Staff Software Developer in Test (SDET)

Austin, Texas, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, Software DevelopmentIndustries

Requirements

Candidates should possess 8+ years of experience in software testing and test automation, with a proven track record of architecting automation frameworks and applying diverse testing practices including UI, unit, integration, and performance testing. Experience with both traditional and AI-assisted tools is valued, alongside expertise in testing web applications, APIs, and databases. A Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience, is required. Strong programming skills in languages such as Python, TypeScript, or Golang, expertise in automation frameworks, AI-assisted testing tools, and Agile delivery models are essential. Excellent analytical, problem-solving, debugging, and communication skills, including presenting AI-driven quality insights to senior stakeholders, are also necessary, as is the ability to manage multiple tasks and priorities effectively.

Responsibilities

The Staff Software Development Engineer in Test (SDET) will architect, design, and lead the development of automated test scripts and frameworks, ensuring comprehensive test coverage using traditional and AI-powered test generation. They will define and execute organization-wide AI-enhanced testing strategies covering functional, regression, performance, and security testing, and leverage AI tools for risk-based test prioritization and automated defect triaging. This role involves collaborating with development, product, and operations teams to integrate AI-driven quality enhancements early in the lifecycle and communicating AI-driven quality improvements to stakeholders. Responsibilities also include defining the roadmap for scalable, AI-assisted test environments, mentoring engineers on AI-assisted testing techniques, and leading company-wide AI-focused quality initiatives.

Skills

Test Automation

AI-powered testing

Self-healing automation frameworks

OpenAI

Anthropic

Cloud AI APIs

Data validation

Risk-based test prioritization

Automated defect triaging

AI-assisted root cause analysis

Performance testing

Security testing

API testing

Regression testing

Functional testing

SpyCloud

Cybersecurity for threat intelligence protection

About SpyCloud

SpyCloud specializes in cybersecurity, focusing on threat intelligence and identity protection for businesses. Its main product, the Cybercrime Analytics Platform, uses data from the dark web to help detect and prevent cyber threats like malware and ransomware. Unlike competitors, SpyCloud offers a comprehensive solution that combines threat intelligence, identity protection, and incident response in one platform. The company's goal is to enable businesses to proactively defend against cyber threats and reduce the risk of data breaches.

Austin, TexasHeadquarters

2016Year Founded

$197.9MTotal Funding

GROWTH_EQUITY_VCCompany Stage

CybersecurityIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Meal Benefits

Flexible Work Hours

Remote Work Options

Risks

Emerging startups like SevenAI and Nexus challenge SpyCloud's market position.

Infostealer malware rise requires continuous adaptation of SpyCloud's solutions.

Resource diversion to Air Force contract may affect service delivery to existing clients.

Differentiation

SpyCloud uses unique recaptured darknet data for cybercrime analytics.

SpyCloud's Cybercrime Analytics Platform offers actionable insights to prevent ransomware and account takeovers.

SpyCloud collaborates with Pentera to reduce dwell time of compromised credentials.

Upsides

SpyCloud raised $35M to enhance account takeover prevention capabilities.

SpyCloud's Air Force SBIR contract indicates growth potential in government partnerships.

SpyCloud Labs positions the company as a thought leader in cybersecurity research.

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