Cloud Infrastructure Architect for AI Innovation

7 hours ago

Étreux, Hauts-de-France, United States WEX, Inc. Full time

About WEX

WEX, Inc. is a global commerce platform and payments technology company pushing the boundaries of innovation in a rapidly changing environment.

We are on a mission to build a consistent world-class user experience across our products and services, leveraging customer-focused innovations in big data, AI, and Risk.

The AI Infrastructure team plays a pivotal role in enabling these advancements, and we're seeking a highly motivated Staff Engineer to join us.

This is an exciting time to be part of the AI Infrastructure team at WEX, as a technical leader responsible for building and maintaining the robust, scalable, and secure cloud infrastructure that powers our AI and machine learning initiatives.

Our team works 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.

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.

Your Responsibilities

  • You will collaborate with data scientists, ML engineers, and stakeholders to understand the requirements and challenges of AI/ML workloads.
  • Design, implement, and maintain highly scalable and secure cloud infrastructure on AWS and Azure to support AI/ML workloads using IaC technologies like Terraform.
  • Architect and manage containerization (Docker) and orchestration (Kubernetes) for efficient deployment and scaling of AI/ML applications.
  • Develop and optimize CI/CD pipelines for automating the build, test, and deployment of AI/ML models and infrastructure.
  • Implement and manage robust monitoring and alerting systems to ensure the health, performance, and reliability of production AI infrastructure.
  • Proactively analyze system performance data to identify bottlenecks, optimize resource utilization, and improve overall efficiency.
  • Stay current with emerging cloud technologies, tools, and best practices in the AI/ML infrastructure space.
  • Mentor and guide junior team members, fostering a culture of continuous learning and knowledge sharing.
  • Contribute to the team's technical roadmap and strategic initiatives.
  • Troubleshoot complex technical issues and provide timely solutions.
  • Participate in on-call rotation to ensure 24/7 availability and support of critical AI infrastructure.
  • Drive the adoption of best practices and standards for AI infrastructure development and operations.
  • Lead technical design and architecture discussions, ensuring alignment with business goals and long-term scalability.
  • Proactively identify and address potential risks and issues related to AI infrastructure.
  • Collaborate with cross-functional teams to drive the successful implementation of AI/ML projects.

What You'll Need

  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience and capabilities.
  • A Master's or PhD degree in Computer Science (or related field) is a plus.
  • 7+ years of experience in software engineering or cloud infrastructure, with a strong focus on AI/ML infrastructure.
  • Demonstrable advanced 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) in production environments at scale.
  • Extensive experience in 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.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Qualifications:

  • Experience with MLOps tools and practices.
  • Expertise with infrastructure as code (IaC) tools like Terraform or CloudFormation.
  • Advanced programming skills in multiple 3GL strongly-typed languages like Java, Python, C/C++, or Golang.
  • Contributions to open-source projects related to AI/ML infrastructure.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.

Salary Range: $147,000 - $195,000 annually. WEX offers a comprehensive benefits package, including health insurance, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.

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