Infrastructure Developer, Platform Engineering

About the role

MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 15,000 customers, including McDonalds, Michaels, Cintas, Redimix, and U.S. LBM, use MaintainX to cut unplanned downtime and run better operations, across 16 million managed assets and 92 million completed work orders.

In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions https://adsknews.autodesk.com/en/views/inside-autodesk-operations-solutions/, the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours.

The Team and Mission

You'd be joining our Infrastructure team within the Platform Engineering division.

We're building an AI-native platform for our internal developers, over 150 of them, guided by a single question: does this shorten the time from idea to value, for the teams building on our platform and for the customers they ultimately serve?

The smooth path is the safe, fast path, because the platform makes it the default. We build the route that maximizes AI acceleration.

What You'll Do:

- Design, build, and evolve our cloud infrastructure (primarily AWS) as code, using Terraform to keep every environment reproducible and legible to both engineers and agents

- Build CI/CD pipelines (GitHub Actions) with guardrails that make agentic releases safe by default

- Manage and scale multi-region Kubernetes clusters

- Maintain and evolve Helm charts and deployment workflows as reusable

- Strengthen observability, monitoring, logging, and alerting, feeding signal back into AI-assisted remediation and define clear alert ownership

- Harden infrastructure security, image scanning, policy-as-code, network segmentation, and firewall configuration

- Partner closely with product engineering teams to support their infrastructure needs

- Enable developers and agents to deploy and manage services independently

- Participate in the on-call rotation

About You:

- 5+ years of experience in DevOps, cloud infrastructure, or software engineering

- AI-forward: you hold everything you build to an AI-native standard

- Strong experience with cloud platforms (AWS preferred; Azure or GCP experience transfers well)

- Experience building and maintaining CI/CD pipelines and managing deployments

- Proficient with Kubernetes in production environments

- Experience with Docker and containerized applications

- Experience with observability tools, including monitoring, logging, and alerting systems