Senior Software Engineer, Axon 911 (Relocation Assistance Available)

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 ...

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.

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.

You’ll work on a small team building high-performance, mission-critical devices with low-latency communication requirements. Axon has a portfolio of robust imaging and communication products that help law enforcement do their jobs and keep people safe every day. In this role, you will tackle challenging engineering problems in spaces like audio/video processing and generative AI to bring new features and products from inception to scale, thoughtfully balancing speed and the high bar for stability necessitated by the mission-critical nature of our products. 
Collaborate cross-functionally to architect and launch new user-facing features and products
Design and drive initiatives to improve the availability and reliability of our backend systems
Continuously help improve the engineering processes and tools that allow us to scale the codebase and team
Provide mentorship to less experienced engineers
Travel occasionally to support customer deployments and onsite implementations
5+ years of software engineering experience, including designing, building, and operating complex production systems.
Hands-on experience developing real-time communication platforms or other low-latency, real-time systems.
Strong understanding of distributed systems and event-driven architectures.
Proven experience building highly available, fault-tolerant, and resilient services at scale.
Expertise in reliability patterns such as redundancy, failover, graceful degradation, recovery, and observability.
Demonstrated technical ownership of business-critical systems in which performance, uptime, and reliability are essential.
Experience adopting and effectively integrating AI-assisted development tools throughout the software development lifecycle (SDLC) to improve engineering productivity, code quality, testing, documentation, and delivery