Senior Site Reliability Engineer I

Axon•Atlanta, GA

1d•Hybrid

About The Position

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 As a Senior SRE on the APX SRE CloudOps team, you will design and build the cloud infrastructure and automation platforms that Axon's product engineering teams depend on. You will architect solutions for multi-cloud environments (Azure, AWS), FedRAMP compliance boundaries, and large-scale Kubernetes platforms serving production workloads across multiple regions. You will spend a significant portion of your time writing code: building services, APIs, and internal tooling using languages like Go and Python. You will also participate in on-call rotations and incident response, using operational experience to drive reliability improvements and inform platform investment. This role combines software engineering depth with cloud architecture at scale and production ownership. Location - This role is based out of our Atlanta (Peachtree Corners), 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.

Requirements

This position involves handling of classified federal data; under federal regulations, it is open to U.S. citizens only.
8+ years of applicable experience in software engineering, cloud infrastructure, or site reliability engineering.
Experience designing and operating cloud platforms at scale across Azure, AWS, or similar.
Proficiency in one or more managed languages (Go, Python, Java, C#) in the context of building services, not just scripting.
Experience architecting and operating Kubernetes platforms (AKS, EKS, or similar) at production scale.
Experience with Infrastructure as Code (Terraform, CloudFormation, CDK, or similar) for managing multi-environment, multi-region infrastructure.
Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, tests, and releases.
Experience using observability tools such as APM, logging, and metrics to assist with debugging issues.
Track record of leading design reviews, writing technical proposals, and setting engineering standards within a team.
Builder-operator mindset with proven production ownership (uptime, SLOs, on-call, incident leadership).
Experience mentoring engineers and conducting technical interviews.

Nice To Haves

Experience using AI-assisted development tools to accelerate engineering workflows is a strong plus.

Responsibilities

Design and implement services, APIs, and automation tooling that improve cloud infrastructure reliability, scalability, and operational efficiency.
Write production-quality code in Go, Python, or similar. Lead design reviews and set code quality standards within the team.
Build robust, easy-to-use foundational platforms and tools that enable engineering teams to provision services rapidly, consistently, securely, and cost-effectively.
Architect cloud infrastructure across Azure and AWS, including Kubernetes platforms, networking, and identity boundaries.
Participate in on-call rotations and incident response. Use operational experience to identify systemic reliability risks and drive platform improvements.
Foresee and mitigate risks in infrastructure design: single points of failure, scaling bottlenecks, security gaps, and compliance drift.
Influence and educate the engineering organization to adopt new and improved architectural patterns.
Leverage AI tooling and agentic workflows to accelerate engineering delivery and operational automation.
Provide robust documentation for use by engineers to promote self-service.
Mentor junior and mid-level engineers through code review, design guidance, and pairing.