Top DevOps & Platform Engineering Jobs in Lexington, KY

Supports multi-cloud lab infrastructure across AWS, Azure, and Google Cloud using Terraform, Ansible, and GitHub Actions. Assists with infrastructure-as-code modules, CI/CD pipelines, security tool evaluations, agentic automation, client POC engagements, technical documentation, and findings reports under mentorship. The part-time remote internship provides hands-on exposure to cloud infrastructure, DevOps, cybersecurity tooling, and AI-driven evaluation environments.

Build and operate reliable platform systems supporting billing, payments, financial workflows, and usage-based software. Responsibilities include evolving cloud infrastructure, improving observability and incident response, creating developer tooling and automation, optimizing distributed backend systems and databases, and ensuring security, auditability, and financial data correctness. The role requires pragmatic technical judgment, product awareness, end-to-end ownership, and experience operating production systems at scale.

Own enterprise customer technical cases from triage through resolution, troubleshooting Kubernetes, ECS, Docker, cloud infrastructure, deployments, connectivity, and CI/CD issues. Perform root-cause analysis, lead customer calls, build diagnostic scripts and tooling, contribute small product fixes, and document reusable runbooks. The role also includes occasional customer build engagements and collaboration with Product and Engineering.

Leads end-to-end cloud operations for a multi-region SaaS portfolio, overseeing availability, incident management, root cause analysis, configuration and change management, monitoring, performance, and infrastructure costs. Builds and develops a team of system administrators and SREs while partnering with Development, Security, and Support to improve operational readiness and reliability across AWS and Azure environments.

Designs, implements, administers, and supports enterprise cloud platforms, integrations, databases, middleware, and application services. The role develops secure, scalable architectures; automates deployments and administration; supports Oracle Cloud and related technologies; resolves complex platform and integration issues; and leads technical improvements. It also provides architecture guidance, customer consultation, requirements analysis, technical reviews, coaching, and training across the organization.

Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.

Lead a small Infrastructure and Agentic Platform team while serving as a hands-on engineering manager. Own AWS infrastructure, data platforms, security, compliance, reliability, and AI-native software development workflows. Mentor engineers, guide hiring, define the roadmap, and build tools for planning, coding, testing, monitoring, and triage. The role requires balancing AI acceleration with engineering quality, cost, security, and operational reliability in a healthcare AI environment.

Build and maintain scalable AWS infrastructure using Terraform and AWS CDK. Design highly available cloud environments, automate operational workflows with TypeScript, implement policy-as-code guardrails, optimize cloud costs, and lead disaster recovery planning and testing. The role also involves CI/CD, Kubernetes, networking, identity platforms, cross-team consensus building, project ownership, communication, and mentoring junior engineers.

Lead reliability strategy and architecture for distributed systems in a regulated financial environment. Design automation, observability, SLOs, SLIs, incident response, CI/CD, deployment, rollback, and release practices. Lead major incident response and root cause analysis, improve operational tooling, assess change risk, ensure compliance, and mentor engineers while influencing application and platform architecture.

Manages a cloud services team and oversees cloud strategy, infrastructure deployment, architecture, optimization, security, compliance, documentation, and disaster recovery. Leads cloud engineers, coordinates cross-functional cloud projects, ensures reliable and scalable environments, controls costs, maintains standards and procedures, and drives innovation. Supervises up to 15 employees while aligning cloud operations with organizational and business objectives.