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Axon

AI Infrastructure Engineer

Axon · Boston, Massachusetts, United States; San Francisco, California, United States; Scottsdale, Arizona, United States; Seattle, Washington, United States

Posted about a month ago · Previously reposted

or apply directly on Axon's site. We never take the application ourselves.

Is this posting real?

This role has been open
33 days
Axon's roles stay open a median of 45 days
Reposted
Yes
taken down and listed again at least once
Salary listed
No
2% of Axon's roles list one
Ghost-job risk at Axon
low
0 stale, 11 reposted of 526 open
Hiring momentum
811 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Axon's own greenhouse board since 2026-08-03. Full hiring picture for Axon.

About this role

As an AI Infrastructure Engineer at Axon, you will be responsible for transforming internal AI prototypes into production-ready applications. This role involves maintaining and supporting AI-enabled tools, improving infrastructure and deployment patterns, and collaborating with various teams to ensure applications are reliable and secure. You will also focus on operational excellence, including CI/CD workflows and infrastructure management across cloud environments.

Our read on this posting2.8out of 5
benefits
2/5
freshness
3/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Axon as an employer.

What you need

  • 4+ years of experience in platform engineering, DevOps, infrastructure engineering, internal tools engineering, automation engineering, software engineering, or a related technical role.
  • Strong cloud infrastructure experience with Azure, AWS, or GCP; Azure experience is especially helpful.
  • Experience with infrastructure-as-code concepts and tools such as Terraform, Bicep, Pulumi, CloudFormation, or similar.
  • Experience building, maintaining, or supporting CI/CD pipelines, especially with GitHub Actions.
  • Strong understanding of deployment patterns, environments, secrets management, access controls, monitoring, logging, and production support.
  • Ability to read, understand, maintain, and improve application code in Python, TypeScript, JavaScript, Node.js, or similar languages.

Nice to have

  • Operating applications on Vercel, including configuration, deployments, environment variables, access controls, monitoring, and production support.
  • Supporting internal tools, enterprise applications, workflow automation, or business-critical internal systems.
  • Azure infrastructure, identity, networking, application hosting, and security patterns.
  • Authentication and authorization patterns such as SSO, OAuth/OIDC, Entra ID / Azure AD, RBAC, service principals, and secrets management.
  • Observability tools, logging platforms, alerting systems, uptime monitoring, incident response, and operational runbooks.

What you get

  • Total compensation includes base pay, bonus, and stock awards.
  • Array of benefits to support physical, financial, and emotional well-being.
  • Details on benefits offerings available on the Axon careers page.

Worth weighing

  • No specific mention of remote work options or flexibility in work location.
  • The role is not focused on AI research, which may limit exposure to cutting-edge AI development.
  • The job description emphasizes operational excellence and maintenance, which may not appeal to those seeking primarily new feature development.

Summarised from Axon's posting. Read the full original.

Listed by Axon on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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