Software Engineering Manager

Who you are

• Proven experience leading software engineering teams and delivering large-scale enterprise software solutions
• Strong technical background with experience designing distributed, highly available systems
• Demonstrated ability to balance hands-on technical leadership with people management responsibilities
• Experience managing product roadmaps, business priorities, engineering deliverables and technical risks
• Strong communication, collaboration and stakeholder-management skills
• Experience with Agile software development and modern engineering practices
• Passion for mentoring engineers and building high-performing teams
• Experience in payments, financial services, compliance, fraud, sanctions screening or risk management will be a great bonus
• Experience leveraging AI-assisted development tools, agentic workflows or intelligent automation solutions
• Experience operating services in regulated, security-sensitive environments
• Knowledge of cloud platforms, DevOps practices and modern observability tooling
• Bachelor’s in computer science, Engineering or a related discipline

What the job involves

• We are seeking a Manager, Software Engineering to lead the development and evolution of Mastercard's Sanctions Screening solutions
• These solutions help financial institutions assess sanctions risk for payment transactions in real time, supporting regulatory compliance, risk management and secure global payment processing
• This role is a hybrid of roughly 70% technical leadership and 30% people management
• The successful candidate will remain deeply involved in system solutioning, technical designs, engineering execution and continuous improvement on AI assist software development workflow while also building, mentoring and leading a high-performing engineering team(of 7 people now)
• Technical Leadership (70%)
• Own the technical direction, architecture and delivery strategy for the Sanctions Service platform, built in Java and C++ primarily
• Lead the design and implementation of scalable, reliable and secure software solutions meeting the common of enterprise standards
• Drive engineering excellence through design reviews, code quality, operational readiness and best practices
• Partner with Product, Architecture, Compliance and Operations teams to deliver business-critical capabilities
• Lead incident response, root cause analysis and continuous improvement initiatives
• Drive modernization efforts focused on scalability, resilience, cloud readiness and operational efficiency
• Serve as the senior technical escalation point for complex engineering and production challenges
• AI & Agentic Engineering
• Define and execute a strategy for adopting AI-assisted and agentic engineering capabilities across the software development lifecycle
• Leverage AI tools to improve software delivery, testing, operational support, documentation and developer productivity, focusing on achieve faster iteration on requirements gathering, specification elaboration and concepts validation
• Identify opportunities to automate engineering workflows and reduce operational overhead
• Establish guardrails and governance for responsible AI adoption, including security, transparency and human oversight
• Foster a culture of experimentation and innovation while maintaining strong compliance and risk controls
• People Leadership (30%)
• Lead and develop a high-performing team of software engineers
• Conduct regular coaching, career development discussions and performance management activities
• Create an inclusive, accountable and psychologically safe team culture
• Partner with recruiting to attract, retain and develop top engineering talent
• Drive planning, prioritization and execution of team roadmaps and delivery commitments
• Establish clear goals, expectations and ownership across the team
• What Success Looks Like:
• A high-performing engineering team with strong engagement, accountability and technical excellence
• Predictable delivery of secure, scalable and reliable Sanctions Service capabilities
• Successful adoption of AI-enabled engineering practices proven by industries that improve productivity and delivery quality
• Measurable improvements in platform resilience, operational efficiency and customer outcomes
• Strong alignment across engineering, product, compliance and operational stakeholders