Head of (Software) Engineering (f/m/d)

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Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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.

Manager, Software Engineering
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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.
Manager, Software Engineering
We are looking for an experienced Software Engineering Manager to lead our growing team of talented software engineers enabling Financial Institutions in their fight against money laundering and fraud. We craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action.
As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle, through individual contribution and team leadership.
Lead and manage a team of software engineers, providing guidance, and support to help them reach their full potential.
Collaborate with cross-functional teams to define project requirements, scope, and timelines.
Oversee the software development lifecycle, from planning, and design to implementation.
Effectively lead sprint ceremonies, facilitate discussions, prioritize tasks, and drive consensus among team members during planning sessions.
Identify and address technical debt, and performance bottlenecks, and maintain the stability of our solutions.
Ensure that production code meets high engineering standards i.e. high test coverage, e2e tests.
Review teams code, identifying errors and improving performance and readability. Regularly update stakeholders and senior management on project status, risks, and opportunities.
Evaluate employee performance, and set expectations and goals for direct reports.
Iterate design and build to solve bugs, improve performance, and add new features.
Report status and manage risks within your primary application/service.
Work with a large range of stakeholders to collect requirements and prioritise tasks (product manager, project management, analysts) build services (software engineers, testers) and deploy (devops, bizops, product ops).
The role is hybrid, and the expectation is that you attend the office according to Mastercard policy.
First and foremost, you enjoy building products to solve real, pressing problems for your customers. You enjoy working in a team and have an interest in data science and how advanced algorithms may be deployed as product offerings.
You are experienced in team leadership and project delivery and adept at prioritising your own workload, alongside that of your teams
Experience leading and mentoring a team of software engineers to deliver high-quality solutions
Proficiency in software development, methodologies, and best practices.
Fundamentally grounded in agile methodologies, specifically SCRUM.
Demonstrable ability to write high quality Python/Golang and SQL in a production context. You are happy to learn new programming languages and frameworks as necessary.
You have experience with, and are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs, and in-memory/NoSQL stores.
Experience in building scalable distributed solutions.
Experience with large volumes of data and high throughput, low latency solutions built on Kafka and Kubernetes.
Can ask the right questions to evaluate the strengths and weaknesses of designs (scalability, latency, security, performance, data integrity, etc.)
You may have domain knowledge in payments, fraud, anti-money laundering, and machine learning.
You are comfortable communicating with a range of stakeholders, including subject matter experts, data scientists, software engineers, DevOps and security professionals.
You have the ability to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale-up stage software engineering.
You have experience optimising solution performance with a constrained set of technologies.
You have experience or are keen to engage with productionising machine learning technologies.
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 Mastercards security policies and practices;
Report any suspected information security violation or breach, and
Employment type Full-time

Job function Engineering and Information Technology
Industries Financial Services, IT Services and IT Consulting, and Technology, Information and Internet
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Location:
London
Job Type:
FullTime

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