QA Engineer (Java, Kotlin)

About the role

Responsibilities

• Build testing frameworks and transition existing systems to new technologies
• Design and upkeep tools for QA engineers, ensuring the reliability of testing infrastructure
• Monitor and maintain the testing infrastructure, including alerting systems for timely issue detection
• Develop strategies and metrics for manual testing, and document test cases for internal and external testers
• Track quality metrics in Tableau and automate routine tasks using tools like Zapier, Jira Automation, and ChatGPT
• Work with TechOps and other teams to implement quality management processes and improve testing workflows

Qualifications

• 3+ years as a QA Automation Engineer and 1+ years in mobile app testing (iOS and Android)
• Proficiency in automated testing systems (e.g., Appium, Kotlin, Java, Selenium) and familiarity with client-server principles
• Hands-on experience with Android/iOS testing, including emulators, traffic sniffing, and OS-specific testing
• Competency in API testing (e.g., Postman), database operations (CRUD), and basic command-line tools (bash/zsh)
• Strong teamwork and familiarity with TMS (e.g., TestOps), Jira, Slack, Git/Github

Benefits

• Help us challenge injustice by creating fair choices for millions of people across 47 countries.
• Develop your professional skills with access to mentoring, career consulting, and learning programs.
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
• Work alongside people who take initiative, speak openly, and challenge themselves to grow.
• Improve your language skills through co-financed courses and internal speaking clubs.

About TaxDome

How we work

About this role

What you'll be responsible for

• Own the automation testing track as Technical Product Manager, setting direction, prioritizing platform-wide initiatives, and directing the work of a dedicated SDET team through scoping, sequencing, and technical guidance, while driving adoption across clusters
• Define and evolve the automated validation strategy across backend, frontend, API, integration, and end-to-end layers, building validation architecture for a large monolith and satellite services ecosystem, and reducing dependency on fragile end-to-end testing through domain isolation, contract testing, and scoped validation
• Design quality gates for AI-assisted and agentic development workflows, enabling fast and reliable software delivery as teams adopt AI-driven build and review processes
• Partner with Staff Backend and Frontend Engineers on architecture decisions, making sure testability and delivery reliability are built into technical design from the start
• Improve CI/CD feedback loops and deployment confidence, tracking flake rate, coverage trajectory, and escape rate as primary quality signals, and leading initiatives on flaky test reduction, deterministic testing, and autonomous validation pipelines
• Provide high-level automation strategy direction for mobile, desktop, and WordPress platforms, while mentoring engineers and promoting engineering ownership of quality across the organization

What you bring

Must-have

• Strong hands-on software engineering background, with deep expertise in test automation architecture and CI/CD systems
• Experience working with large-scale monoliths and distributed systems
• Strong understanding of frontend, backend, API, and infrastructure testing, with a track record of improving delivery speed through testing architecture optimization
• Hands-on experience with AI-assisted development workflows and agent-based tooling
• Experience as a Technical Product Manager for an engineering track, scoping, sequencing, and prioritizing work for a team without formal people management

Nice-to-have

• Understanding of Kubernetes, cloud infrastructure, and deployment pipelines
• Familiarity with trunk-based development and spec-driven, AI-assisted engineering workflows
• Experience mentoring engineers and building a culture of engineering ownership of quality

What we offer

• Competitive compensation, paid in USD, transparently shared before the first interview
• Performance-based internal incentive plan
• Fully remote work with flexible hours
• 30 paid days off annually, plus sick days as needed
• Health & well-being support
• Learning & development budget to support your professional growth
• English lessons reimbursement
• Co-working space reimbursement
• Company-provided equipment (conditions may vary depending on the role)
• A high level of autonomy and ownership in your work
• The opportunity to make a real impact in a fast-growing global SaaS company
• A collaborative, international team with a strong product mindset

We’re looking for a Head of Quality Engineering to raise the bar for quality across our web, mobile, and desktop products.

This is a high-impact leadership role for someone who can shape a scalable quality engineering strategy, drive meaningful test automation, and turn quality into a measurable engineering discipline. You’ll work across teams, influence engineering decisions, and build processes and systems that help quality scale beyond the QA team. We’re looking for someone with strong technical expertise who can set the direction, guide implementation, and make informed trade-offs rather than being responsible for day-to-day hands-on execution.

We are actively integrating AI and automation into all areas of the business and are looking for candidates with a mindset focused on improving efficiency, automating repetitive processes, and delivering a better user experience.

• Own the company's test coverage trajectory (unit and end-to-end) and make it grow predictably as a managed metric, not as a side effect of individual enthusiasm
• Build the quality infrastructure and standards that let developers and AI agents write and run tests as a natural part of delivery. The role builds the instruments; engineering teams produce the tests
• Turn tests into real protection for the products: quality gates as the default state of every codebase, so broken changes stop reaching users
• Move releases, mobile first, from manual verification to automated confidence, so release cadence can grow without trading away quality
• Define how the company trusts AI-written code: the verification layer and acceptance standards for agent-driven development
• Grow the QA discipline and the QA engineers across all teams, in partnership with their team leads: shared standards, shared tooling, and a common bar for what quality engineering means at Muse
• Build and maintain the company-level quality roadmap together with the product team leads, and report progress and risks to engineering leadership

Proven impact: You have a track record of taking teams or organizations from having tests that provide limited protection to implementing automated testing that reliably gates releases. You can demonstrate the impact with measurable results, such as improved coverage, fewer escaped defects, faster release cycles, reduced flaky-test rates, or similar metrics.

Cross-platform automation: You have production experience across web, mobile, and desktop, with hands-on expertise in at least two and architecture or review-level experience in the third.

• Web: Playwright or equivalent at scale, with experience designing maintainable test architecture, parallelizing test execution, and systematically addressing flaky tests.
• Mobile: Maestro, Detox, Appium, or equivalent, with experience supporting release trains, staged rollouts, and reliable device/emulator CI.
• Desktop: Native applications across Windows, macOS, or Linux. Experience with visual regression testing is a plus; C++/Qt experience is an advantage.

Quality & CI/CD: You treat quality as an engineering metric. You have established quality baselines, tracked meaningful trends, and validated that automated tests effectively detect defects through mutation testing or equivalent practices. You have operated large automated test suites as real CI/CD gates, balancing required checks, branch protection, test reliability, and feedback speed.

AI-assisted engineering: You have hands-on experience with AI-assisted coding and test generation using tools such as Claude Code, Cursor, or similar. You understand where AI-generated tests provide meaningful protection and where they may simply increase coverage without improving confidence.

Leadership: You can grow and mentor engineers without relying on formal line-management authority. You have helped other engineers develop stronger automation skills and can demonstrate this impact. You are comfortable defending quality decisions using data and clearly articulating trade-offs, including when to block a release and when the level of risk is acceptable.

English: Upper-Intermediate or higher.