Alkymi

Director, Engineering, SDET & Performance

Alkymi

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $187,680 - $281,520 per year

Job Level

Lead

Tech Stack

AWSCloudDistributed SystemsGrafanaJavaJavaScriptJMeterJUnitMicroservicesPythonSeleniumTypeScript

About the role

  • Director of Engineering, SDET, Performance & GenAI Quality Engineering; lead automation, performance tooling, and AI-driven quality across Alkami's platform.
  • Lead multiple teams focusing on test automation, performance engineering, validation tooling, and adoption of Generative AI to improve velocity, product quality, and productivity.
  • Hands-on, forward-looking leadership blending deep technical knowledge with strategic execution.
  • Collaborate cross-functionally with Product, DevOps, Platform, and Security to align delivery, architecture, and quality gates.
  • Define long-term strategy for quality and performance engineering; track KPIs; ensure production resilience and pre-release risk coverage.
  • Partner with release and site reliability teams to ensure resilience and coverage.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 15+ years in software engineering or quality leadership, including:
  • 5+ years as a senior leader managing managers in automation and performance engineering.
  • Demonstrated success leading high-impact quality organizations across large-scale, distributed systems.
  • Expertise with tools such as Playwright, Selenium, Appium, JUnit, TestNG, RestAssured, Postman, JMeter, Gatling.
  • Strong programming experience in Java, JavaScript/TypeScript, C#, or Python.
  • Hands-on experience with CI/CD pipelines, cloud-native services (AWS preferred), and performance optimization.
  • Experience defining and adopting GenAI tools within engineering orgs (e.g., test generation, assistant bots, diagnostics).
  • Deep understanding of performance testing strategies, observability, test data management, and environment scaling.
  • Excellent interpersonal and communication skills with a proven ability to influence across teams and levels. Preferred:
  • Master’s degree in Engineering, Computer Science, or Business.
  • Experience working in regulated industries such as FinTech, banking, or healthcare.
  • Familiarity with LLM technologies, AI safety, prompt engineering, or open-source GenAI frameworks.
  • Knowledge of SonarQube, JaCoCo, Grafana, and white-box testing approaches.
  • Strong background in both functional and non-functional testing in a cloud-native, microservices environment.