Senior Software Quality Engineer

Accountabilities

• Lead the design, development, and maintenance of scalable automated testing frameworks covering backend services, user interfaces, and other critical product components.

• Define and own end-to-end test strategy across services and features, ensuring testing coverage aligns with product objectives, technical risks, and reliability expectations.

• Collaborate with engineering and product teams throughout the development lifecycle to establish quality standards, improve testability, and identify potential issues before implementation.

• Participate in architecture and design reviews, providing guidance on testability, system reliability, edge cases, and failure scenarios before code is written.

• Integrate automated test suites into CI/CD pipelines using tools such as GitHub Actions, Jenkins, or equivalent platforms to deliver fast and actionable feedback on code changes.

• Conduct exploratory testing to uncover usability problems, unexpected behaviors, edge cases, and regressions that automated tests may not detect.

• Apply AI-assisted workflows to review pull requests and design documents, develop test plans, generate test cases, and improve automation efficiency while independently validating results.

• Investigate complex backend, infrastructure, and distributed-system issues through systematic debugging, root-cause analysis, and collaboration with relevant engineering teams.

• Manage quality initiatives across multiple projects in a dynamic environment, balancing shifting priorities while maintaining rigorous testing standards.

• Advocate for continuous improvement in test automation, development workflows, and quality practices to support rapid delivery without compromising product reliability.

• Contribute to testing approaches for Kubernetes-based infrastructure and tenant-isolation environments as applicable.

• Help establish and scale QA practices that support product growth, operational resilience, and dependable customer experiences.

Requirements:

• At least 7 years of professional experience in quality assurance, software testing, or test automation, including 2 or more years working at a senior or staff level.

• Strong hands-on programming skills in at least one of the following languages: Go, Python, or JavaScript, with experience building and maintaining automation frameworks and testing tools.

• Proven experience designing and owning test strategies across complex software systems, including automated testing for backend services and user interfaces.

• Strong understanding of CI/CD practices and practical experience integrating automated testing suites into pipelines using GitHub Actions, Jenkins, or comparable tools.

• Regular experience using AI-powered tools to support software quality activities, such as code and design reviews, test planning, and test automation, with the ability to critically evaluate and verify AI-generated output.

• Working knowledge of Kubernetes environments and distributed systems, or the ability to develop this expertise quickly.

• Excellent analytical, troubleshooting, and debugging skills, particularly when investigating backend services, infrastructure components, and complex system behavior.

• Strong written and verbal communication skills, with the ability to explain technical risks, influence engineering decisions, and collaborate effectively with product and engineering stakeholders.

• Demonstrated ownership, initiative, and accountability, including the ability to identify problems independently and drive solutions through to completion.

• Ability to thrive in a fast-paced startup environment, navigate ambiguity, manage competing priorities, and maintain attention to detail while working across several projects.

Preferred qualifications:

• Experience testing Kubernetes tenant clusters, tenant-isolation architectures, or similar multi-tenant infrastructure environments.

• Previous experience establishing or leading QA practices at a startup during a period of rapid product development or organizational growth.

• Interest in cloud infrastructure, open-source technologies, and platforms supporting AI and other demanding computing workloads.

Benefits:

• Competitive compensation: A competitive salary package with equity participation.

• Health and insurance coverage: Health, dental, vision, and life insurance, with coverage for eligible dependents where available. Benefits vary by country.

• Flexible working hours: A results-oriented environment that accommodates personal commitments and supports work-life balance.

• Remote-work flexibility: A distributed working model with flexibility in where and how work is performed, subject to applicable employment arrangements.

• Meaningful technical ownership: The opportunity to shape quality strategy, influence architecture, and build testing systems that support mission-critical infrastructure.

• Growth and development: Opportunities to expand expertise in test automation, Kubernetes, distributed systems, AI infrastructure, and AI-assisted engineering workflows.

• Collaborative culture: Work alongside technical teams that value initiative, accountability, knowledge sharing, and practical problem-solving.

• Innovation and open-source exposure: Contribute to evolving infrastructure technologies and help establish quality standards for a rapidly developing technical landscape.

• High-impact environment: Play a direct role in improving product reliability and helping engineering teams deliver dependable software at scale.