Software Engineer, Risk - Level 2

Software Engineer, Risk - Level 2

Company Overview

WEX is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including big data, AI, and Risk.

Position Summary

We are seeking a highly motivated and high-potential Mid-Level Engineer to join our Risk Engineering team. This is an exciting opportunity to make a significant impact on the business and accelerate your career growth.

The Risk Engineering team at WEX plays a critical role in building platforms and technology to manage and mitigate risk across various domains, including credit risk, financial crimes, fraud detection, and collections. We empower a variety of customer businesses with sophisticated products while developing and implementing robust risk strategies and controls to protect our customers and the company from potential losses.

We leverage advanced technologies, including modern big data technologies and AI, to ensure our efficiency and effectiveness. Our development teams utilize agile methodologies with a combined engineering approach and the product operating model.

Join a strong team of highly talented and skillful engineers and leaders within Risk Engineering. We tackle challenging problems with a significant business impact, providing you with ample opportunities for professional growth.

If you aspire to become a strong engineer who can solve complex problems, generate significant impact, and rapidly advance your career, this is an excellent opportunity for you!

Responsibilities:

• Design & Development:

  • Design, develop, test, and deploy new features and functionalities for our microservices platform at a small to medium level of complexity.

  • Focus on building robust and scalable microservices, including defining service boundaries, choosing appropriate communication protocols, and implementing service discovery.

  • Leverage and contribute to our CI/CD pipelines, including implementing Infrastructure as Code (IaC) using tools like Terraform.

  • Practice agile development methodologies like TDD and BDD within a microservices and event-driven architecture.

  • Practice using data and/or AI technology or tools in solutions you design/develop for more effective business outcomes and better customer experience as well as in your design & and development work for high productivity and better solution quality.

  • Analyze data to understand risk problems and build effective solutions.

• Platform & Operations:

  • Support live microservices, including proactive monitoring, rapid incident response, and continuous improvement through automation.

  • Analyze system performance and identify bottlenecks and opportunities for improvement.

  • Build and maintain a platform for deploying, managing, and monitoring microservices, including tools for containerization (e.g., Docker, Kubernetes) and observability (e.g., Datadog, Splunk).

  • Implement and enforce best practices for microservices development, such as API gateways, circuit breakers, and service-level agreements (SLAs).

• Collaboration & Communication:

  • Collaborate effectively with partners/stakeholders to understand customer needs and business challenges.

  • Take strong ownership and be proactive.

  • Actively participate in technical discussions and code reviews with peers.

  • Mentor junior engineers and learn from senior engineers.

  • Foster a culture of continuous learning within the team.

• Engineering Excellence:

  • Develop and maintain tools and frameworks to support the development and testing of microservices (e.g., API documentation, testing frameworks).

  • Ensure all work adheres to team processes and best practices.

  • Eager to learn and explore new technology and innovative approaches to improve effectiveness and productivity. Bring the learnings to the team to grow together.

Key Considerations for a mid-Level Engineer:

• Strong foundation: A solid foundation in Computer Science and Software Engineering concepts, principles, and methodologies, and the ability to apply these to problem-solving.

• Independent Contribution: Independently complete work at a small/medium level of complexity with minimal guidance.

• Proactive Learning & Growth: Actively seek feedback from senior engineers and continuously learn and improve your skills.

• Problem-Solving: Demonstrate strong analytical and problem-solving skills to effectively address technical challenges.

• Communication & Collaboration: Communicate and collaborate effectively within the team and with other stakeholders.

Required Qualifications:

• Education: Bachelor's degree in Computer Science, Software Engineering, or a related field. (Master's degree or PhD in Computer Science or related field preferred, or 2+ years of relevant experience.)

• Technical Skills:

  • Strong problem-solving and analytical skills.

  • Excellent communication and collaboration skills.

  • Proficiency in object-oriented programming languages (such as Java, C#, Golang, or Python) with a strong understanding of TDD.

  • Experience with scripting languages, preferably TypeScript is a plus.

  • Experience with CI/CD automation.

  • Experience with building and deploying applications in cloud environments.

  • Familiarity with event-driven architectures, message queues (e.g., Kafka), and stream processing frameworks.

  • Understanding of microservices architectures, including concepts like service discovery, load balancing, and API gateways.

  • Experience with Salesforce API integration is a plus.

• Personal Attributes:

  • Highly self-motivated and eager to learn. Always watching out for new technologies and adopting appropriate ones for improving your productivities as well as the quality & effectiveness of your deliverables. E.g. proactively explore GenAI technology and tools for increasing your work productivity and quality, as well as building innovative products/systems for your customers.

  • Passionate about understanding and solving customer/business problems.

  • Proactive in exploring and adopting new technologies (e.g., GenAI) to improve productivity and quality.