Senior Azure Platform / DevOps Engineer

Makai Labs

USremote countryPosted Jul 2, 2026
Posting intelligenceActively listedReposted 29×, possible evergreen/ghost posting

Skills

azure devopsterraformpostgresgithubpythonazurerediscicd

About the role

Senior Azure Platform / DevOps Engineer

About Makai

Makai uses best-in-class AI and data to solve real-world operational and strategic challenges at scale. We help businesses with enterprise automation, human-machine teaming, product design and development, and market intelligence. Until now, people have had to learn and adapt to software. Makai creates solutions that adapt to people because technology will never be 100% accurate. People are essential for all of our human-machine teaming solutions.

About the role

We build and run cloud platforms for our clients. A lot of the time that means standing up a reusable Terraform foundation and adapting it for each client and environment. You'd own these platforms: design them, build them from an empty subscription, keep them running, and act as the person who actually knows how the whole thing fits together.

This is a senior role with a lot of trust attached. The clients differ, the topologies differ, the pipelines differ. What stays constant is Azure and the expectation that you can size up an unfamiliar setup, make the right calls, and own the result.

The ideal candidate will be able to

Stand up new platforms from scratch: network, compute, data, and the pipeline to ship to them.

Make the architecture calls and live with them. That includes knowing when a Terraform change is a safe in-place update and when it's a destroy-and-replace you should never run blind against production.

Run migrations that carry real risk. Move a live platform onto a new foundation, read the plan correctly, write the runbook, and have a rollback ready before you start.

Keep platforms healthy over time: provider upgrades, drift, security, and not letting a shared foundation rot as more clients land on it.

Work directly with the client's own DevOps engineers. Often they're the ones running the apply and you're advising, so you need to explain a plan, unblock a failure quickly, and be someone the engineer holding the keys trusts.

Qualifications

Azure experience is the hard requirement. You've built and run production Azure yourself, not just used modules someone else wrote. Specifically:

Azure networking is where most of the work lives: VNets and subnets, private endpoints and private DNS zones, NSGs and UDRs, NAT, Application Gateway and WAF, load balancers, and hub-and-spoke / Virtual WAN.

Terraform on Azure, with state treated as something you respect: workspaces, migrations, imports, remote backends, and the discipline not to force an apply through a lifecycle guard.

The delivery path: Azure Container Registry, VM Scale Sets and cloud-init, and CI/CD with Azure DevOps or GitHub.

Azure data services: Postgres Flexible Server, managed Redis, Blob storage, and a real sense of their sizing, failover, and cutover risks.

Entra ID and RBAC: app registrations, service principals, role assignments scoped properly across subscriptions.

Clear writing and a level head on a live call. You can hand someone a runbook they can follow without you in the room.

Nice-to-haves

Azure certs (AZ-104, AZ-305).

Temporal or similar workflow runtimes, and scripting (Bash, Python) for the glue.

Past consulting or client-embedded work. You've been the outside expert before.

How we work

Small senior teams, real ownership. We'd rather have one engineer who understands a platform top to bottom than several who each own a slice.

Core values for Makai employees

Be a flexible, innovative and creative thinker

Be congenial and a team player

Be self-sufficient

Be self-driven with an ownership mentality

Have a strong work ethic

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for DevOps / SRE roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our DevOps / SRE hub for United States medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.