About The Role

At WEX, we simplify the business of running a business. Our WEX Benefits solutions
reduce complexity and help manage costs of benefits administration for our clients and
partners. We are looking for passionate technologists, collaborators, and problem
solvers to join our Benefits Technology team as we build the next generation of
employer benefits solutions and services.
As a Software Engineer on the WEX Benefits Technology team, you will work in a team
that partners closely with Product Managers and customers to learn about the
challenges employers face while navigating the competitive employee benefits
landscape. You will design solutions that solve problems in ways our customers love
and work for our business. You will build the highest quality software in the latest
technologies and test driven development practices.
How you’ll make an impact
● Collaborate with stakeholders to learn about our customers biggest challenges.
● Measure, inspect, and drive decisions using data.
● Design, test, code, and instrument new solutions.
● Strengthen and drive our engineering process with TDD and BDD, Microservice
and Vertical Slice Architectures.
● Support live applications, promote proactive monitoring, rapid incident response,
and continuous improvement.
● Analyze existing systems and processes to identify bottlenecks and opportunities
for improvements.
● Mentor and learn from your peers, foster continuous learning within your team
and organization.
● Become a subject matter expert in your functional area and best practices.
● Assess unique circumstances and apply creative problem-solving techniques to
resolve issues or suggest various approaches.
● Independently complete work and proactively review with others.
● Highly self-motivated, take ownership of your work, actively seek out ways to
contribute, and require minimal supervision.
Experience you’ll bring
Software Engineering & systems
● Strong problem-solving and analytical skills.
● Passionate about keeping up with modern technologies and design.
● Strong hands-on experience in software development, architecture, deployment,
and production operations
● Strong experience in design and implementation of scalable and reliable software
solutions using modern backend languages (such as C#, Python, Java, or .NET),
leveraging distributed systems architecture to solve complex problems.
● Strong understanding of data structures and algorithms, object-oriented design,
and problem-solving skills.
● Proficiency in React.
● Experience building and consuming REST APIs.
● Proven track record of writing comprehensive unit tests and test suites.
● Strong understanding of software security principles and OWASP guidelines.
● Proficiency with Git version control and CI/CD pipelines.
● Experience with Agile development methodologies.
● Track record of delivering complex projects on schedule.
● Experience in writing performant stored procedures and functions.
● Experience in developing Cloud-Native applications and services.
● You write clean, maintainable, and well-documented code.
Agentic Development & AI Trends
● LLM Awareness: Familiarity with LLM concepts and frameworks like LangChain
or LlamaIndex. You’ve experimented with or built basic RAG-based applications.
● Emerging Protocols: A desire to learn and implement new standards like the
Model Context Protocol (MCP).
● Agentic Workflows: Interest in how autonomous agents function, including tool-
use (function calling) and state management.
● Data Retrieval: Basic understanding of vector databases (e.g., Pinecone, Milvus)
and how search impacts AI performance.
● AI-Ops: Experience building "AI-native" features, including automated LLM-
based evaluations within the CI/CD pipeline.
Cloud & CI/CD Mastery
● Cloud Consoles: Hands-on experience working in Azure or AWS services like
IAM, S3/Blob, and compute instances.
● Infrastructure-as-Code (IaC): Basic experience with Terraform. You can read,
modify, and deploy infrastructure modules.
● CI/CD Tools: Familiarity with GitHub Actions, GitLab CI, or Jenkins. You
understand how to automate the build-test-deploy lifecycle.
● Observability: Basic experience with monitoring tools like Prometheus, Grafana,
or cloud-native solutions (CloudWatch/Azure Monitor)
Leadership & Education
● Education: Bachelor’s degree in Computer Science, Software Engineering, or a
related technical field.
● Team Player: Ability to work effectively in an agile environment, participating in
sprint planning and daily stand-ups.
● Continuous Learner: A strong desire to stay current with the rapidly changing AI
and cloud landscape.
● Collaboration: A proven track record of collaborating across autonomous teams
to drive the adoption of new technologies.
● Communication: Ability to clearly communicate technical trade-offs to both fellow
engineers and stakeholders.
● Experience working with geographically distributed teams

Technology Must-Haves

● C# and associated technologies, Python (if applicable)
● Docker
● Modern RDBMS (i.e. MS SQL, Postgres, MySQL)
● NoSQL databases (MongoDB)
● ASP.NET RESTful API design
● Event-driven design
● Modern Web UI Frameworks and Libraries ( React)
● Kubernetes
● Cloud experience (Azure / AWS ) with basic services like IAM, S3/Blob, compute
instances, API gateway , CDN , Lambda
● Agent development frameworks such as LangGraph or CrewAI and the transition
from static RAG to Agentic RAG.
● Knowledge of the Model Context Protocol (MCP) and how it allows AI agents to
interact with diverse data sources
● Agentic Workflows: Knowledge in how autonomous agents function, including
tool-use (function calling) and state management
● Data Retrieval: Basic understanding of vector databases (e.g., Pinecone, Milvus)
and how search impacts AI performance.