Title and Summary

Lead Software Engineer (Microservices, GO, Cloud, kubernetes, docker)

We are looking for a Lead Software Engineer to join an award-winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid 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.

Role

Establish and enforce best practices for microservices architecture, ensuring scalability, reliability, and maintainability of our solutions.

Collaborate with cross-functional teams to define project requirements and deliver scalable solutions.

Mentor team members on microservices design principles, patterns and technologies.

Take personal responsibility for creating and maintaining microservices, primarily in Golang.

Iterate design and build to solve bugs, improve performance, and add new features.

Containerise your services and make ready for deployment onto a k8s environment using helm charts.

Ensure resilience and reliability of services.

Develop a complete understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code.

Write tests with high coverage including unit, contract, e2e, and integration.

Version control code with git and build, test and deploy using ci/cd pipelines.

Build and test remotely on your own machine and deploy to low-level envs.

Review team members code, identifying errors and improving performance and readability. Drive code design and process trade-off discussions within team when required.

Report status and manage risks within your primary application/service.

Perform demos and join acceptance discussions with analysts, developers and product owners.

Assist in task planning and review as part of a sprint-based workflow.

Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements.

The role is hybrid, and the expectation is that you attend the office according to Mastercard policy.

All About You

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 detail oriented and enjoy writing and reviewing code to a high standard with tests to prove it.

Demonstrable ability to write Python/Golang and SQL in a production context. You are happy to learn new programming languages and frameworks as necessary.

Experience with large volumes of data and high throughput, low latency solutions.

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.

You have experience in resolving different solutions and approaches to problems and can choose between pragmatic and rigorous solutions depending on the situation.

You are comfortable working in a devops-based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success.

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.

#AI3

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.