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# Infrastructure Developer, Platform Engineering

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/maintainx.md)Share16 Sep 2026Published32Listing views2Application actions16 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryMaintainX is hiring a senior Infrastructure Developer within Platform Engineering to build an AI-native internal developer platform. The role centers on AWS infrastructure-as-code with Terraform, GitHub Actions CI/CD guardrails, production Kubernetes, Helm, and reusable deployment workflows. Responsibilities also include observability, AI-assisted remediation, infrastructure security, and enabling engineering teams to self-serve safely. The position requires at least five years of DevOps, cloud infrastructure, or software engineering experience and includes participation in an on-call rotation.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a senior infrastructure role spanning cloud architecture, multi-region Kubernetes operations, CI/CD reliability, security controls, and developer-platform design. The AI-native platform mandate and on-call responsibility require strong technical judgment and the ability to make safe, scalable trade-offs independently.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$147,725US market range$120k–$175k0$193k

AI insightThe disclosed annual base-pay range is USD 120,000 to USD 175,450, with a midpoint of USD 147,725. This range is competitive for a senior DevOps/Infrastructure Developer role in the US market, particularly one requiring AWS, Terraform, Kubernetes, CI/CD, security, and on-call expertise. Commission, annual bonus, and equity may be available depending on the role, but no amounts are disclosed and they are excluded from the base-salary analysis.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[GitHub Actions](https://jobicy.com/jobs?search_keywords=GitHub%20Actions.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Helm](https://jobicy.com/jobs?search_keywords=Helm.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Cloud Security](https://jobicy.com/jobs?search_keywords=Cloud%20Security.md)

Sample interview questionsHow would you design a Terraform-based infrastructure platform that lets product teams self-serve while preserving governance?I would provide versioned, opinionated Terraform modules for common patterns such as services, networking, databases, IAM, and observability. Guardrails would be embedded through policy-as-code, least-privilege defaults, mandatory tags, remote state controls, pull-request plans, and automated security scanning. Teams could consume approved modules through documented interfaces, while platform engineering retains ownership of shared foundations and module lifecycle management.

What practices would you use to make GitHub Actions deployment pipelines safe for agentic or automated releases?

I would require protected environments, scoped credentials, signed artifacts, immutable image tags, policy checks, and clear approval rules based on risk. Pipelines should run unit, integration, security, infrastructure, and deployment verification steps, then use progressive delivery with automatic rollback signals. Every automated action should be traceable through audit logs, ownership metadata, and observable release status.

How have you approached operating Kubernetes clusters across multiple regions?

I focus on consistent cluster baselines, declarative configuration, resilient networking, workload isolation, autoscaling, and tested disaster-recovery procedures. I would standardize add-ons and Helm releases, define regional failover expectations, monitor cluster and application service-level indicators, and routinely test recovery paths. The design should balance availability requirements with operational complexity and cost.

How would you improve observability and alert ownership for an internal developer platform?

I would establish actionable service-level indicators and objectives for critical platform capabilities, then connect metrics, logs, traces, and deployment events for fast diagnosis. Alerts should have documented owners, severity definitions, runbooks, escalation paths, and regular tuning to reduce noise. I would also use incident learnings to improve dashboards, automate remediation where appropriate, and make platform health visible to engineering teams.

Describe how you would harden the software supply chain and cloud infrastructure for this environment.

I would combine least-privilege IAM, network segmentation, secrets management, infrastructure policy-as-code, image vulnerability scanning, and dependency controls. For the delivery path, I would use protected branches, short-lived credentials, artifact provenance, signed images, controlled registries, and admission policies in Kubernetes. Controls should be automated early in the workflow so secure behavior is the easiest path for developers.

MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers, including Duracell, McDonald’s, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 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:

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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

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

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Manage and scale multi-region Kubernetes clusters

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Maintain and evolve Helm charts and deployment workflows as reusable

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

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

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Partner closely with product engineering teams to support their infrastructure needs

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Enable developers and agents to deploy and manage services independently

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Participate in the on-call rotation

About You:

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

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

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

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Experience building and maintaining CI/CD pipelines and managing deployments

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Proficient with Kubernetes in production environments

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Experience with Docker and containerized applications

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

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Strong collaboration skills and the ability to support engineering teams

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A strong communicator who can explain platform complexity and trade-offs clearly to stakeholders

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Expert-level English, spoken and written.

About MaintainX

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.

Compensation and benefits. Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country. For roles in the United States, Autodesk’s benefits are described at [benefits.autodesk.com](http://benefits.autodesk.com). For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it.

Belonging. We take pride in a culture where everyone can thrive. More at [autodesk.com/company/global-belonging](http://autodesk.com/company/global-belonging). More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.

Show more

[Apply now >](https://jobicy.com/jobs/153437-infrastructure-developer-platform-engineering.md)

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