Engineering Manager
Paystack
Posted: May 15, 2026
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Quick Summary
The Engineering Manager role involves overseeing the development of the Paystack engineering team, ensuring the successful deployment and maintenance of the company's online payment gateway.
Required Skills
Job Description
About Paystack
Paystack’s mission is to accelerate digital payments on the continent of Africa. Over 200K of some of the most renowned businesses in Nigeria, as well as a growing number of merchants in South Africa, Ghana, and Kenya use Paystack’s modern payments gateway. They include the likes of Qatar Airways, MTN, Burger King, UPS, AXA Mansard Insurance, FilmHouse Cinemas, Smile Communications, Air Peace Airlines, Crocs, Under Armour, Richemont Lifestyle Group (RLG), and many others.
In just over 10 years, our growing team has introduced a steady cadence of innovation within the online payments landscape, such as automated recurring payments, the ability for customers to pay directly from their bank accounts, automated chargebacks, and much more. We’ve been acquired by Stripe and are doubling down on the mission to help build out Africa’s payments infrastructure.
Paystack builds technology to help Africa’s best businesses grow - from new startups, to market leaders launching new business models. We make it easy for businesses to accept secure payments from multiple local and global payment channels, and then we provide tools to help you retain existing customers, and acquire new ones.
You will be expected to:
• Lead and inspire talented engineers in an agile development environment to innovate, implement, and deploy and own end-to-end complex software solutions in a commercial, mission-critical environment for millions of customers
• Develop and grow engineering talent through effective mentoring, coaching, and retention strategies in a fast-growing, highly competitive economic environment
• Manage planning and execution to successfully deliver value to our customers
• Promote knowledge sharing and collaboration between teams.
• Work on cross-team initiatives to improve the applications and system.
• Work in a cross-functional team to design, build and deliver new features for our systems.
• Strive to reduce complexity of the systems.
• Create awareness of engineering efforts and achievements.
• Partner with product and other stakeholders to drive success.
The ideal candidate for this role will have:
• 8+ years of experience building and working on cutting edge solutions that scale for millions of customers.
• 3+ years of experience building and managing high-performance engineering teams.
• Solid experience with development CI/CD, Automation, Testing and Deploying large systems.
• Experience leading cross-functional teams of multidisciplinary engineers
• Solid experience of building systems using a variety of different architectures.
• Ensures quality, performance, monitoring, alerting and security using best practices
• Proven history as an experienced engineer.
• A passion for building products to help African businesses.
• A proactive approach to solve a problem before it has occurred.
• Mentorship - ability to successfully transfer knowledge
• Extensive knowledge of object-oriented programming, design patterns, data structures, and best practices.
• Solid experience with build tools.
• Solid experience with source control, like Git.
• Hands-on experience in writing unit, integration and UI tests.
• High analytical thinking to tackle complicated issues.
• High-quality working standards with a clear structured approach.
• Takes full ownership and responsibility for organizational practices and processes.
• Strives to continuously improve the systems and processes.
• Proven experience of empowering teams with AI-assisted software engineering.
Beneficial
• Bachelor’s degree in Computer Science, Engineering, or a related field might be beneficial but not required
• Experience in the fintech industry or with payment processing systems
• Knowledge of cybersecurity best practices and compliance requirements (e.g., PCI DSS)
• Experience with machine learning and data analytics.
Soft Skills
• Impeccable problem-solving and analytical abilities
• Effective communication and collaboration skills
• High agency and the ability to work independently
• Adaptability and willingness to learn new technologies and tools