WEX Inc. is 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.
Requirements
- Demonstrable strong programming skills in a 3GL strongly-typed language like Java, Python, C/C++ or Golang.
- Strong understanding of cloud platforms (AWS and Azure), including services relevant to AI/ML (e.g., EC2, S3, EKS, Azure ML, AKS).
- Hands-on experience with containerization (Docker) and container orchestration (Kubernetes).
- Experience with building and managing CI/CD pipelines for infrastructure and ML model deployment (using tools like Jenkins, GitLab CI/CD, etc.).
- Strong understanding of networking concepts (VPC, subnets, routing, firewalls) and experience configuring network infrastructure in the cloud.
- Experience with infrastructure monitoring and alerting tools (e.g., Prometheus, Grafana, CloudWatch, Azure Monitor).
- Strong scripting skills (Python, Bash) for automation and configuration management.
Responsibilities
- Design, build, and maintain cloud infrastructure on AWS and Azure to support AI/ML workloads.
- Implement and manage containerization technologies (Docker) and orchestration platforms (Kubernetes).
- Develop and maintain 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.
- Analyze system performance data to identify bottlenecks and opportunities for improvement.
- Mentor and learn from your peers, foster continuous learning of new cloud technologies and best practices.
- Partner with team members in development and problem-solving.
Other
- Collaborate with partners/stakeholders to understand the requirements of our AI development teams and key challenges.
- Get good at 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.
- Independently complete work and proactively seek reviews from Senior Engineers on your work to ensure high quality.
- Perform technical discussions. Proactively review work from peers and learn.
