Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Title And Summary
- Senior Python/Go Engineer
- Senior Software Engineer
Overview
We are looking for a senior 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. Headquartered in The City of London, we craft bespoke services that help our clients gain an understanding of the underlying criminal behavior that drives financial crime, empowering them to take action.
Role
- Take personal responsibility for creating and maintaining microservices, primarily in Golang.
- Iterate design and build to solve bugs, improve performance, and add new features.
- Containerize your services and make ready for deployment onto a k8s environment using helm charts.
- Ensure resilience and reliability of services.
- Develop 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, based in central London, and the expectation is that you attend the office according to Mastercard policy, including team days, which are currently on Monday and Thursday.
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.
- 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 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 and enterprise 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 of optimizing solution performance with a constrained set of technologies.
- You have experience or are keen to engage with productionizing machine learning technologies.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks come 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:
- 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.
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.