Staff SDET Engineer

Aviatrix Systems; Santa Clara (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Stock options

Premium coverage 100% employee

401K

Parental Leave

Flexible Vacation

Education reimbursement

Job summary

Aviatrix Systems in Santa Clara, CA is seeking a Staff Software Development Engineer in Test to lead the Platform and Hybrid Scale Integration Playground. You will architect and evolve scalable test infra, drive large-scale simulations, and build benchmark suites enabling early regression detection.

You will mentor engineers, collaborate across Networking, Platform, Security, and ERT, and own infra provisioning, tooling, and lifecycle management to ensure reliable releases.

Qualifications

• Requires strong coding in Python and/or Go (Golang).
• Experience building scale test infrastructure and test tooling.
• Familiarity with cloud infrastructure concepts and multi-cloud environments.
• Proven ability to design, implement, and operate test environments at scale.

Responsibilities

• Own the design, build-out, and evolution of the Platform and Hybrid Scale Integration Playground.
• Develop and scale large-scale simulation environments with thousands of simulated gateways.
• Design and maintain Terraform-based infrastructure for playground environments.
• Mentor junior engineers and set standards for test design and infra quality.
• Collaborate with Networking, Platform, Security, and ERT teams to translate requirements into playground infra.

Skills

Python

Golang

Infrastructure design

Scale testing mindset

Mentoring

Cross-team collaboration

Education

Bachelor's/Master's/PhD in Computer Science or related

Tools

Terraform

CI/CD

GitHub Actions

Docker

Kubernetes

Job description

• 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
• 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

Benefits

• Stock options for all full-time employees
• World-class coverage - we pay 100% of employee premiums and 88% of the family cost
• 401K
• Parental Leave (up to 12 weeks)
• Flexible Vacation
• Up to $1000 education reimbursement anually

Proven ability to work independently and drive projects from design through delivery with minimal supervisionProficient in leveraging AI-powered tools (e.g., GitHub Copilot, LLM-based assistants) to improve test generation, infrastructure automation, and engineering productivityBachelor’s, Master’s, or PhD in Computer Science or a related fieldStrong coding skills in Python and/or GolangDeep understanding of cloud infrastructure concepts, including networking, gateway architectures, VPCs, and CSP account structures (AWS, Azure, GCP, or OCI)6+ years of experience in software development or test engineering, with strong emphasis on infrastructure, scale testing, or platform engineeringProficiency with Terraform for building and maintaining regression and scale test infrastructureExperience with CI/CD pipelines, GitHub Actions, Docker, and KubernetesHands‑on experience designing and managing test environments at scale using cloud platforms and infrastructure-as-codeA technical leader who can influence platform and test strategy, mentor others, and drive cross‑team alignment without needing formal authorityA systems thinker who can design infrastructure that doesn’t yet exist and drive it to productionSomeone with a scale‑first mindset — you understand how systems behave under load and know how to build environments that expose those behaviors reliablyA strong collaborator who can translate complex domain requirements from networking and platform engineers into robust playground infrastructure and benchmark toolingA builder who takes full ownership — from problem definition through design, implementation, and ongoing operationsPrior work on hybrid or multi‑cloud infrastructure environmentsExperience mentoring junior engineers or providing technical leadership on infrastructure projectsFamiliarity with benchmark testing methodology — designing repeatable benchmarks, establishing baselines, and detecting regressions in processing time or memory usageExperience building large-scale simulation or emulation environments (e.g., fake/simulated gateway fleets, network topology emulation)Experience with observability and monitoring tools such as Grafana, Prometheus, or Datadog for environment health and test result visualization