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, problem solvers, and technical leaders to join our Benefits Technology team as we build the next generation of employer benefits solutions and services.

As a Staff Software Engineer on the WEX Benefits Technology team, you will work in a high-demand environment where you will provide technical leadership while remaining hands-on with software development, troubleshooting, and problem solving. You will work closely with Product Managers, stakeholders, customers, and engineering teams to understand business challenges, define technical solutions, and deliver reliable and scalable software.

In this role, you will help coordinate the team's technical work, manage priorities, sprints, deliverables, development pipelines, project timelines, and resource allocation. You will provide technical guidance and help the team successfully execute projects while continuing to contribute directly to coding and solving complex technical problems.

This role requires a strong combination of technical leadership, project ownership, collaboration, and hands-on software engineering. You should have a strong understanding of project scope and timelines, be able to balance competing priorities, proactively identify risks and dependencies, and help drive successful delivery across the team.

You will also play an important role in the team's technology modernization journey. The current environment includes legacy .NET technologies that are expected to be modernized over time. The ability and willingness to work with existing technologies while contributing to modernization initiatives is an important requirement for this role.

How you’ll make an impact

● Provide technical leadership and guidance across the engineering team, helping coordinate technical priorities, tasks, and deliverables.

● Help manage sprints, project timelines, dependencies, risks, and delivery commitments using strong Scrum and Agile practices.

● Collaborate with stakeholders to learn about our customers' biggest challenges.

● Measure, inspect, and drive decisions using data.

● Design, test, code, and instrument new solutions.

● Remain hands-on and actively contribute to coding, troubleshooting, technical investigations, code reviews, and complex problem solving.

● Help balance team resources and workload across multiple priorities, including work coming from both within and outside the immediate team.

● 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, technical debt, and opportunities for improvement.

● Contribute to the modernization of existing legacy .NET applications and technologies.

● Manage and improve development and CI/CD pipelines, ensuring efficient and reliable delivery processes.

● Mentor and learn from your peers and foster continuous learning within your team and organization.

● Become a subject matter expert in your functional area and engineering best practices.

● Assess unique circumstances and apply creative problem-solving techniques to resolve issues or suggest various approaches.

● Independently complete work and proactively review solutions with others.

● Be highly self-motivated, take ownership of your work, actively seek out ways to contribute, and work effectively with appropriate levels of autonomy.

● Participate in initiatives to identify and implement AI-based improvements to the team's day-to-day engineering, operational, and development processes.

● Encourage the adoption of modern AI technologies and identify opportunities to improve productivity, automation, troubleshooting, testing, documentation, and engineering workflows through AI.

● Communicate technical trade-offs, project status, risks, dependencies, and recommendations clearly to both engineers and stakeholders.

Experience you’ll bring

● Strong problem-solving and analytical skills.

● Passionate about keeping up with modern technologies, software architecture, cloud, data, and AI trends.

● 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, particularly C# and .NET, with the ability to work effectively in existing and evolving technology environments.

● Strong experience with Microsoft SQL Server, T-SQL, SSIS, and SSRS, including development, maintenance, troubleshooting, and optimization.

● Experience with C# scripting within SSIS.

● Experience with YAML for CI/CD pipelines.

● Experience with BizTalk is desirable.

● Strong understanding of data structures and algorithms, object-oriented design, and problem-solving skills.

● 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 and a strong Scrum background.

● Proven experience providing technical leadership and managing technical deliverables, project timelines, dependencies, and priorities.

● Experience leading complex technical projects from planning through delivery.

● Track record of delivering complex projects on schedule.

● Experience in writing performant stored procedures and functions using T-SQL.

● Experience in developing Cloud-Native applications and services or willingness to quickly develop these skills.

● Experience with Docker and Kubernetes.

● Experience with relational databases and modern data technologies.

● Experience with event-driven architectures and/or streaming technologies is a plus.

● You write clean, maintainable, scalable, and well-documented code.

Agentic Development & AI Trends

● LLM Awareness: Familiarity with LLM concepts and frameworks like LangChain or LlamaIndex. Experience experimenting with or building basic RAG-based applications is a plus.

● 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.

● Agent Development: Familiarity with frameworks such as LangGraph or CrewAI and an understanding of the transition from static RAG to Agentic RAG.

● Data Retrieval: Basic understanding of vector databases such as Pinecone or Milvus and how search and retrieval quality impacts AI performance.

● AI-Ops: Interest or experience building AI-native features, including automated LLM-based evaluations within CI/CD pipelines.

● Continuous Improvement: Ability to identify opportunities to use AI to improve engineering productivity, automation, troubleshooting, testing, documentation, and operational efficiency.

Cloud & CI/CD Mastery

● Cloud Consoles: Hands-on experience working in Azure or AWS services such as IAM, S3/Blob, compute instances, API Gateway, CDN, and Lambda, or willingness to quickly develop these skills.

● Infrastructure-as-Code (IaC): Basic experience with Terraform. Ability to read, modify, and deploy infrastructure modules is a plus.

● CI/CD Tools: Familiarity with GitHub Actions, GitLab CI, or Jenkins. Understanding of how to automate the build-test-deploy lifecycle.

● Observability: Basic experience with monitoring tools such as Prometheus, Grafana, CloudWatch, Azure Monitor, or similar cloud-native solutions.

● Experience managing and troubleshooting CI/CD pipelines, including YAML-based pipeline configuration.

● Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

● Technical Leadership: Proven experience providing technical leadership, coordinating engineering work, mentoring engineers, and driving technical decisions across a team.

● Project Leadership: Experience leading technical projects, with strong ownership of project scope, deliverables, dependencies, risks, resources, and timelines.

● Scrum: Strong experience working in Agile/Scrum environments, including sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.

● Continuous Learner: A strong desire to stay current with the rapidly changing AI, cloud, data, and software engineering landscape.

● Collaboration: A proven track record of collaborating across autonomous teams to drive the adoption of new technologies and deliver complex initiatives.

● Communication: Ability to clearly communicate technical trade-offs, project status, priorities, risks, and recommendations to both fellow engineers and stakeholders.

● Hands-on Technical Leadership: Ability and willingness to remain technically engaged, contribute to coding and problem solving, and support the team directly when technical challenges arise.

Technology Must-Haves:

● C# and .NET – strong experience; current applications include legacy .NET technologies that are expected to be modernized over time.

● Microsoft SQL Server

● T-SQL – development and maintenance, including stored procedures and functions.

● SSIS

● SSRS

● C# scripting within SSIS

● YAML for CI/CD pipelines.

● ASP.NET RESTful API design and development

● Docker

● Modern RDBMS experience; current environment is primarily MS SQL Server, with PostgreSQL planned as part of the modernization roadmap.

● NoSQL databases, such as MongoDB.

● Event-driven design

● Kubernetes

● Cloud experience, particularly Azure and/or AWS, including basic services such as IAM, S3/Blob, compute instances, API Gateway, CDN, and Lambda.

● Knowledge of the Model Context Protocol (MCP) and how it allows AI agents to interact with diverse data sources and tools.

● Agentic Workflows: Knowledge of autonomous agents, including tool-use/function calling and state management.

● BizTalk – experience is preferred; or willingness and ability to learn the technology.

Technology Nice-To-Have or Dedicated to Learning Quickly:

● PostgreSQL

● Azure Data Lake

● Apache Iceberg

● PySpark

● Kafka / Kafka Streaming

● Snowflake

● ThoughtSpot

● Helm / ArgoCD

● Terraform

● GitHub Actions

● GraphQL

● Azure

● Modern data engineering and cloud-native architectures

● AI-native engineering practices and agentic AI technologies