Senior Software Engineer

The candidate must reside within 30 miles of one of the following locations: Boston, MA; San Francisco Bay Area, CA; Portland, ME; Chicago, IL.About the Team/RoleWe 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 impactDesign, 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 bring5 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.

#J-18808-Ljbffr