P
HybridFull-timeManagerEngineering
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Paystack’s mission is to power African ambition. Over 300K businesses across Nigeria, South Africa, Ghana, and Kenya use Paystack’s modern payments gateway, including Qatar Airways, MTN, Burger King, UPS, Africa World Airlines, AXA Mansard Insurance, FairMoney, PiggyVest, Crocs, Under Armour, Richemont Lifestyle Group, and many others.
Over the last 10 years, we’ve built products that have helped shape online payments in Africa, from automated recurring payments to direct bank payments and automated chargebacks. Today, Paystack is part of The Stack Group (TSG), a family of technology brands building modern infrastructure across payments, banking, consumer products, and emerging technologies.
At Paystack, we hire talented people, treat them with genuine respect, and give them the space, resources, and support to do the best work of their lives. We’d love your help.
The Quality Engineering team is the standard-bearer and expert on how end-to-end tests are run across the Paystack platform. We design and maintain the infrastructure and tooling for repeatable, reliable testing; ensure essential use cases across all channels API, Dashboard, mobile, POS) are covered; and act as consultants and enablers who help every engineering team test effectively. As QA Lead, you will be the driving force behind our overall quality and automation strategy. You will lead a small, high-calibre team of QA and automation engineers, set the direction for how we test across the platform, and make sure the right tests, tooling, and environments are in place and running reliably. You will balance hands-on technical leadership with people leadership, and work closely with engineering leaders to align quality goals with the broader engineering roadmap. This is a full-time position.
Own and drive the overall quality and test automation strategy across the platform
Ensure the appropriate tests, tooling, infrastructure, and environments are in place and running reliably
Set standards for test architecture, frameworks, and test data management, and review them across products
Lead, mentor, and coach a team of QA and automation engineers, including regular 11s, hiring, and onboarding
Align the team's goals with overall engineering goals and prioritise work accordingly
Increase the visibility of quality by reporting on coverage, pipeline health, blockers, and impact to stakeholders
Partner with product and engineering leadership to embed testing earlier in the development lifecycle
Act as a consultant and enabler, giving teams the guidance they need to implement effective end-to-end testing
Represent Quality Engineering in cross-functional planning and technical design reviews
Extensive experience using modern test automation tools across web, mobile, and APIs
A track record of driving a QA and automation strategy at scale
Experience leading, mentoring, and growing QA and automation engineering teams
Strong interpersonal, project management, and organizational skills
Excellent written and verbal communication skills
The ability to articulate and drive sustainable processes
Sound judgement on where to invest testing effort for the greatest reliability and business impact
Experience in payments, fintech, or other high-reliability, high-scale domains
Familiarity with CI/CD gating, performance testing, and observability
Experience using AI to automate workflows and complete tasks more efficiently, and a habit of encouraging the team to apply AI wherever it can add value to how we work
Competitive compensation package and benefits
13th month bonus
TSG Equity compensation
Full medical coverage
Wellbeing stipend
Generous leave and sabbatical policies
Hybrid working environment
Smart, kind colleagues who are invested in your growth.
Paystack is an equal opportunity employer and prohibits discrimination and harassment of any kind. We’re committed to providing employees with a work environment that is progressive and open-minded. Our employment philosophy is to hire the best people and empower them to do the best work of their lives. Employment decisions are based on business needs and individual merit without regard to race, color, religion, ethnicity, sexual orientation, nationality, marital status, gender, or age.