AI Infrastructure Engineer

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. Our AI Infrastructure team is pivotal in enabling these advancements.

We are looking for a highly motivated and high-potential entry-level Engineer to join our AI Infrastructure team to make significant contributions to our cloud-based AI solutions and grow your career.

This is a really exciting time to be in the AI Infrastructure team at WEX. Our team is responsible for building and maintaining the robust, scalable, and secure cloud infrastructure that powers our AI and machine learning initiatives. We work with cutting-edge technologies like AWS, Azure, Docker, and Kubernetes to create a dynamic environment that supports the development and deployment of AI models at scale.

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

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

How you'll make an impact

• Collaborate with partners/stakeholders to understand the requirements of our AI development teams and key challenges.

• Learn and practice designing, building, and maintaining cloud infrastructure on AWS and Azure to support AI/ML workloads.

• Gain hands-on experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).

• Learn and implement CI/CD pipelines for automating the deployment and management of AI infrastructure.

• Develop and maintain monitoring and alerting systems to ensure the health and performance of production AI infrastructure.

• Learn to analyze system performance data to identify bottlenecks and opportunities for improvement.

• Learn from your peers and foster continuous learning of new cloud technologies and best practices.

• Learn our team's processes and best practices and apply them to given tasks with help from peers and your manager. Make sure to understand the underlying problems you try to solve with these tasks, and your implementations effectively address these problems in a reliable and sustainable way.

• Partner with team members in development and problem-solving.

• Proactively seek reviews from senior engineers on your work to ensure quality.

Experience you'll bring

• Bachelor's degree in Computer Science, Software Engineering, or a related field. OR demonstrable equivalent deep understanding, experience, and capability.

• 1 year of experience in software engineering or cloud infrastructure is a plus.

• Demonstrable programming skills in a 3GL strongly-typed language like Java, Python, C/C++ or Golang.

• Strong problem-solving skills, excellent communication, and collaboration skills.

• Highly self-motivated and eager to learn. Always watching out for new technologies and adopting appropriate ones for improving your productivity, as well as the quality & effectiveness of your deliverables.

• Capable of designing good solutions for small/medium scale problems or components.

• Strong understanding of cloud platforms (AWS, Azure), networking, and automation.

• Some understanding of containerization (Docker) and orchestration (Kubernetes) is a plus.

• Passionate and interested in AI/ML technologies and cloud infrastructure.

• Passionate about understanding and solving complex technical challenges.