Jobs / United States / Axon Enterprise INC
Senior Site Reliability Engineer I
Axon Enterprise INC · 🇺🇸 Boston, Massachusetts, United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 117 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 19 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Axon Enterprise INC paid sponsored hires in similar roles7 certified filings for “Software Engineer I” (Software Developers) in MA: $130k–$160k, median $142k. Most were filed at wage level I (57%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Axon Enterprise INC
The US Department of Labor certified 117 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 19 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Axon Enterprise INC →
About the role
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. You'll set technical direction across all of it. Not just implementing someone else's plan, but making the calls: which datastore patterns we standardize on, how we design for scale and failure, where we invest in automation versus buy versus borrow. You'll partner with teams across Axon who are building on top of our platform, and your architectural fingerprints will be on systems that process evidence for millions of people. Location - This role is based out of our Atlanta, 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 • Drive agentic coding workflows, infrastructure as code practices, and technical code reviews across the platform • Lead long term architectural decisions and standardization efforts for Axon's platform technologies • Design and build a Kubernetes based platform that automates the lifecycle management of Axon's core infrastructure • Collaborate with engineering teams across Axon to guide application design patterns as they relate to platform service consumption • Build and operate a self service platform that vends datastore solutions with well defined, best practice utilization patterns • Partner directly 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 • 7+ years of professional software engineering experience; background in platform automation tooling or developer experience tooling strongly preferred • Proven ability to design and operate complex distributed systems at scale • Experience with agentic AI tooling or building LLM-powered developer tools • Deep experience with microservice architectures and patterns; experience migrating