Kaseya

Kaseya

Kaseya provides integrated IT management and security solutions for MSPs and SMBs, enabling centralized IT operations, remote management, cybersecurity, and automation.

IT Services
1K-5K
Founded 2000
$567M raised

Description

  • Design and evolve production-grade, scalable test automation frameworks and infrastructure.
  • Lead adoption of AI-assisted testing and AI-enabled quality engineering practices.
  • Define and guide test strategy and quality architecture across multiple teams.
  • Integrate shift-left testing throughout the software development lifecycle.
  • Own quality metrics and measurement frameworks for coverage, defect leakage, flakiness, and effectiveness.
  • Define test data strategies, including synthetic data generation and data management.
  • Influence system design and architecture to improve testability, reliability, and observability.
  • Enhance CI/CD pipelines by integrating automated tests and quality gates.
  • Lead efforts to reduce test infrastructure debt and modernize legacy automation systems.
  • Lead incident analysis and postmortems to identify quality gaps and drive improvements.
  • Guide teams in selecting appropriate testing strategies across unit, integration, and end-to-end layers.
  • Develop tooling and platform improvements to increase developer productivity and engineering efficiency.
  • Provide technical leadership and mentorship to SDETs and engineers.
  • Contribute to code reviews and technical discussions to uphold testability and quality standards.
  • Promote a culture of quality across the organization.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • 7+ years of experience in software development, test automation, or quality engineering.
  • Proven track record of defining test strategy and quality architecture across teams.
  • Strong programming skills and experience building production-grade automated testing frameworks and tools.
  • Strong computer science fundamentals, including data structures, algorithms, and design patterns.
  • Deep understanding of testing methodologies, including unit, integration, end-to-end, performance, and security testing.
  • Hands-on experience with public cloud platforms such as AWS, GCP, or Azure.
  • Experience working with distributed systems and understanding of how architecture impacts testability, reliability, and observability.
  • Experience integrating automated testing into CI/CD pipelines and modern software delivery workflows.
  • Experience defining and analyzing quality metrics to drive data-informed decisions.
  • Ability to lead adoption of AI tooling across test automation and quality analysis workflows.
  • Proven ability to influence engineers and stakeholders across teams without direct authority.
  • Strong debugging and root cause analysis skills in complex distributed systems.
  • Strong communication skills and experience collaborating with engineering, product, and design teams.
  • Experience working in Agile and DevOps environments.
  • Proficiency in one or more of Rust, C#, or JavaScript.
  • Experience with test automation frameworks such as Playwright or Selenium.
  • Experience with performance and load testing tools such as k6, Gatling, or JMeter.
  • Experience with Docker and Kubernetes for test environment provisioning and scalable test execution.
  • Experience with infrastructure-as-code tools such as Terraform, Pulumi, or Bicep.
  • Familiarity with authentication and authorization mechanisms such as OAuth 2.0, OIDC, and SAML.
  • Experience using observability tools such as OpenTelemetry, Datadog, or Grafana.
  • Familiarity with relational and non-relational data stores.
  • Experience with modern security testing practices, including vulnerability scanning and dependency analysis.
  • Broad knowledge of architectural styles and design patterns.

Interested in this position?

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