Director of Quality Engineering

Director of Quality Engineering Define the future of quality in AI-led engineering. Lead global teams, set the standards for human + AI code, and build the systems that protect millions in payments at a fast-scaling SaaS leader. About Eftsure Eftsure is a fast-scaling SaaS (Software-as-a-Service) Fraud Technology platform that protects the B2B payments of Australian businesses by providing real-time vendor (supplier) verification and real-time payment protection. In a world of explosive and evolving cybercrime and payment fraud, we ensure our customers never pay the wrong people! Our vision is to be the Security Standard for B2B payments with continual platform evolution and international expansion. Our mission is to support the Australian business community to transact securely. We are looking for a Director of Quality Engineering to join our growing team. Role Summary You'll define, build, and govern quality across Eftsure's technology organisation as we transition to AI-led software development. This is an engineering leadership role with a quality mandate rather than a QA management role, and not a test-automation role. You'll own the governance framework, the CI/CD quality gates, and the standards by which both human-written and AI-generated code are validated. You'll lead a distributed team across Sydney, Cape Town, and Lyon, reporting directly to the CTO and sitting peer-level with our other Directors of Engineering. That reporting line is deliberate - quality has equal say in how we build, and the independence to push back when it needs to. This is a hybrid role based in North Sydney, Australia. Candidates must live within commuting distance of the office and possess valid Australian work rights. Responsibilities • Set the standards for how AI-generated code and tests are reviewed and validated. Our engineers use AI tooling every day; nobody in the industry has clearly worked out what this looks like yet, and we want you to be a part of doing so for Eftsure. • Design and run the quality gates in our CI/CD pipelines. You lay down the rules for deciding what's good enough to reach production, whether it was written by an engineer or generated by AI. • Move the function from running tests to assessing risk, focusing the team's effort on where the real exposure is and impact is greatest, not just where the test coverage is easy. • Lead a team of QA Engineers across Sydney, Cape Town and Lyon, and help them grow from running automated tests into doing quality analysis and validating AI output. • Decide on our next evolution of measuring and reporting quality, production incidents, MTTR, coverage that actually matters. • Recommend what the team should look like for the next phase. You won't inherit anyone else's plan, rather, an incredible bunch of dedicated and skilled people to work with. Who this role is perfect for • Your progressed as a Software Engineer and moved into quality by choice so you read and write some code and hold your own with senior engineers on architecture, not just test strategy. If your career ran Test Analyst → Test Lead → Test Manager without an engineering foundation, this isn't the fit. • You've personally built or governed AI-assisted development workflows. Designed how agents produce and validate production code and dealt with the failure modes first-hand. Opinions about AI, certifications, or experience with AI-powered test tools won't be enough. • You understand testing and quality are different: testing verifies code does what it's told; quality ensures software does what the user needs. • You're comfortable being the person who slows things down when they need slowing down, and you can translate quality risk into plain business terms. • You are a a clear, direct communicator who can translate quality risk into business language and back again. • You’re someone who has led across multiple teams or products. Experience & Qualifications • 10+ years in software engineering, with at least 2 in quality engineering, quality architecture, or a senior role with significant quality ownership. • Demonstrated understanding of working with or governing AI-assisted development workflows. • Experience designing CI/CD quality gates and automated testing frameworks. • A degree in a relevant field is an advantage but it is not at all required, a track record takes precedence. Department Engineering Locations North Sydney Remote status Hybrid