Site Reliability Engineer II at Axon in Washington, DC
- Company: Axon
- Location: Washington, United States
- Salary: $116K – $185K
- Job type: full time
- Workplace: remote
- Posted: 2026-09-16
Job description
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. Your Impact Every body camera upload. Every piece of digital evidence. Every chain of custody log that holds up in court. That's us. Axon's Platform team is the engine behind what hundreds of thousands of officers rely on every day. We're one of the world's largest blob storage customers, ingesting tens of petabytes of video and that number keeps climbing. Audio, photographs, sensor streams: if it's evidence, we move it, store it, and protect it. We're not in maintenance mode. We're in build mode. We're modernizing from the ground up with Kubernetes native lifecycle management, GitOps driven configuration, and infrastructure as code that actually reflects reality. We run a polyglot datastore environment: relational databases, wide column stores, document stores, caches, and queues, and we're building the self service platform that helps every team at Axon pick the right tool and use it well. Kafka moves the data. Terraform provisions the world. Grafana tells us when something's wrong before our users do. As a Site Reliability Engineer II, you'll contribute directly to these systems, taking ownership of well-scoped platform components while growing your ability to make broader architectural calls. You'll partner with teams across Axon who are building on top of our platform, working alongside senior engineers to help design, build, and operate systems that process evidence for millions of people. Location - This role is based out of our Seattle, or Boston office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. What You'll Do Contribute to agentic coding workflows, infrastructure as code practices, and technical code reviews across the platform Support architectural decisions and standardization efforts for Axon's platform technologies, under the guidance of senior team members Help design and build a Kubernetes based platform that automates the lifecycle management of Axon's core infrastructure Collaborate with engineering teams across Axon to support application design patterns as they relate to platform service consumption Help build and operate a self service platform that vends datastore solutions with well defined, best practice utilization patterns Partner with application teams to diagnose and resolve datastore performance bottlenecks and optimization opportunities What You Bring Bachelor's degree in Computer Science or Engineering; Master's degree a plus United States Citizen — able to gain CJIS clearance for full US production access 4+ years of professional software engineering experience; background in platform automation tooling or developer experience tooling a plus Experience designing and operating distributed systems, with a desire to grow into larger-scale architectural work Familiarity with agentic AI tooling or LLM-powered developer tools Solid experience with microservice architectures and patterns Working knowledge of cloud hosted services and architectures across Azure, AWS, or GCP Hands on experience with observability platforms such as Grafana, Datadog, or New Relic Familiarity with relational and/or NoSQL datastores (e.g., MySQL
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