Job Title:

Lead Golang Engineer

Overview:

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

We are looking for a Lead Software Engineer to join an award-winning team with a proven track record of combining cutting edge 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 environments.
• 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.
• Own feature engineering within the team, collaborating with a separate data science to understand and implement their requirements.
• Bridge the gap between architecture and engineering, work alongside product architects to align with software design.

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 high quality 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 built on Kafka and Kubernetes
• 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 combined with large scale feature engineering.