Software Engineer, Data Platforms

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? In this role, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. 

We are seeking Software & Data Engineers who are passionate about marrying data with emerging technologies. You’ll have the opportunity to be on the forefront of building a modern enterprise data platform that powers over $60 billion in annual transaction volume for over 100 million active payment cards for one of the largest credit card issuers in the world. 

Basic Qualifications:

• Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum of 5 years of software development experience, with a proven track record in designing, developing, and maintaining enterprise-grade applications.
• Real-world experience in designing and implementing GraphQL APIs, including schema design, resolvers, and performance optimization.
• Extensive knowledge of at least one server-side programming language (e.g., Java, Python, Go).
• Solid understanding of database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB), including schema design, query optimization, and connection pooling.
• Understanding of microservices architecture principles, patterns, and best practices.
• Experience with cloud services (AWS preferred), including serverless architectures, container orchestration (e.g., Kubernetes), and cloud-native development practices.
• Familiarity with security best practices, including OAuth, JWT, data encryption, and secure coding principles.
• Experience with CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.
• Strong understanding of agile methodologies, including Scrum or Kanban.
• Ability to work effectively in a team environment, collaborating with other engineers, product managers, and stakeholders.
• Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with Rust: experience in developing with Rust for performance-critical backend systems is highly desirable.
• Master’s or higher in Computer Science, Information Systems, or a related field.
• Data Engineering experience including ETL processes, data warehousing, and big data technologies (e.g., Hadoop, Spark).
• Experience with RESTful API design and development alongside GraphQL.
• Familiarity with machine learning algorithms and practices is a plus.
• Prior experience in the financial services industry, particularly with regulatory and compliance standards (e.g., GDPR, SOX, PCI-DSS), is highly valued.
• Leadership Experience: Experience leading projects or mentoring junior engineers.