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2 дня назад

Sr Software Engineer in Test (AI)

142 600 - 197 100$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Sr Software Engineer in Test (AI): Designing and executing automated functional, integration, regression, performance, stress, and load testing for the Everfox User Access Monitoring product suite with an accent on generative AI, Python-based tooling, and Linux/Kubernetes environments. Focus on building AI-augmented test frameworks, generating synthetic workloads, analyzing logs and telemetry, and correlating defects across logs, traces, and metrics.

Location: Salt Lake City, Utah — hybrid; on-site with the team 2–3 days per week, typically. Candidates should live within about 50 miles of the office.

Base salary: $142,600–$197,100 per year, plus bonus plans and benefits.

Company

hirify.global provides high-assurance cybersecurity and trusted connectivity for mission-critical environments, protecting sensitive data and enabling secure collaboration.

What you will do

  • Plan, design, and deliver testing for the User Access Monitoring product suite and its integrations.
  • Gather integration requirements and organize technical resources for product setup and test environments.
  • Design automated test cases, scripts, regression suites, and continuous integration coverage.
  • Execute functional, integration, unit, system performance, stress, and load testing; analyze results and report defects.
  • Use generative AI for requirements synthesis, test generation, log analysis, anomaly detection, synthetic data creation, and root-cause investigation.
  • Collaborate with development and test teams to reproduce issues, improve coverage, and maintain reliable test automation.

Requirements

  • At least 7 years of software engineering experience, preferably with a focus on test automation.
  • Bachelor’s degree in Computer Science, Computer Engineering, Information Security, or equivalent experience.
  • Hands-on experience developing test automation tools and frameworks, including generative AI automation accelerators.
  • Strong programming experience with Python and Linux shell scripting, including AI SDKs, embeddings, model inference APIs, and automation pipelines.
  • Experience with configuration management, integration testing, CI/CD test orchestration, Red Hat Linux, and Kubernetes.
  • Must be able to work in the United States and be willing to obtain a government security clearance if required.

Nice to have

  • Experience applying generative AI to configuration analysis, deployment artifacts, cluster diagnostics, performance analytics, and test coverage optimization.

Culture & Benefits

  • Hybrid flex schedule with regular in-person collaboration.
  • Flexible paid time off.
  • 401(k) matching.
  • Contributions toward healthcare coverage.
  • Bonus plans may be available based on eligibility.

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