The candidate must reside within 30 miles of one of the following locations : San Francisco Bay Area, CA; Portland, ME; Chicago, Il.
About the Team / Role
We are the AI Platform Engineering team at WEX, committed to building scalable components that empower our product development teams to rapidly deploy ML and LLM functionality.
Leveraging cutting-edge technologies such as Kubernetes, Docker, Terraform, and serverless architectures, we ensure our solutions are cloud-first and highly automated across infrastructure, testing, and deployment.
Join us if you are passionate about Software Engineering, MLOps, and DevOps, and are eager to work with state-of-the-art tools and platforms to make a tangible impact.
How you’ll make an impact
Design, implement, and maintain robust and scalable full-stack components.
Integrate AI components and models into WEX systems in collaboration with machine learning engineers.
Design and implement REST APIs for seamless component communication and application operation.
Manage version control using GitHub and implement CI / CD pipelines.
Balance the need for rapid development with regulatory compliance in industries like payments and healthcare.
Collaborate effectively with cross-functional teams and participate in code reviews.
Communicate solutions to both technical and non-technical stakeholders.
Work on small, high-performing teams.
Advocate for your positions while fully supporting team decisions.
Experience you’ll bring
5 years of software development experience.
Bachelor's Degree in Computer Science, Engineering, or related field.
Proven experience as a Full Stack Software Engineer.
Experience with AWS, Azure, or GCP cloud services.
Experience applying DevOps principles to software development processes.
Proficiency in version control systems, particularly GitHub.
Demonstrated experience using CI / CD pipelines for automated testing and deployment.
Excellent problem-solving skills and a proactive approach to addressing challenges.
A plus if you have experience running production AI / ML workloads at scale.
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role.
Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan.
Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being.
Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.
For more information, check out the "About Us" section.Pay Range : $126.000,00 - $168.000,00
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