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About the Role
Axon’s Corporate AI Team builds internal-facing AI solutions to help employees reduce manual work, move faster, and focus on higher-value tasks. This role focuses on the operational backbone of internal applications, including infrastructure, CI/CD, deployment patterns, reliability, maintenance, support, and production readiness.
Responsibilities
- Own maintenance, support, and operational readiness for internal AI-enabled applications and tools.
- Help productionize prototypes built by Corporate AI, business teams, or technical partners.
- Improve infrastructure and deployment patterns, with a focus on Vercel-hosted applications and tools deployed across Azure, AWS, and other environments.
- Build and maintain CI/CD, infrastructure-as-code patterns, monitoring, secrets management, access controls, runbooks, and support processes.
- Partner through testing, rollout, UAT, and long-term maintenance so internal tools remain useful, stable, secure, and dependable.
- Turn prototypes, proof-of-concepts, and team-built tools into reliable applications for real business users.
- Improve production readiness across inherited applications, including deployment configuration, monitoring, error handling, documentation, testing, access controls, and supportability.
- Partner with Corporate AI engineers and business teams to move applications from prototype to pilot to production.
- Support UAT and rollout by helping validate that applications meet business needs, are stable for daily use, and have a clear support model.
- Identify reliability, security, scalability, and maintainability gaps before tools become business-critical.
- Ensure internal applications are not just built, but owned, supported, and continuously improved.
- Own and improve the operational model for internal applications hosted on Vercel, including deployment patterns, configuration, environment management, access controls, monitoring, and production support.
- Support internal applications running across Azure, AWS, GCP, and other cloud environments, with Azure experience especially helpful.
- Build and maintain CI/CD workflows, primarily using GitHub Actions.
- Apply infrastructure-as-code concepts using Terraform, Bicep, Pulumi, CloudFormation, or similar tools.
- Manage platform concerns such as secrets, environment variables, deployment automation, access control, logging, alerting, and operational documentation.
- Partner with IT, Security, Enterprise Data, and Corporate AI to align infrastructure patterns with Axon’s security and compliance expectations.
- Participate in shared production support and incident response for internal tools and applications.
- Own ongoing maintenance and support for internal applications, integrations, web apps, backend services, extensions, and workflow tools.
- Fix bugs, improve reliability, manage dependency updates, address security patches, and reduce operational toil.
- Improve observability so the team can understand application health, usage, errors, cost, and reliability.
- Create runbooks, support documentation, checklists, and escalation paths for applications under Corporate AI ownership.
- Reduce the burden on engineers focused on net-new work by taking ownership of systems that need upkeep and operational care.
- Take pride in brownfield engineering: improving existing systems and making them safer, cleaner, more reliable, and easier to operate.
- Help build a repeatable lifecycle model for internal tools, from prototype intake through production readiness, support, maintenance, and retirement.
- Create practical standards such as production readiness checklists, UAT checklists, CI/CD templates, infrastructure patterns, runbook templates, and support handoff processes.
- Help define what it means for an internal application to be experimental, in pilot, production-ready, business-critical, or ready for deprecation.
- Improve how the team inherits, supports, and maintains applications created by other teams or through rapid prototyping.
- Identify opportunities to consolidate, simplify, and standardize internal applications and infrastructure over time.
- Support infrastructure and operations for AI-powered internal tools, including applications that use LLMs, AI agents, RAG workflows, automation frameworks, and enterprise integrations.
- Understand core AI application concepts such as prompt engineering, retrieval-augmented generation, agentic workflows, model APIs, evaluations, and AI safety considerations.
- Help ensure AI-enabled tools are deployed with appropriate safeguards around data access, secrets, logging, auditability, and responsible use.
- Partner with Corporate AI to ensure AI-powered applications are reliable, secure, supportable, and aligned with Axon’s internal standards.
- Work closely with Corporate AI, Enterprise Data, IT, Security, and business stakeholders across Axon.
- Communicate technical risks, tradeoffs, support concerns, and infrastructure needs clearly to technical and non-technical partners.
- Collaborate with teams replacing existing software, augmenting workflows, or building internal tools to solve business problems.
- Support internal users and stakeholders during rollout, support, and improvement cycles when needed.
- Bring ownership to ambiguous problems, especially when applications have unclear support models, incomplete documentation, or evolving requirements.
Requirements
- 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.
- Experience supporting production or production-like systems, including bug fixes, incident response, dependency updates, documentation, and reliability improvements.
- Familiarity with AI application concepts such as LLM APIs, prompt engineering, RAG, agents, model evaluation, AI security risks, and responsible AI practices.
- Strong ownership mindset, including comfort taking over work others started, bringing order to ambiguity, and making systems more reliable over time.
- Strong communication skills and ability to work with technical teams, IT partners, security stakeholders, and internal business users.
- Comfort with brownfield engineering, maintenance, support, and operational excellence.
- Practical, service-oriented mindset focused on whether internal tools work well for the people depending on them.
- 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.
- Maintaining applications built with Python, TypeScript, JavaScript, Node.js, React, or similar modern stacks.
- Backend services, APIs, integrations, serverless applications, containers, or cloud-hosted web applications.
- AI-powered internal tools, LLM applications, RAG workflows, agents, Slackbots, enterprise integrations, or automation platforms.
- Integrating with enterprise systems such as Slack, Jira, Confluence/Quip, Microsoft 365, Salesforce, Snowflake, ServiceNow, or similar.
- Working in regulated, security-sensitive, or compliance-heavy environments.
- Creating engineering standards, templates, checklists, lifecycle models, or production readiness frameworks.
- Participating in UAT, release readiness, stakeholder testing, or internal application rollout processes.
- Mentoring or enabling other engineers through documentation, templates, examples, or operational best practices.
Skills
- Platform Engineering
- DevOps
- Infrastructure Engineering
- Internal Tools Engineering
- Automation Engineering
- Software Engineering
- Cloud Infrastructure (Azure, AWS, GCP)
- Infrastructure-as-Code (Terraform, Bicep, Pulumi, CloudFormation)
- CI/CD (GitHub Actions)
- Deployment Patterns
- Secrets Management
- Access Controls
- Monitoring
- Logging
- Production Support
- Python
- TypeScript
- JavaScript
- Node.js
- Vercel
- Azure
- AWS
- GCP
- Terraform
- Bicep
- Pulumi
- CloudFormation
- GitHub Actions
- Observability Tools
- Incident Response
- Runbooks
- LLM APIs
- Prompt Engineering
- RAG
- Agents
- AI Security
- Responsible AI
- SSO
- OAuth/OIDC
- Entra ID / Azure AD
- RBAC
- Service Principals
- Slack
- Jira
- Confluence/Quip
- Microsoft 365
- Salesforce
- Snowflake
- ServiceNow
Location
- Remote
Work Type
- Full-time
Experience Level
- Mid-level
- Senior
Salary/Compensations
- $154,388—$247,020 USD
- $134,250—$214,800 USD
Benefits
- Bonus
- Stock awards
- Array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life.
About the Company
- Axon is on a mission to Protect Life.
- We are explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software.
- Life at Axon is fast-paced, challenging and meaningful.
- We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
- Axon is a total compensation company.
Equal Opportunity
- We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion.
- We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work.
- If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com.
- Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks.
- We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.
- All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.
- If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.