Senior Risk Software Engineer

Job Description

About the Team/Role

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.

We are looking for a highly motivated and high potential Senior Engineer to join our Risk Engineering team to make big business impacts and grow your career.

This is a really exciting time to be in Risk Engineering at WEX. WEX has sophisticated products empowering a wide variety of customer businesses. Risk Engineering develops products that are fundamental to Wex's short and long term strategic growth while ensuring industry compliance and transactional security using sophisticated anti-fraud systems. We develop systems using the latest technologies and deployment strategies. These include leveraging big data for analytics and AI/ML modeling, event-driven and containerized microservice architectures, as well cloud and kubernetes deployments and orchestrations.

We have challenging problems with huge business impact potential for you to lead, work on and grow. We also have a strong team with highly talented and skillful engineers and leaders to support, guide, coach you.

If you dream to be a strong engineer who can solve tough problems, lead, generate big impacts, and grow fast, this is a great opportunity for you

How you'll make an impact

• Collaborate with partners and stakeholders to learn about our customers' business and key challenges.
• Design, code, test, deploy, and monitor sophisticated processes in a cloud based architecture
• Effectively develop and maintain CI/CD automation using tools such as GitHub Actions, Jenkins, Azure DevOps, etc.
• Implement Infrastructure as Code (IaC) using tools like Terraform, including provisioning and managing cloud-based data infrastructure.
• Perform software development with TDD and BDD, Microservice and event oriented architectures.
• Analyze data, existing systems and processes independently to effectively identify bottlenecks and opportunities for improvements.
• Mentor and learn from your peers, foster continuous learning of new technology within your team and organization.
• Help in interviews and provide quality and timely feedback.
• Strong at our team's process and best practices, and apply them to given tasks with help from peers and your manager. Proactively understand customer/business problems you try to solve with these tasks, and your design and implementation can actually solve these problems in an effective, reliable, and sustainable way.
• Partner with, assist, or lead team members in development and problem solving.
• Lead a scrum team with proper agile development practices, and ensure the high quality and timely development and delivery that solve target problems effectively.
• Own medium to large complex components or systems/products/platforms.
• Participate and lead technical discussions.
• Design and build high quality and efficient systems with craftsmanship.
• Independently & productively complete work at medium/large complexity level and proactively seek reviews from senior engineers on your work to ensure high quality
• Proactively identify and communicate dependencies.
• Proactively review work from peers and provide constructive feedback/comments.
• Build reliable, secure, high quality, efficient, and easy to use big data platforms and tools at scale for supporting all kinds of data transferring, ingestion, processing, serving, delivery, consumption, and data governance needs.
• Build systems, platforms, data pipelines, and tools for E-2-E data life cycle, including data ingestion, cleaning, processing, enrichment, optimization, and serving by leveraging the Data platform. It's our responsibility to deliver high quality, rich, easy to understand & use data for external and internal purposes. For these, you will build data quality measurement & monitoring techniques and systems, metadata and data catalog, Master Data Management, etc.
• Become a subject matter expert in your functional area and best practices.
• Assess unique circumstances and apply creative problem-solving techniques to resolve issues or suggest various approaches.
• Use data and/or AI technology or tools in your design and development for high productivity and better solution quality.

Experience you'll bring

• Bachelor's degree in Computer Science, Software Engineering, or related field.
  
  OR demonstrable equivalent deep understanding, experience, and capability.
• Master or PhD degree in Computer Science (or related field) and good experience in software engineering orstrong experience in software engineering at a large scale.
• Strong problem-solving skills, excellent communication and collaboration skills.
• Highly self motivated and eager to learn. Continuous growth and upskilling mindset. Always learning. Always growing.
• Rich experience in designing a high quality, performant, and efficient solution for a medium/large complex level problem.
• Rich experience and good understanding of CI/CD automation.
• Experienced in combined engineering practice and agile development.
• Rich experience and strong implementation skills using languages like Java, C#, or Golang including coding, automated testing, measurement and monitoring. Experienced in TDD approach.
• Good understanding of data processing techniques, such as data pipeline/platform development, SQL, and DBs
• Experienced in cloud technology, such as AWS and Azure.
• Passionate about understanding and solving customer/business problems.