Summary
✨ AI‑Generated
A hands-on DevOps role centered on automating on-premises virtualized infrastructure with Terraform and containerizing services with Docker, while maintaining a production AWS environment. You will modernize previously manual infrastructure, support scalable customer-facing systems, and contribute to database and platform modernization using contemporary engineering practices and AI-assisted development tools.
Highlights
Hands-on DevOps opportunity focused on modernizing infrastructure through automation, containerization, and infrastructure-as-code. The role combines substantial on-premises VMware work with AWS production operations and exposure to high-volume, customer-facing systems.
Description
The short version
You'll spend most of your time building and automating on-premises VMware infrastructure with Terraform and Docker, and the rest keeping a production AWS footprint healthy.
The platform you're supporting handles emergency escalations for major consumer apps — high-volume, customer-facing, and growing.
About the team
Our client has been in the security business for 150 years and is now packaging its monitoring capability as a service for large enterprise and consumer platforms.
This engineering group owns the infrastructure behind that service and is actively modernizing it: automating what was manual, containerizing what was hand-deployed, and migrating databases forward.
The team uses Cursor for AI-assisted development and expects engineers to lean into it.
What you'll do
Design, build, and automate on-prem VMware infrastructure using Terraform and Infrastructure-as-Code practicesContainerize and deploy services with Docker, on-prem and in Amazon ECSBuild and maintain CI/CD pipelines in BitbucketProvide operational support for production AWS environments (incident response, performance, cost, hardening)Contribute to PostgreSQL migration and modernization workAdminister and automate Linux systems at scaleSupport integrations with third-party APIs and enterprise partnersCommunicate clearly with engineering, product, and business stakeholders — this role has a lot of cross-team surface areaWhat you need
10+ years in DevOps, Infrastructure, or Platform EngineeringHands-on experience building and administering VMware / on-premises infrastructure — not just consuming itDeep Terraform and IaC expertiseDocker in production; Amazon ECS experienceProduction AWS support experienceCI/CD fluency, ideally with Bitbucket PipelinesPostgreSQL experience, including at least one migration or modernization projectStrong Linux administration and scripting/automationStrong troubleshooting instincts and comfort with production on-call realitiesClear, effective written and verbal communicationNice to have
GCP exposure or cloud-to-cloud migration experienceExperience with AI-assisted development tools (Cursor, Copilot, etc.)Background in high-volume, customer-facing production environmentsExperience building platforms that integrate with external APIs / service providersBefore you apply
This role is majority on-prem.
Please apply only if you can say yes to all of the following:
You can work hybrid on-site in Irving, TX (DFW area) without relocation assistanceYou have 10+ years in a DevOps, infrastructure, or platform engineering roleYou have personally administered vSphere / VMware infrastructure — not just consumed VMs someone else builtYou have written Terraform from scratch for infrastructure you owned, including at least one non-AWS providerYou have run Docker in productionYou have hands-on experience with PostgreSQL in a migration, upgrade, or modernization projectIf your background is cloud-only, this is not the right fit and we'd rather not waste your time.
Why this role
Most DevOps postings are cloud-only.
This one is the reverse: real hardware, real hypervisors, and the mandate to modernize how they're run — with cloud experience as a complement, not the whole job.
If you like on-prem engineering but want to work with modern tooling and an AI-forward team, this is a rare fit.
