Key Responsibilities
Lead the design, implementation, and evolution of scalable test automation frameworks, quality infrastructure, and testing architecture.
Define and drive the strategic vision for quality engineering, aligning automation initiatives with business objectives and product roadmaps.
Champion AI-assisted testing practices and leverage emerging technologies to improve quality, efficiency, and release velocity.
Partner with Engineering, Product, and Platform leaders to establish quality priorities, governance, and release confidence measures.
Drive root cause analysis of complex production and test failures, identifying systemic quality risks and remediation strategies.
Advance observability, monitoring, CI/CD quality gates, and release validation processes across cloud-native architectures.
Mentor and provide technical leadership to SDETs and QA engineers.
Lead modernization efforts to reduce test debt, improve tooling, and enhance productivity across development teams.
Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, or related field.
8+ years of software development and test engineering experience including technical leadership.
Strong computer science fundamentals including data structures, algorithms, and design patterns.
Deep expertise designing scalable automation frameworks for distributed systems and microservices.
Hands-on experience with AWS, Azure, or GCP.
Extensive experience with unit, integration, end-to-end, performance, and load testing.
Strong debugging and observability experience.
Excellent communication and stakeholder management skills.
Preferred Qualifications
Proficiency in Python, JavaScript, C#, or Rust.
Experience implementing AI-assisted testing solutions.
Strong understanding of OAuth 2.0, OIDC, and SAML.
Experience with Docker and Kubernetes.
Experience with Terraform, Pulumi, or Bicep.
Knowledge of security testing, vulnerability scanning, and threat modeling.
Extensive experience with CI/CD platforms and automated quality gates.
Familiarity with relational and non-relational databases.
Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.