Full-Time
AI Infrastructure Engineer
Corporate AI Team
Axon
5,001-10,000 employees
Public safety hardware and SaaS solutions
Compensation Overview
$134.3k - $247k/yr
Boston, MA, USA + 3 more
More locations: Seattle, WA, USA | San Francisco, CA, USA | Scottsdale, AZ, USA
Remote
 DevOps & Infrastructure (1) |
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- At least 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, Amazon Web Services, or Google Cloud Platform.
- Experience with infrastructure-as-code concepts and tools such as Terraform, Bicep, Pulumi, or CloudFormation.
- Experience building, maintaining, or supporting continuous integration and continuous deployment 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 large language model application programming interfaces, prompt engineering, retrieval-augmented generation, 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, information technology partners, security stakeholders, and internal business users.
- Comfort with brownfield engineering, maintenance, support, and operational excellence.
- A practical, service-oriented mindset focused on whether internal tools work well for the people depending on them.
- 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 for applications hosted on Vercel and tools deployed across Azure, Amazon Web Services, and other environments.
- Build and maintain continuous integration and continuous deployment workflows, infrastructure-as-code patterns, monitoring, secrets management, access controls, runbooks, and support processes.
- Partner through testing, user acceptance testing, rollout, 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 user acceptance testing 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.
- 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, Amazon Web Services, Google Cloud Platform, and other cloud environments.
- Apply infrastructure-as-code concepts using Terraform, Bicep, Pulumi, CloudFormation, or similar tools.
- Manage secrets, environment variables, deployment automation, access control, logging, alerting, and operational documentation.
- Partner with Information Technology, Security, Enterprise Data, and Corporate AI to align infrastructure patterns with 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 applications, 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.
- Help build a repeatable lifecycle model for internal tools, from prototype intake through production readiness, support, maintenance, and retirement.
- Create production readiness checklists, user acceptance testing checklists, continuous integration and continuous deployment templates, infrastructure patterns, runbook templates, and support handoff processes.
- Help define whether an internal application is 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 large language models, AI agents, retrieval-augmented generation workflows, automation frameworks, and enterprise integrations.
- Help ensure AI-enabled tools are deployed with safeguards around data access, secrets, logging, auditability, and responsible use.
- Work closely with Corporate AI, Enterprise Data, Information Technology, Security, and business stakeholders.
- Communicate technical risks, tradeoffs, support concerns, and infrastructure needs 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.
- Take ownership of ambiguous problems, especially when applications have unclear support models, incomplete documentation, or evolving requirements.
- Experience operating applications on Vercel, including configuration, deployments, environment variables, access controls, monitoring, and production support.
- Experience supporting internal tools, enterprise applications, workflow automation, or business-critical internal systems.
- Experience with Azure infrastructure, identity, networking, application hosting, and security patterns.
- Experience with authentication and authorization patterns such as single sign-on, OAuth/OpenID Connect, Entra ID/Azure Active Directory, role-based access control, service principals, and secrets management.
- Experience with observability tools, logging platforms, alerting systems, uptime monitoring, incident response, and operational runbooks.
- Experience maintaining applications built with Python, TypeScript, JavaScript, Node.js, React, or similar modern stacks.
- Experience with backend services, application programming interfaces, integrations, serverless applications, containers, or cloud-hosted web applications.
- Experience with AI-powered internal tools, large language model applications, retrieval-augmented generation workflows, agents, Slackbots, enterprise integrations, or automation platforms.
- Experience integrating with enterprise systems such as Slack, Jira, Confluence/Quip, Microsoft 365, Salesforce, Snowflake, or ServiceNow.
- Experience working in regulated, security-sensitive, or compliance-heavy environments.
- Experience creating engineering standards, templates, checklists, lifecycle models, or production readiness frameworks.
- Experience participating in user acceptance testing, release readiness, stakeholder testing, or internal application rollout processes.
- Experience mentoring or enabling other engineers through documentation, templates, examples, or operational best practices.
Axon is a global public safety technology leader that provides hardware and software tools for law enforcement and security professionals. Its product lineup includes smart weapons (TASER devices), body-worn cameras, and in-car video systems, complemented by cloud-based software for evidence management and real-time situational awareness. The hardware devices collect data such as video, audio, and sensor information, which is stored and organized in Axon’s SaaS platform. Agencies access and analyze this data through subscriptions, creating recurring revenue alongside hardware sales. Axon differentiates itself through an integrated ecosystem that combines rugged hardware with scalable cloud software and analytics, ongoing training, and support. Its primary goal is to improve safety, accountability, and operational efficiency for public safety organizations while driving sustainable growth.
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
Scottsdale, Arizona
Founded
1993
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Simplify's Take
What believers are saying
- Q2 2026 revenue reached $904 million, up 35%, with guidance raised to 32%-34%.
- Software and services revenue hit $398 million, while ARR rose 39% to $1.6 billion.
- Dallas added $10.3 million in June 2026 for Dedrone counter-drone systems before the World Cup.
What critics are saying
- Axon faces privacy backlash from ALPR surveillance, with Brevard demanding public input July 2026.
- Scottsdale lawsuits over Axon's $1.3 billion headquarters threaten delays, costs, and political capital.
- Margins stay vulnerable as Q3 2026 faces higher memory and component costs without tariff refunds.
What makes Axon unique
- Axon bundles TASERs, bodycams, evidence software, and AI into one platform.
- Axon Outpost and Lightpost challenge Flock with fixed ALPR and Fusus integration.
- Dedrone expanded Axon into counter-drone security, crossing $100 million quarterly revenue in August 2026.
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Benefits
Medical, Dental, Vision
Fitness Programs
Mental Health
Pre-Tax Savings (401k, HSA, FSA)
Annual Bonuses
Stocks
Remote Work
Paid Time Off
Parental Leave
Room to Grow
Leadership Development Program
Learning and Development
Growth & Insights and Company News
6 month growth
↑ 20%1 year growth
↑ 20%2 year growth
↑ 20%Axon Enterprise shares rebounded 9.3% on Friday following a 14.3% drop the previous day, with investors reassessing the company's second-quarter 2026 results. The initial sell-off came despite strong performance — revenue rose 35% year-over-year to $904 million, marking the tenth consecutive quarter of growth above 30%. The market's concern centred on compressed gross margins in the software and services segment, driven by rising memory costs and a higher mix of counter-drone hardware sales. Axon's Dedrone division surpassed $100 million in quarterly revenue, contributing to a 123% jump in Platform Solutions revenue. Management raised full-year revenue growth guidance to 32%–34% whilst maintaining its adjusted EBITDA margin outlook at 25.5%. The company expects near-term margin pressure from component costs and hardware scaling, with software revenue anticipated to follow hardware deployments. The third-quarter results will prove whether this margin squeeze represents temporary growing pains or a more persistent challenge.
Axon Enterprise and Chewy represent contrasting investment opportunities: rapid innovation versus predictable recurring revenue. Axon provides Taser devices, body cameras, and cloud-based software for law enforcement, expanding into fire, EMS, and commercial security markets. In FY 2025, Axon's revenue reached nearly $2.8 billion, up roughly a third year-over-year. Net income was nearly $125 million, down from $377 million in 2024, yielding a 5% net margin. The debt-to-equity ratio stands at roughly 0.6x. Chewy dominates digital pet supply through its Autoship subscription programme. FY 2025 revenue hit $12.6 billion, up 6% year-over-year. Net income reached $222.8 million, producing a 2% net margin. Chewy recently acquired Modern Animal and opened Chewy Vet Care clinics to deepen customer relationships.
Wall Street closed lower on Thursday as investors awaited a permanent settlement of Middle East geopolitical conflicts and digested soft earnings from major companies. The Dow Jones Industrial Average fell 0.9%, or 464 points, to close at 53,885.10, ending a five-day winning streak. The tech-heavy Nasdaq Composite slipped 0.1% to finish at 26,363.44, whilst the S&P 500 declined 0.2% to 7,709.96. Geopolitical tensions heightened after an Iranian parliamentary committee reviewed a bill to bar US and Israeli ships from passing through the Strait of Hormuz. This development pushed crude oil prices higher, with West Texas Intermediate futures settling up 2.8% at $77.29 per barrel. Disappointing earnings weighed on sentiment. Axon Enterprise reported quarterly adjusted earnings of $1.88 per share, missing estimates, whilst Honeywell Aerospace's adjusted earnings of $1.87 per share fell short of the $2.07 consensus estimate.
Axon Enterprise reported second-quarter revenue of $904 million, up 35% year-over-year, marking its tenth consecutive quarter of revenue growth above 30%. The company raised its full-year revenue growth outlook to 32%–34%, from a previous 30%–32%, while maintaining its adjusted EBITDA margin target of approximately 25.5%. Software and services revenue increased 36% to $398 million, with annual recurring revenue growing 39% to $1.6 billion. Net revenue retention reached 126%. Newer offerings including AI Era Plan, Records, Fusus and Axon 911 collectively grew roughly 70%, whilst the AI Era Plan alone grew nearly 700%. Axon's Dedrone business surpassed $100 million in quarterly revenue, contributing to a 123% increase in platform solutions revenue. The company noted potential opportunities in a $1.5 billion DHS counter-drone programme, though it hasn't estimated its likely share.
Axon reported Q2 2026 revenue of $904 million, up 35% year over year, marking its tenth consecutive quarter of growth exceeding 30%. The public safety technology company's annual recurring revenue grew 39% to $1.6 billion, with net revenue retention reaching 126%. Software and Services revenue increased 36% to $398 million, whilst Connected Devices revenue rose 35% to $507 million. Platform Solutions revenue surged 123% to $150 million, with Dedrone revenue surpassing $100 million. Future contracted bookings grew 41% year over year to $15.1 billion. Notable wins included two nine-figure agreements with major US cities and the largest individual TASER order in company history. Axon reported net income of $29 million and adjusted EBITDA of $242 million. The company raised its full-year revenue growth outlook to 32-34% whilst maintaining its adjusted EBITDA margin outlook at 25.5%.