Senior Software Engineer

Mastercard is hiring a Senior Software Engineer in London, United Kingdom. Level rates it ; you can apply on Mastercard.

Level's read on this job

Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
Level classifies it as a senior role.
Level lists 1,100+ other open roles at Mastercard.
The role was posted in the last few days.

AI in this role

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Software Engineer

Responsible for the analysis, design, development, and delivery of software solutions. Defines requirements for new applications and customisations while adhering to Mastercard standards, processes, and best practices. Develops, tests, and integrates applications to Mastercard specifications, while providing leadership, mentoring, and technical guidance to team members.

Key Responsibilities
Solution Design & Development
• Design, develop, and implement technical solutions that meet business requirements while aligning with Mastercard standards and best practices.
• Evaluate and recommend alternative technical approaches to optimise performance, scalability, and maintainability.
• Select appropriate technical frameworks, architectures, and delivery methodologies.

Technical Leadership
• Lead day-to-day development and maintenance activities, ensuring service level agreements (SLAs) are met.
• Drive innovation, quality, cost-effectiveness, and speed to market.
• Mentor and guide team members throughout all phases of the Software Development Life Cycle (SDLC).
• Deliver technical training sessions and facilitate knowledge-sharing activities.

Software Development Lifecycle (SDLC) Ownership
• Take ownership of the full SDLC, including:
o Requirements gathering and documentation
o Solution design and technical specifications
o Test strategy and test design
o Performance benchmarking
o Deployment and release planning
o Rollback and contingency planning
o Cost, effort, and timeline estimation

Operational Support & Incident Management
• Perform system maintenance and production support activities.
• Investigate incidents, identify root causes, and implement long-term solutions.
• Participate in on-call support rotations and pager schedules as required.

Technology & Innovation
• Research, evaluate, and recommend emerging technologies, frameworks, and industry best practices.
• Participate in Proofs of Concept (PoCs) to assess new technologies and vendor solutions.
• Contribute to technology roadmaps and strategic technical planning.
Stakeholder & Vendor Collaboration
• Work closely with internal stakeholders, cross-functional teams, and external vendors.
• Coordinate offshore development teams and manage day-to-day delivery activities.
• Ensure effective knowledge transfer from vendors to Mastercard teams.

Quality Assurance & Governance
• Champion quality assurance and quality control processes across the development lifecycle.
• Ensure comprehensive test coverage across:
o Unit Testing
o Integration Testing
o System Testing
o Performance Testing
• Conduct:
o Requirements Reviews
o Design Reviews
o Code Reviews
o Security Reviews
• Promote continuous improvement of development standards, processes, and engineering practices.

Qualifications
• Bachelor's degree in Computer Science, Information Technology, Information Systems, Engineering, or equivalent practical experience.
Experience
• 5+ years of hands-on software development experience using Java and Spring Framework.
• Experience developing secure, enterprise-scale solutions.
• Previous experience within the Financial Services sector is preferred.
• Strong understanding of software engineering principles, methodologies, and best practices.

Technical Skills
• Java
• Spring Framework
• Software Architecture & Design
• Secure Software Development
• System Integration
• SDLC Management
• Performance Optimisation
• Production Support & Incident Management
Professional Skills
• Strong analytical and problem-solving capabilities.
• Excellent verbal and written communication skills.
• Ability to work effectively with geographically distributed and matrixed teams.
• Strong stakeholder management and collaboration skills.
• Self-motivated with the ability to work independently and under pressure.
• Continuous learning mindset with a willingness to take on complex challenges.

Leadership Expectations
• Mentor and develop junior engineers.
• Drive engineering excellence and continuous improvement.
• Foster collaboration, knowledge sharing, and innovation across teams.
• Lead by example in demonstrating Mastercard engineering standards and best practices.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

How we rate this

Senior Software Engineer at Mastercard rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.