Tech Lead, Benefits Engineering

WEXWEXUS•Remote, OH

5d•$140,600 - $173,100

About The Position

At WEX, we simplify the business of running a business. Our WEX Benefits solutions reduce complexity and help employers and partners manage the cost and administration of employee benefits. 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 Tech Lead on the WEX Benefits Technology team, you will provide hands-on technical leadership for the design, development, and evolution of modern software solutions that power the employee benefits experience. This is a technical leadership role, not a people-management position. You will serve as a trusted technical partner to engineers, product managers, architects, and other stakeholders, helping teams make sound technical decisions and deliver high-quality, scalable software. You will spend your time balancing architecture, technical design, planning, mentoring, code quality, and hands-on engineering. You will help translate complex business problems into practical technical solutions, identify risks and dependencies early, and guide engineering teams through both new development and modernization of existing platforms. The ideal candidate is a highly autonomous technical leader who can operate effectively in complex environments, influence across teams, and bring clarity to challenging technical problems.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
10+ years of professional software engineering experience, with a demonstrated history of technical leadership.
Proven experience leading the technical design and delivery of complex software systems.
Strong experience with C# and .NET / ASP.NET and modern software development practices.
Strong experience building and consuming RESTful APIs and designing API-driven architectures.
Strong proficiency with React and/or Angular and modern web application development.
Experience designing and developing distributed, event-driven systems, including experience with Kafka or similar event-streaming technologies.
Experience developing and operating cloud-native applications and services in AWS and/or Azure environments.
Strong understanding of relational and NoSQL database technologies and experience making appropriate data architecture decisions.
Experience with Docker, Kubernetes, and modern CI/CD practices.
Experience transitioning teams or organizations from waterfall to Agile development practices.
Strong understanding of software architecture, design patterns, scalability, reliability, security, and performance.
Experience with automated testing, including unit, integration, and end-to-end testing strategies.
Strong understanding of software security principles and OWASP guidelines.
Excellent problem-solving and analytical skills with the ability to independently navigate ambiguous and complex technical problems.
Strong communication and collaboration skills, with the ability to influence technical decisions across teams without relying on formal authority.
Demonstrated ability to mentor engineers and provide technical direction while remaining an individual technical contributor.
Track record of delivering complex technical initiatives and making sound trade-offs among scope, quality, risk, and delivery.

Nice To Haves

Terraform
Helm / ArgoCD
GitHub Actions
GraphQL
Python
Generative AI and Agentic AI models, frameworks, and development patterns
Experience with domain-driven design, domain decomposition, or domain-boundary transformation
Experience modernizing legacy platforms and integrating modern services with existing systems
Experience in the benefits, healthcare, payments, financial services, or other highly regulated domains.
Experience leading technical transformation across complex enterprise environments.
Strong understanding of domain modeling, service boundaries, and distributed system architecture.
A history of successfully solving complex technical problems with a high degree of autonomy and ownership.
Ability to quickly learn new technologies, tools, processes, and business domains and apply them effectively.
Ability to act as a technical bridge across teams, communicate complex concepts clearly, and build alignment around technical decisions.
Curiosity about emerging technologies and a practical approach to evaluating and applying Generative AI and Agentic AI capabilities.

Responsibilities

Provide technical leadership and mentorship to engineers, helping establish sound engineering practices and raising the overall technical bar.
Lead the architecture, technical design, planning, and implementation of complex software solutions across distributed systems and cloud environments.
Translate business and customer needs into scalable, maintainable, and secure technical solutions.
Guide teams in designing and building cloud-native, distributed, and event-driven applications and services.
Partner with Product, Architecture, Engineering, and other stakeholders to define technical approaches, manage dependencies, identify risks, and drive initiatives forward.
Provide technical input into high-level estimation, planning, sequencing, and delivery strategy for complex initiatives.
Review designs, code, and technical approaches to ensure solutions meet standards for quality, scalability, reliability, security, and maintainability.
Remain hands-on with software development and contribute code where it provides the greatest technical value.
Help evolve applications and platforms from legacy approaches toward modern, domain-aligned, cloud-native architectures.
Help teams navigate technology and organizational transformation, including the evolution from traditional development practices to Agile and iterative delivery models.
Apply strong architectural thinking to help establish clear domain boundaries and reduce unnecessary coupling across systems and services.
Promote automated testing, CI/CD, observability, proactive monitoring, and operational excellence throughout the software development lifecycle.
Mentor engineers through complex technical challenges and foster a culture of continuous learning and engineering excellence.
Use data, experimentation, and engineering metrics to evaluate solutions and drive continuous improvement.
Stay current with emerging technologies, including Generative AI and Agentic AI, and identify opportunities to responsibly apply these capabilities to engineering and customer solutions.