M
Mastercard
Director of Software Engineering
Skills
AIWorkday
2 months ago
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Important information
Contract type:
Permanent
Location:
London, UK
Work mode:
Onsite
Published on:
29 August 2026
What they need
- Leads teams to identify and solve complex engineering challenges across technology, process, and ways of working. Drives improvements in software delivery, quality, and reliability by applying strong engineering fundamentals across teams, tools, and domains
- Lead the definition and delivery of cross-team initiatives that address systemic engineering challenges and improve productivity, quality, and operational performance
- Partner with engineering leaders to identify gaps and opportunities across the software development lifecycle, and drive effective, pragmatic solutions
- Define and evolve engineering practices, standards, and ways of working, ensuring strong application of core software engineering principles
- Work across teams, technologies, and domains to guide solution design and delivery, balancing immediate needs with long-term maintainability and scalability
- Build targeted tooling, environments, and capabilities where needed to enable teams, while leveraging and extending enterprise frameworks
- Lead a team of specialist engineers and leaders, ensuring strong technical depth, clear ownership, and continued capability growth
- Drive adoption of effective engineering practices using data and metrics to improve delivery outcomes and system performance
- Manage resources and priorities across multiple initiatives, ensuring focus on highest-impact outcomes
- Influence senior stakeholders and align teams to deliver consistent engineering approaches and continuous improvement- Bachelor’s degree or equivalent experience
- Strong grounding in software engineering principles, system design, and modern development practices
- Proven ability to solve cross-cutting engineering problems spanning technology, process, and organisation
- Experience contributing to technology direction and adoption of modern capabilities, including AI-supported development
- Experience leading engineering teams or specialised functions in complex environments
- Experience working across multiple technologies, systems, and domains
- Data-driven decision making using engineering and operational metrics
- Excellent communication skills, including engagement with senior stakeholders
- Strong technical judgement across a broad range of technologies and domains
- Ability to coach and develop senior engineers and technical specialists
- Deep understanding of software engineering fundamentals and delivery practices
- Ability to work effectively across teams without direct ownership, influencing outcomes through expertise and collaboration
- Strong problem-solving and critical thinking skills applied to complex engineering challenges
- Working knowledge of AI tools supporting software development and engineering productivity
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