AI Infrastructure Engineer II - WEX : Job Details

(*) The candidate must reside within 30 miles of one of the following locations: San Francisco Bay Area, CA; Portland, ME; Chicago, IL; Boston, MA.

About the Team/Role

WEX is an innovative global commerce platform and payments technology company aiming to simplify the business of doing business for customers. Our goal is to build a consistent, world-class user experience across our products and leverage innovations like big data, AI, and Risk management. Our AI Infrastructure team plays a pivotal role in enabling these advancements.

We are seeking a highly motivated Engineer to join our AI Infrastructure team, contributing to our cloud-based AI solutions and advancing your career. This is an exciting opportunity to work with cutting-edge technologies such as AWS, Azure, Docker, and Kubernetes, supporting scalable AI and machine learning initiatives.

You will work on challenging problems with significant business impact, supported by a talented team of engineers and leaders committed to your growth and success.

How you'll make an impact

• Collaborate with stakeholders to understand AI development requirements and challenges.
• Design, build, and maintain cloud infrastructure on AWS and Azure for AI/ML workloads.
• Implement and manage containerization (Docker) and orchestration (Kubernetes).
• Develop and maintain CI/CD pipelines for deploying AI infrastructure.
• Monitor system health and performance, develop alerting systems.
• Analyze performance data to identify improvements.
• Mentor peers and stay updated on cloud technologies and best practices.
• Apply team processes and best practices effectively, understanding the underlying problems.
• Partner with team members for development and problem-solving.
• Complete work independently, seeking reviews to ensure quality.
• Participate in technical discussions, review peers' work, and learn continuously.

Experience you'll bring

• Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience.
• Master's or PhD is a plus.
• 2+ years in software engineering or cloud infrastructure supporting AI/ML workloads.
• Strong programming skills in Java, Python, C/C++, or Golang.
• Experience with AWS and Azure services relevant to AI/ML (e.g., EC2, S3, EKS, Azure ML, AKS).
• Hands-on experience with Docker and Kubernetes.
• Experience with CI/CD tools like Jenkins or GitLab CI/CD.
• Understanding of networking concepts in the cloud.
• Experience with monitoring tools like Prometheus, Grafana, CloudWatch, Azure Monitor.
• Scripting skills in Python or Bash.
• Excellent problem-solving and communication skills.

Preferred Qualifications:

• Experience with CI/CD processes and tools.
• Familiarity with infrastructure monitoring and alerting systems.

The pay range for this position is $84,000 - $112,000, based on qualifications and experience. Additional benefits include health, dental, vision, retirement plans, paid time off, and more.