Job Opportunities API

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Who we are: Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most. 911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world. Your Impact As a Senior Site Reliability Engineer at Axon 911, you'll own the infrastructure that keeps our platform reliable, scalable, and secure — work that directly supports mission-critical 911 systems used by public safety agencies. You'll drive infrastructure-as-code practices across AWS, lead observability efforts through Datadog, and bring modern AI-assisted engineering approaches into how the team builds and operates. What You'll Do Own and evolve AWS infrastructure using Infrastructure-as-Code (Terraform / Terragrunt) Architect and scale AWS environments Deploy, scale, and manage containerized workloads using Kubernetes and Docker; contribute to HA/DR architecture and platform strategy Lead deployment and release processes using Argo (reference JD also names Bitbucket, Jenkins as part of the CI/CD toolset). Define and enforce SLOs, SLIs, and error budgets; drive toil reduction across the platform Drive full utilization of Datadog for monitoring, dashboards, and alerting across the platform (reference JD also names Prometheus, Grafana as potential observability tooling) Build self-service internal developer platforms that empower teams to ship faster. Take end-to-end ownership of infrastructure projects - define success criteria, execute, and measure outcomes. Partner cross-functionally with engineering teams (e.g., network engineering, Dev owners) on long-term technical planning. Bring AI-assisted engineering practices (e.g., Claude, MCP integrations) into daily workflows to improve team efficiency Document work and provide cross-training to peers. Resolve JIRA tickets across Cloud, CI/CD, deployments, and monitoring. What You Bring At least 6 years of experience as a DevOps/SRE engineer in a cloud environment Hands-on, production-level AWS experience. Hands-on production experience with Kubernetes and containerization Experience with Terraform/Terragrunt (or similar Infrastructure-as-Code tools) - required Strong Bash scripting skills Deep understanding of SRE principles: SLOs, SLIs, error budgets, toil reduction, blameless post-mortems Strong incident management / on-call experience Solid understanding of APIs, microservices, and distributed systems Demonstrated experience leading a project end-to-end, from defining success criteria through delivery and measurement Communicates effectively across teams and can drive long-term technical planning Practical experience with AI-assisted engineering tools (e.g., Claude, Cursor) and MCP-style integrations is a strong plus Experience building AI/ML infrastructure (model deployment, inference pipelines)-plus Diversity   Don’t meet every single requirement? That's ok. At Axon, we Aim Far.