Jobs / United States / Aviatrix Systems INC
Staff Engineer SDET
Aviatrix Systems INC · 🇺🇸 Santa Clara, CA
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 4 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 6 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 Aviatrix Systems INC paid sponsored hires in similar roles1 certified filing for “Staff Cloud Network Engineer” (Software Developers) in LA: $170k–$170k, median $170k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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 — Aviatrix Systems INC
The US Department of Labor certified 4 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 6 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 Aviatrix Systems INC →
About the role
WHO WE ARE: Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai . ABOUT THE ROLE: We are searching for a Staff Software Development Engineer in Test (SDET) to join the Aviatrix Engineering Productivity (EngProd) Integration Playground team. In this role, you will own the design, build-out, and ongoing evolution of the Platform and Hybrid Scale Integration Playground — a critical environment that enables early-stage validation, scale testing, and infrastructure experimentation across the engineering organization. This is a high-impact, infrastructure-forward role at the intersection of platform engineering and test infrastructure. You will drive the development of scale testing capabilities that don't yet exist and establish shared playground infrastructure that the broader engineering organization depends on. You will work closely with scale automation leads and domain experts across Networking, Platform, and the Engineering Release & Test (ERT) team, and will mentor junior engineers on the team. RESPONSIBILITIES • Own the design, implementation, and ongoing improvement of the Platform and Hybrid Scale Integration Playground — including infra provisioning, test tooling, and environment lifecycle management • Build and scale hybrid scale test infrastructure to support large-scale simulation environments with thousands of simulated gateways • Develop benchmark test suites for operations known to cause problems at scale, ensuring regressions are detected early in the release cycle • Design and maintain Terraform-based infrastructure for scale and platform playground environments, ensuring reliability and reproducibility across releases • Identify gaps in test coverage for scale and platform features and drive improvements through new tooling or enhanced test strategies • Partner with cross-functional teams — including Networking, Platform, Security, and ERT — to understand domain requirements and translate them into playground infrastructure and test designs • Mentor engineers on the team; serve as a technical resource and set standards for test design, infrastructure quality, and best practices • Lead test design and planning for platform and hybrid scale features, managing timelines and driving execution to completion • Participate in code reviews, on-call rotations, and interview processes REQUIREMENTS • 6+ years of experience in software development or test engineering, with strong emphasis on infrastructure, scale testing, or platform engineering • Bachelor's, Master's, or PhD in Computer Science or a related field • Strong coding skills in Python and/or Golang • Deep understanding of cloud infrastructure concepts, including networking, gateway architectures, VPCs, and CSP account structures (AWS, Azure, GCP, or OCI) • Hands-on experience designing and managing test environments at scale using cloud platforms and infrastructure-as-code • Proficiency with Terraform for building and maintaining regression and scale test infrastructure • Experience with CI/CD pipelines, GitHub Actions, Docker, and Kubernetes • Proven ability to work independently and drive projects from design through delivery with minimal supervision • Proficient in leveraging AI-powered tools (e.g., GitHub Copilot, LLM-based assistants) to improve test generation, infrastructure automation, and engineering productivity P