GrepJob
Blink Health

Senior Software Development in Test

Blink Health
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about 3 hours ago
Pittsburgh, PA, USA or New York, NY, USASenior
H1B Sponsor

Responsibilities

  • Design and implement end-to-end automation frameworks and testing strategies for complex, cross-team features.
  • Own the automation roadmap for one or more modules, defining goals, execution plans, and success metrics.
  • Anticipate risks, identify testability gaps, and drive continuous improvements in quality and efficiency.
  • Build and maintain functional, performance, resiliency, and security automation tools integrated into CI/CD pipelines.
  • Design scalable test infrastructure for distributed systems and cloud-native platforms.
  • Collaborate across engineering, product, platform, and QA teams to ensure comprehensive coverage and reliable releases.
  • Leverage AI-assisted automation tooling to accelerate test creation and maintenance.
  • Build AI-first automation workflows using intelligent test generation and self-healing automation.
  • Drive innovation in autonomous quality engineering systems.
  • Champion modern quality engineering practices including observability-driven testing.
  • Provide technical mentorship to SDETs and engineers.

Requirements

  • At least 5+ years of experience in SDET contributions, automation engineering, and quality tooling.
  • Passionate about delivering high-quality, reliable products through automation.
  • Advanced proficiency in testing methodologies, automation frameworks, and debugging techniques.
  • Experience in building and maintaining test infrastructure across multiple platforms.
  • Strong command over algorithms, data structures, databases, and scripting languages.
  • Hands-on experience with CI/CD pipelines and performance engineering tools.
  • Deep expertise in API and backend testing, ideally with AWS and distributed systems.
  • Experience setting up performance/load/stress testing infrastructure at scale.
  • Practical experience using AI-assisted development and automation tools.
  • Understanding of modern AI-first QA concepts.
  • Comfortable evaluating and integrating emerging AI tooling into workflows.