Careers at Wexinc

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA. About the Team/Role The Data Platform Engineering Team acts as the backbone of our enterprise data architecture, bridging the gap between Data Engineering, Infrastructure, and Operations. Responsible for architecting, scaling, and maintaining multi-cloud infrastructure across AWS and Azure, the team takes direct ownership of core Apache Airflow orchestration, big data frameworks, and containerized environments to ensure a robust, production-grade platform. We are seeking a Staff Software Engineer (Semantic Foundationa) with 6+ years of hands-on experience to join this team as a core platform engineer and DevOps specialist. In this role, you will take direct ownership of our orchestration and containerization stack while driving key initiatives in CI/CD automation, observability, data governance, and cloud cost optimization. You will bridge the gap between Data Engineering, Infrastructure, and Operations. How you’ll make an impact Infrastructure, Orchestration & DevOps Airflow Infrastructure Ownership: Design, deploy, scale, and maintain highly available Apache Airflow clusters (using Helm, Kubernetes, and Terraform) to support critical enterprise ETL/ELT workflows. Infrastructure-as-Code & GitOps: Drive DevOps practices using Terraform, Helm Charts, and ArgoCD to automate platform deployments, manage self-hosted GitHub runners, and enforce GitOps workflows. CI/CD & Automation: Architect and manage robust CI/CD pipelines utilizing GitHub Actions for seamless deployment of data pipelines, infrastructure components, and DAGs. Container & Cluster Management: Provision and manage scalable Kubernetes (EKS/AKS) clusters, Docker containers, and underlying cloud infrastructure across AWS (EC2, EMR, S3, VPC) and Azure (Synapse, ADLS). Observability, Telemetry & Alerting: Build and maintain end-to-end monitoring, logging, and alerting systems using Grafana, Prometheus, Loki, and centralized log management solutions to ensure high platform uptime and reliability. Central Data Platform, Tools & Governance Big Data Platform Architecture: Build scalable data infrastructure supporting big data processing engines and data warehouses, including Apache Spark, AWS EMR, Snowflake, Azure Synapse, Apache Kafka, and dbt. Data Lineage & Governance: Deploy and maintain central data discovery and metadata tooling (e.g., DataHub) to facilitate data governance, schema management, and cataloging. Cost Optimization & FinOps: Actively monitor, audit, and optimize data infrastructure compute and storage costs across AWS and Azure (EC2, EMR, Snowflake queries, Kubernetes nodes). Developer Experience & Tooling: Build internal tools, CLI utilities, and dynamic workflow templates to improve developer productivity for data engineers, analytics engineers, and data scientists. Technical Leadership & Ownership Architecture & End-to-End Ownership: Take full technical ownership of data platform modules from architectural design through deployment, production operations, and incident management. Technical Excellence & Best Practices: Define and enforce high engineering standards for code quality, design patterns, testing, data lineage, and security (access controls, IAM, dynamic schema management). Strategic Roadmap: Partner with data leads, product managers, and business stakeholders to identify infrastructure gaps, define a 1–2 year data platform roadmap, and prioritize platform initiatives. Mentorship: Serve as a subject matter expert (SME) on data infrastructure, guiding and mentoring junior and mid-level data platform engineers . Experience you’ll bring Experience & Core Skills 6+ years of hands-on professional experience in Data Platform Engineering, DevOps, or Site Reliability Engineering (SRE) supporting big data environments. Airflow Subject Matter Expertise: Deep production experience managing, tuning, dynamic scaling, and troubleshooting Apache Airflow infrastructure (Celery/Kubernetes Executors, DAG parsing performance, dynamic configurations). Container & Infrastructure Automation: Expert-level skills in Kubernetes, Helm, Terraform, Docker, ArgoCD, and GitHub Actions (including custom runner configurations). Observability & Monitoring: Proven track record of configuring production alerting, metrics collection, and log aggregation using Grafana, Prometheus, and Loki. Big Data & Analytics Tech Stack: Deep operational and configuration experience with Spark, AWS EMR, Snowflake, Azure Synapse, dbt, and real-time streaming via Apache Kafka. Cloud & FinOps: Solid hands-on experience with AWS (EC2, S3, VPC, IAM, EKS) and/or Azure, with a demonstrated history of driving cloud cost optimization. Governance Tooling: Experience deploying or managing data cataloging tools like DataHub, Amundsen, or similar metadata management platforms. Programming & Scripting: Strong programming skills in Python, Bash, Go, or SQL. Mindset & Execution High Ownership: Comfortable taking complex architectural requirements from concept to production-grade deployment in a high-paced environment. Automation-First Philosophy: Driven to replace manual operational tasks with code, automated tests, automated CI/CD checks, and resilient self-healing infrastructure. 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: $140,600.00 - $173,100.00

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA. About the Team/Role The Data Platform Engineering Team acts as the backbone of our enterprise data architecture, bridging the gap between Data Engineering, Infrastructure, and Operations. Responsible for architecting, scaling, and maintaining multi-cloud infrastructure across AWS and Azure, the team takes direct ownership of core Apache Airflow orchestration, big data frameworks, and containerized environments to ensure a robust, production-grade platform. We are seeking a Staff Software Engineer (Semantic Foundationa) with 6+ years of hands-on experience to join this team as a core platform engineer and DevOps specialist. In this role, you will take direct ownership of our orchestration and containerization stack while driving key initiatives in CI/CD automation, observability, data governance, and cloud cost optimization. You will bridge the gap between Data Engineering, Infrastructure, and Operations. How you’ll make an impact Infrastructure, Orchestration & DevOps Airflow Infrastructure Ownership: Design, deploy, scale, and maintain highly available Apache Airflow clusters (using Helm, Kubernetes, and Terraform) to support critical enterprise ETL/ELT workflows. Infrastructure-as-Code & GitOps: Drive DevOps practices using Terraform, Helm Charts, and ArgoCD to automate platform deployments, manage self-hosted GitHub runners, and enforce GitOps workflows. CI/CD & Automation: Architect and manage robust CI/CD pipelines utilizing GitHub Actions for seamless deployment of data pipelines, infrastructure components, and DAGs. Container & Cluster Management: Provision and manage scalable Kubernetes (EKS/AKS) clusters, Docker containers, and underlying cloud infrastructure across AWS (EC2, EMR, S3, VPC) and Azure (Synapse, ADLS). Observability, Telemetry & Alerting: Build and maintain end-to-end monitoring, logging, and alerting systems using Grafana, Prometheus, Loki, and centralized log management solutions to ensure high platform uptime and reliability. Central Data Platform, Tools & Governance Big Data Platform Architecture: Build scalable data infrastructure supporting big data processing engines and data warehouses, including Apache Spark, AWS EMR, Snowflake, Azure Synapse, Apache Kafka, and dbt. Data Lineage & Governance: Deploy and maintain central data discovery and metadata tooling (e.g., DataHub) to facilitate data governance, schema management, and cataloging. Cost Optimization & FinOps: Actively monitor, audit, and optimize data infrastructure compute and storage costs across AWS and Azure (EC2, EMR, Snowflake queries, Kubernetes nodes). Developer Experience & Tooling: Build internal tools, CLI utilities, and dynamic workflow templates to improve developer productivity for data engineers, analytics engineers, and data scientists. Technical Leadership & Ownership Architecture & End-to-End Ownership: Take full technical ownership of data platform modules from architectural design through deployment, production operations, and incident management. Technical Excellence & Best Practices: Define and enforce high engineering standards for code quality, design patterns, testing, data lineage, and security (access controls, IAM, dynamic schema management). Strategic Roadmap: Partner with data leads, product managers, and business stakeholders to identify infrastructure gaps, define a 1–2 year data platform roadmap, and prioritize platform initiatives. Mentorship: Serve as a subject matter expert (SME) on data infrastructure, guiding and mentoring junior and mid-level data platform engineers . Experience you’ll bring Experience & Core Skills 6+ years of hands-on professional experience in Data Platform Engineering, DevOps, or Site Reliability Engineering (SRE) supporting big data environments. Airflow Subject Matter Expertise: Deep production experience managing, tuning, dynamic scaling, and troubleshooting Apache Airflow infrastructure (Celery/Kubernetes Executors, DAG parsing performance, dynamic configurations). Container & Infrastructure Automation: Expert-level skills in Kubernetes, Helm, Terraform, Docker, ArgoCD, and GitHub Actions (including custom runner configurations). Observability & Monitoring: Proven track record of configuring production alerting, metrics collection, and log aggregation using Grafana, Prometheus, and Loki. Big Data & Analytics Tech Stack: Deep operational and configuration experience with Spark, AWS EMR, Snowflake, Azure Synapse, dbt, and real-time streaming via Apache Kafka. Cloud & FinOps: Solid hands-on experience with AWS (EC2, S3, VPC, IAM, EKS) and/or Azure, with a demonstrated history of driving cloud cost optimization. Governance Tooling: Experience deploying or managing data cataloging tools like DataHub, Amundsen, or similar metadata management platforms. Programming & Scripting: Strong programming skills in Python, Bash, Go, or SQL. Mindset & Execution High Ownership: Comfortable taking complex architectural requirements from concept to production-grade deployment in a high-paced environment. Automation-First Philosophy: Driven to replace manual operational tasks with code, automated tests, automated CI/CD checks, and resilient self-healing infrastructure. 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: $140,600.00 - $173,100.00

About the Team/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. ● Develop and maintain CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. ● Implement Infrastructure as Code (IaC) using tools like Terraform. ● 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. ● Lead initiatives for your team by using your wide-ranging experience and deep technical knowledge to make decisions on method and approach to solving issues. ● Hold your team accountable for delivering quality results using defined OKRs. ● Interact with Senior Managers to discuss plans, results, and advise on complex matters. Experience you’ll bring ● Bachelor's degree in Computer Science, Software Engineering, or related field; OR demonstrable equivalent experience. ● At least 10 years of experience in software engineering. ● Strong problem-solving skills, excellent communication and collaboration skills. ● Passionate about keeping up with modern technologies and design. Technology Must Haves: ● C#, Python (if applicable) ● Docker ● Modern RDBMS (i.e. MS SQL, Postgres) ● ASP.NET RESTful API design ● Kafka / event-driven design ● Terraform ● Modern Web UI Frameworks (i.e. Angular, React, Blazor) ● Kubernetes ● NoSQL databases Technology Must Haves or Dedicate to Learning Quickly: ● Helm/ArgoCD ● GitHub Actions ● GraphQL

Software Engineer - Level 3 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. Responsibilities: Collaborate with stakeholders to learn about our customers biggest challenges. Measure, inspect, and drive decisions using data. Design, test, code, and instrument new solutions. Strong experience in developing Micro Frontends (MFEs) using React.js. Hands-on experience integrating frontend applications with backend APIs (RESTful APIs). Develop and maintain CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. Implement Infrastructure as Code (IaC) using tools like Terraform. 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. Required Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field; OR demonstrable equivalent experience. At least 5 years of experience in software engineering. Strong problem-solving skills, excellent communication and collaboration skills. Passionate about keeping up with modern technologies and design. Technology Must Haves: React.js JavaScript (ES6+) and TypeScript HTML5 and CSS3 ASP.NET Core and RESTful API design/integration C# (Good to have) Docker Modern RDBMS (e.g., Microsoft SQL Server or PostgreSQL) Git and Git-based development workflows Technology Must Haves or Dedicate to Learning Quickly: Azure Kubernetes Helm/ArgoCD GitHub Actions NoSQL databases

Work Timings: U.S. Eastern Time Zone (ET) About the team / 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 I on the WEX Benefits Technology team, you will work within your engineering team to partner with and assist on the design and implementation of solutions employing Test Driven Development (TDD) and accelerated delivery through the effective use of Artificial Intelligence. You will focus on building and maintaining high-quality software and automated test solutions, while rapidly developing your engineering craftsmanship under the guidance of senior team members. How you'll make an impact Partner with and assist your peers on completing tasks to deliver valuable software for our customers. Monitor, measure, and inspect operational and quality metrics; proactively surface opportunities for improving service performance and system health to the wider team. Analyze existing systems and processes to identify bottlenecks and opportunities for improvements. Support team members in deep dives for rapid incident response. Learn new technologies, sharing your findings and learnings with the team to demonstrate mastery of the content and promote adoption. Influence and learn from your peers, foster continuous learning within your team and organization. Learn our team’s process and best practices, and apply them to given tasks with help from peers and your manager and provide feedback to improve team performance. Design, test, code, and instrument new solutions while learning the team's best practices and applying them to assigned tasks with help from peers. Leverage AI-powered development tools (e.g., code completion and refactoring assistance) to enhance coding efficiency and maintain high code quality. Assist in driving the engineering process using TDD, BDD, and Microservice and Vertical Slice Architectures (VSA). Develop, maintain, and enhance automated test frameworks and test suites to improve regression coverage, test reliability, and testing efficiency across QA environments. Analyze automated test results, troubleshoot failures, and collaborate with engineering teams to identify and resolve defects and test automation issues. Contribute to expanding automated test coverage for new and existing functionality, including UI, API, and integration testing, while following established engineering and automation best practices. Experience you will bring Bachelor's degree in Computer Science, Software Engineering, or related field; OR demonstrable equivalent experience. At least 3 months of work experience in software engineering. Strong problem-solving skills, excellent communication and collaboration skills. Passionate about keeping up with modern technologies and design. Experience building and consuming REST APIs Technology Must-Haves: C#, Python (if applicable) Experience with or strong understanding of automated testing and test automation practices Understanding of applied OOP, SOLID, and design principles Experience building and consuming REST APIs Familiarity with version control and CI/CD practices Strong aptitude for integrating AI/ML-driven development workflows into the daily Software Development Lifecycle (SDLC) Technology Nice-To-Have or Dedicate to Learning Quickly: Cloud & Infrastructure: Azure, Docker, Kubernetes, GitHub Actions, Helm, ArgoCD, Terraform. Architecture: Knowledge of RESTful API design, GraphQL and Kafka/event-driven design. Data: Modern RDBMS (e.g., MS SQL, Postgres) and NoSQL databases. Frontend: Modern Web UI Frameworks such as Angular or React. Test Automation: Selenium or similar UI automation frameworks, API automation, automated regression testing, and test framework development DevOps/CI/CD: Azure DevOps, GitHub Actions, or similar CI/CD platforms

About the Role WEX is seeking an AI Security Architect to help secure the next generation of AI and agentic systems across our enterprise. This is a deeply technical role for a security professional who understands how modern AI systems work—from model inference and agentic workflows to vector databases, identity, and trust boundaries—and can translate that knowledge into practical security architecture and controls. You will partner directly with engineering and AI teams building these systems, helping them move quickly while ensuring security is designed into the technology from the start. This is not a traditional “checklist and diagram” architecture role; you will be expected to engage deeply with technical designs, challenge assumptions, and independently define security patterns for emerging AI platforms. What You'll Do Partner with AI, engineering, and platform teams to review and secure the architecture of AI applications and platforms. Define security patterns, reference architectures, and guardrails for LLMs, AI agents, RAG architectures, vector databases, and inference environments. Identify and address security risks across AI data flows, model and inference access, identity boundaries, third-party integrations, and agentic workflows. Design practical approaches for identity, authentication, authorization, and trust boundaries in AI and multi-agent systems. Evaluate emerging AI-specific threats and define appropriate security controls and mitigations. Help establish monitoring, security guardrails, policy enforcement, and detection capabilities for LLM inference and agentic activity. Translate emerging AI security and regulatory requirements into practical engineering standards and guidance. Enable secure innovation by helping teams make informed, risk-based security decisions rather than acting as a gatekeeper. Provide technical leadership and guidance as WEX continues to build and adopt emerging AI technologies and platforms. What You'll Bring Deep technical expertise in application, cloud, or platform security with demonstrated experience securing modern AI architectures. Strong understanding of model inference, AI model lifecycle concepts, and the security considerations associated with LLM-based systems . Experience evaluating or securing architectures involving LLMs, RAG, vector databases, AI agents, and agentic or multi-agent workflows . Strong understanding of identity, authentication, authorization, and trust boundaries , particularly as they apply to AI systems and autonomous agents. Ability to identify AI-specific security threats and translate them into practical, scalable security controls. Experience working directly with engineering teams and engaging deeply in technical architecture and design discussions. Strong ability to navigate ambiguity, independently evaluate emerging technologies, and develop practical security patterns where established standards may still be evolving. Preferred Qualifications Experience implementing security guardrails, policy enforcement, or monitoring for AI and LLM-based applications. Familiarity with AI security frameworks, emerging industry standards, and the evolving regulatory landscape. Experience with cloud-native architectures and modern application development environments. Relevant security certifications are valued but are not a substitute for demonstrated technical depth in securing modern AI systems. How You'll Make an Impact You will help shape how WEX securely adopts and builds AI technologies at a time when the underlying technology and threat landscape are evolving rapidly. Your ability to combine deep technical expertise with pragmatic, risk-based decision-making will help engineering teams innovate with confidence while building security into AI systems from the start. 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: $143,400.00 - $189,100.00