observability and security practices.

The Director of Engineering will lead platform engineering strategy and teams, enhancing developer experience, driving AI integration, and establishing governance for development practices.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.