Senior QA Engineer Quality Engineering & Automation

About The Company Founders today are building global companies from day one but the systems that manage their money were built for a different era. Aspire exists to change that! Were building the financial operating system for global founders, bringing banking, software, and automation into a single platform so businesses can move faster across borders and stay focused on building. Aspire is built by people who think from first principles, care deeply about solving hard problems, and take real ownership of their work. Our team brings global experience from leading fintech and technology companies, and many of us are former founders and operators who understand what it takes to build thoughtfully, make trade-offs, and deliver at scale in a global environment. Backed by leading global investors including Y Combinator, Peak XV, and Lightspeed, Aspire has been trusted by more than 50,000 startups and growing businesses worldwide to manage their finances since 2018. Together with partners like J.P. Morgan, Visa, and Wise, were building for the next generation of global companies. About The Role AI is redefining what quality engineering can do. The best engineering teams have already moved on from manual test cases and long regression cycles. Tests are generated by agents. Coverage gaps are caught before code merges. Quality is enforced by the system not by a human at the end of the pipeline. Aspire is building that future now. We have a merge guardrail in production that reads live product specs and blocks PRs before gaps ship. Were actively building an LLM pipeline to automatically generate tests from specs, and a live traceability matrix that keeps specs, code, and test results permanently in sync. The foundation is real. The most significant capabilities are being built right now. Were NOT hiring a traditional QA engineer. Were not looking for someone to execute test cases, own a regression checklist, or sit downstream of engineering waiting for a build. Were hiring a quality engineer with the same ambition as our roadmap someone who has already started building with AI, sees where this is going, and wants to be one of the people who gets us there. What Youll Own The AI test generation pipeline. Were building an LLM pipeline that takes a product spec and produces automated tests no manual authoring, no handoffs. Youll drive it from POC to production: designing the context that ensures accurate generation, engineering prompts that hold up at scale, and validating output against live test results. When this works, it permanently changes what QA at Aspire looks like.The merge guardrail. Its live. It reads the product spec at PR time and blocks the merge if coverage is missing or a critical bug is detected before a line reaches production. Most teams havent built this. Your job is to make it sharper: improve its accuracy, extend it across all engineering tribes, and connect it to the generation pipeline so it creates missing tests rather than just blocking for them.Automation that engineers actually trust. A suite that cries wolf is worse than no suite at all. Youll drive reliability through synthetic test data, smarter failure classification, and risk-based test selection. Every alert should mean something.Quality ownership for your domains. Not execution. Ownership. You understand the spec, the code, and exactly what breaks when something goes wrong. Youre in the design conversation, not the post-release retrospective. In a regulated fintech handling real money for 50,000+ businesses, a quality gap is not a process failure its a customer failure.Security regression in CI. Auth misconfigurations in fintech reach customers before anyone notices. Youll build automated security regression tests across our highest-risk API endpoints so every auth boundary is verified at merge, every time. MAS Singapore requirement. Yours to build from scratch. What Were Looking For Youve shipped with AI and learned from it. Not a tutorial. Not a plan. Something that ran an automation, a tool, an LLM workflow that replaced real manual work. It doesnt have to be large. It has to be real. You hit the failure modes, you worked around them, and you can talk about what youd do differently. Thats the bar.Youre an engineer who happens to specialise in quality. You build frameworks and pipelines, not just test cases. You read backend code and API contracts to find what needs testing. You trace failures to root causes in the application, not just the test.You hold quality to a high standard and it shows. A flaky test offends you. A coverage gap that ships to production is a failure you want to understand and prevent. You fix root causes, not symptoms.You move without waiting. You identify the problem, form a hypothesis from the data, and come with a proposed fix. You dont raise a flag without a solution. You dont wait to be assigned the work.Youre excited by the roadmap, not intimidated by A