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We are looking for a passionate Staff Software Development Engineer who enjoys solving complex problems, passionate about learning and experimenting, building innovative solutions, and collaborating with a talented engineering team. In this role, you will play a key part in designing, developing, and enhancing agentic solutions in a cloud-native environment using industry-leading AI tools/platforms, Java, AWS, Kafka event streaming, Elasticsearch, containerization, and API-driven architectures. This is an opportunity to join an agile, collaborative team where engineers have ownership, make meaningful technical contributions, and deliver solutions that directly impact WEX’s customers and business growth. How You’ll Make an Impact Design, develop, and deliver delightful product experiences that are powered by Agentic capabilities, scalable, reliable software solutions using modern technologies such as Java, Kafka, Elasticsearch, and cloud-native platforms. Contribute to architecture and design decisions that support highly available, secure, and scalable systems. Build and maintain clean, efficient, well-tested, and maintainable code. Develop and optimize RESTful APIs and backend services. Participate in code reviews, technical discussions, and collaborative problem-solving sessions. Troubleshoot, debug, and resolve complex technical challenges. Work across technology stacks and quickly adapt to new tools and frameworks. Stay current with emerging technologies and industry best practices to continuously improve engineering practices. Ensure operational excellence and best customer experience for all the products and systems owned by the team. Experience You’ll Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field. 7+ years of software engineering experience designing, developing, and supporting enterprise-scale applications. Strong experience building cloud-based applications and infrastructure using infrastructure-as-code practices. Proficiency with event streaming platforms such as Kafka. Experience with Elasticsearch, including indexing strategies, query optimization, and data analysis. Experience working with cloud platforms such as AWS. Strong understanding of software engineering principles, including data structures, algorithms, object-oriented design, scalability, availability, and reliability. Strong problem-solving skills with the ability to analyze complex technical challenges. Excellent written and verbal communication skills with a collaborative mindset. Preferred Qualifications Master’s degree in Computer Science, Software Engineering, or a related field. 8+ years of software engineering experience. Experience and knowledge in building Agentic/AI solutions for real world problems. Experience designing and implementing event-driven architectures. Experience working with card payments or financial services platforms. Hands-on experience with cloud-native technologies including Docker and Kubernetes. Knowledge of API security principles and PCI DSS compliance requirements. Experience working within existing codebases and improving legacy systems. Strong backend development expertise with Java or C#, including frameworks such as Spring Boot. Experience designing, building, and optimizing RESTful APIs, OData services, and SQL-based solutions. Proven experience developing internet-scale services with a focus on scalability, security, availability, and reliability. 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

We are looking for a passionate Staff Software Development Engineer who enjoys solving complex problems, passionate about learning and experimenting, building innovative solutions, and collaborating with a talented engineering team. In this role, you will play a key part in designing, developing, and enhancing agentic solutions in a cloud-native environment using industry-leading AI tools/platforms, Java, AWS, Kafka event streaming, Elasticsearch, containerization, and API-driven architectures. This is an opportunity to join an agile, collaborative team where engineers have ownership, make meaningful technical contributions, and deliver solutions that directly impact WEX’s customers and business growth. How You’ll Make an Impact Design, develop, and deliver delightful product experiences that are powered by Agentic capabilities, scalable, reliable software solutions using modern technologies such as Java, Kafka, Elasticsearch, and cloud-native platforms. Contribute to architecture and design decisions that support highly available, secure, and scalable systems. Build and maintain clean, efficient, well-tested, and maintainable code. Develop and optimize RESTful APIs and backend services. Participate in code reviews, technical discussions, and collaborative problem-solving sessions. Troubleshoot, debug, and resolve complex technical challenges. Work across technology stacks and quickly adapt to new tools and frameworks. Stay current with emerging technologies and industry best practices to continuously improve engineering practices. Ensure operational excellence and best customer experience for all the products and systems owned by the team. Experience You’ll Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field. 7+ years of software engineering experience designing, developing, and supporting enterprise-scale applications. Strong experience building cloud-based applications and infrastructure using infrastructure-as-code practices. Proficiency with event streaming platforms such as Kafka. Experience with Elasticsearch, including indexing strategies, query optimization, and data analysis. Experience working with cloud platforms such as AWS. Strong understanding of software engineering principles, including data structures, algorithms, object-oriented design, scalability, availability, and reliability. Strong problem-solving skills with the ability to analyze complex technical challenges. Excellent written and verbal communication skills with a collaborative mindset. Preferred Qualifications Master’s degree in Computer Science, Software Engineering, or a related field. 8+ years of software engineering experience. Experience and knowledge in building Agentic/AI solutions for real world problems. Experience designing and implementing event-driven architectures. Experience working with card payments or financial services platforms. Hands-on experience with cloud-native technologies including Docker and Kubernetes. Knowledge of API security principles and PCI DSS compliance requirements. Experience working within existing codebases and improving legacy systems. Strong backend development expertise with Java or C#, including frameworks such as Spring Boot. Experience designing, building, and optimizing RESTful APIs, OData services, and SQL-based solutions. Proven experience developing internet-scale services with a focus on scalability, security, availability, and reliability. 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

We are looking for a passionate Staff Software Development Engineer who enjoys solving complex problems, passionate about learning and experimenting, building innovative solutions, and collaborating with a talented engineering team. In this role, you will play a key part in designing, developing, and enhancing agentic solutions in a cloud-native environment using industry-leading AI tools/platforms, Java, AWS, Kafka event streaming, Elasticsearch, containerization, and API-driven architectures. This is an opportunity to join an agile, collaborative team where engineers have ownership, make meaningful technical contributions, and deliver solutions that directly impact WEX’s customers and business growth. How You’ll Make an Impact Design, develop, and deliver delightful product experiences that are powered by Agentic capabilities, scalable, reliable software solutions using modern technologies such as Java, Kafka, Elasticsearch, and cloud-native platforms. Contribute to architecture and design decisions that support highly available, secure, and scalable systems. Build and maintain clean, efficient, well-tested, and maintainable code. Develop and optimize RESTful APIs and backend services. Participate in code reviews, technical discussions, and collaborative problem-solving sessions. Troubleshoot, debug, and resolve complex technical challenges. Work across technology stacks and quickly adapt to new tools and frameworks. Stay current with emerging technologies and industry best practices to continuously improve engineering practices. Ensure operational excellence and best customer experience for all the products and systems owned by the team. Experience You’ll Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field. 7+ years of software engineering experience designing, developing, and supporting enterprise-scale applications. Strong experience building cloud-based applications and infrastructure using infrastructure-as-code practices. Proficiency with event streaming platforms such as Kafka. Experience with Elasticsearch, including indexing strategies, query optimization, and data analysis. Experience working with cloud platforms such as AWS. Strong understanding of software engineering principles, including data structures, algorithms, object-oriented design, scalability, availability, and reliability. Strong problem-solving skills with the ability to analyze complex technical challenges. Excellent written and verbal communication skills with a collaborative mindset. Preferred Qualifications Master’s degree in Computer Science, Software Engineering, or a related field. 8+ years of software engineering experience. Experience and knowledge in building Agentic/AI solutions for real world problems. Experience designing and implementing event-driven architectures. Experience working with card payments or financial services platforms. Hands-on experience with cloud-native technologies including Docker and Kubernetes. Knowledge of API security principles and PCI DSS compliance requirements. Experience working within existing codebases and improving legacy systems. Strong backend development expertise with Java or C#, including frameworks such as Spring Boot. Experience designing, building, and optimizing RESTful APIs, OData services, and SQL-based solutions. Proven experience developing internet-scale services with a focus on scalability, security, availability, and reliability. 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

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. ● 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. ● Learn our team’s process and best practices, and apply them to given tasks with help from peers and your manager. ● Partner with and assist your peers on completing tasks. ● Focus on continuous learning of new technologies. Required Qualifications: ● Bachelor's degree in Computer Science, Software Engineering, or related field; OR demonstrable equivalent experience. ● At least 3 year of 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) Technology Nice-To-Have or Dedicate to Learning Quickly: ● Kubernetes ● Helm/ArgoCD ● Terraform ● GitHub Actions ● NoSQL databases ● GraphQL ● Azure ● Docker ● Modern RDBMS (i.e. MS SQL, Postgres, MySQL) ● ASP.NET RESTful API design ● Kafka / event-driven design ● Modern Web UI Frameworks and Libraries (i.e. Angular, React)

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Boston, MA; San Francisco Bay Area, CA; Dallas, TX; Salt Lake City, UT; Seattle, WA; and Portland, ME About the Team/Role We are seeking a seasoned Sr. Software Engineer in the North America Mobility organization. This role will sit in the Platform team that focuses on building AI Platform to support the feature development team to build robust features faster. You will contribute to the architecting and realization of our next-generation Agentic AI Platform. Within this capacity, you will be responsible for the design, development, and deployment of autonomous AI agents, skills, MCP servers, AI tools engineered for advanced reasoning, strategic planning, and the orchestration of intricate financial and operational workflows. Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX to deliver highly intelligent, proactive solutions to an expansive global user base. Our Platform team is dedicated to architecting scalable, robust, and maintainable UI and API platform solutions that empower internal feature development teams to build at velocity. Within the NAM Mobility ecosystem, our products facilitate strategic credit issuance to fleet organizations and their workforce through WEX-branded or co-branded credit instruments, accepted across a vast network of fueling stations and merchant partners. We provide fleet managers and operators with advanced spend orchestration capabilities, encompassing fuel discounts and sophisticated spend controls that permit precise configuration of merchant restrictions, transaction limits, and velocity thresholds to optimize operational efficiency. How you’ll make an impact: Design, develop, and maintain robust, scalable, and high-performance object oriented code in our backend services. Develop public REST APIs using Java and internal gRPC APIs for inter-service and inter-system communication. Craft systems designs, lead design decisions, and drive alignment with other senior engineers. Write automated unit tests, integration tests, end-to-end tests, concurrency tests, load/performance tests. Analyze existing systems to identify bottlenecks, tech debt, and implement scalability, and stability improvements. Implement automation for testing, monitoring, healing, and scaling applications, continuous integration and deployment to reduce time to market. Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement new features. Conduct code reviews (comment, approve, seek revisions, merge), mentor junior and mid-level engineers, and actively promote engineering best practices. Dive deep and troubleshoot complex issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability. Conduct objective and comparative analyses of competing technologies to advise the team of pros and cons of a technology solution. Maintain robust documentation (design docs, run books, change management docs, and readiness plans). Provide live-site support for production applications by monitoring systems, ensuring rapid incident resolution, and driving continuous improvement. Drive cross-team projects as a single-threaded-owner (STO) or tech lead, and actively unblock other engineers to make progress. Agentic AI & Intelligent Systems : Design and build agentic AI systems and services, enabling autonomous workflows, reasoning, and task execution within Mobility platforms. Develop AI agents from scratch, including orchestration, tool usage, memory, and multi-step decision-making capabilities. Implement and scale multi-agent architectures to support complex, distributed use cases across payments and fleet ecosystems. Integrate systems using Model Context Protocol (MCP) or similar frameworks to enable secure and scalable interaction between AI agents, APIs, and enterprise data sources. Build and optimize LLM-powered services (e.g., OpenAI APIs, LangChain) for production-grade performance, reliability, and cost efficiency. Implement evaluation frameworks, observability, and guardrails to ensure correctness, safety, and compliance of AI-driven systems. Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: Bachelor’s degree in Computer Science or Software Engineering 5–8 years of professional experience in software engineering Strong understanding of data structures and algorithms, object-oriented design, and problem-solving skills Expertise in designing and developing internet-scale services with scalability, availability, security, and reliability design tenets Excellent written and verbal communication skills, and a collaborative and empathetic mindset Proficiency in backend development, with expertise in Java or C#, frameworks like SpringBoot, building and optimizing RESTful APIs, ODATA framework, and SQL Agentic AI & MCP Experience: Hands-on experience building or contributing to AI/LLM-powered applications or agent-based systems Familiarity with agent frameworks, tool-use patterns, and orchestration of LLM workflows Experience integrating AI systems with external tools/APIs using MCP or similar protocols Understanding of prompt engineering, embeddings, and vector-based retrieval systems Experience designing systems for scaling AI workloads in production environments Preferred Qualifications Master’s degree in computer science or software engineering 8+ years of experience in software engineering Experience with Python, Java, event-driven architecture and tools like Kafka Experience working on card payments Familiarity with cloud-native architecture (containerization using tools such as Docker and Kubernetes) Awareness of API security and PCI DSS compliance requirements Ability to work on existing codebase, contribute improvements, and adapt to legacy systems’ constraints Nice to Have (AI Focus): Experience building AI skills & deploying AI solutions to production environments Experience building production-grade AI agents or copilots Familiarity with multi-agent systems and distributed AI architectures Experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, Milvus) Knowledge of AI evaluation techniques, safety practices, and responsible AI principles 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: $121,500.00 - $145,500.00

Software Engineering Manager Drive Innovation. Lead Change. Build the Future of Payments. At WEX, we’re redefining what’s possible in the payments industry. As a Software Engineering Manager, you’ll play a key role in shaping the future of our evolving payments platform. Working with cutting-edge technology, you'll be part of a dynamic, fast-paced team that thrives on solving complex problems and delivering scalable, high-performance solutions. About the Role In this role, you’ll be an innovator and a leader, delivering new functionality for our customers while supporting and modernizing our platform; you will tackle complex engineering challenges at scale, processing millions of transactions daily on a platform that meets aggressive uptime SLAs. How You'll Make an Impact People Leadership Lead a cross-functional team of Engineers to design, develop, QA, deploy and maintain the payments platform. Mentor and grow engineers through regular 1:1s, actionable feedback, and deliberate stretch opportunities. Build a safe, accountable culture where high standards and psychological safety coexist. Enable autonomy by clarifying intent and guardrails, removing obstacles and then trusting your team to make decisions. Have the hard conversations regarding performance or behaviour with directness and empathy. Technical Leadership Spend meaningful time hands-on each week, pairing on complex problems, leading design sessions and pairing on critical issues. Be the person your team comes to for hard technical calls - you don't defer every decision to a tech lead. Model engineering excellence through deep, constructive code reviews that teach as well as critique. Champion responsible, secure adoption of AI tools across the SDLC to accelerate delivery and improve quality. Play a key role in our architectural direction, evolving our platform to become cloud-native and event-driven. Continuously explore new technologies to improve our platform and processes. Delivery & Operations Work with the Product team to translate business requirements into functional, scalable solutions. Collaborate with your talented peer group to build solutions that are robust, maintainable and future-proof. Ensure your team delivers reliably, removing friction by unblocking work, reducing tech debt, and streamlining processes to maintain flow. Ensure availability of the platform through leadership of incident management as required. Promote resilient architecture and operational excellence across services. What You’ll Bring Essential Proven track record leading and developing high-performing software engineering teams. Proven hands-on experience in writing clean, scalable, performant, high quality code. Deep expertise in modern software engineering practices, cloud platforms, and DevOps approaches including test and deployment automation. Excellent stakeholder management and communication skills. A collaborative mindset with a passion for learning and problem-solving. Preferred Background in supporting highly transactional, highly available, low latency systems. Experience with C#/.NET and MSSQL are highly advantageous. Why WEX? At WEX, we believe that diversity drives innovation. We are a global company that celebrates different perspectives, experiences, and backgrounds. Here, you’ll find a supportive, inclusive environment where your ideas are valued, and your growth is prioritized. You’ll collaborate with teams from around the world, expanding your skills and your horizons. We offer flexible work arrangements, professional development opportunities, and a culture that fosters inclusion and belonging. Join us in building the future of payments—together.

As a Sr. Staff AI Platform Engineer, you are first and foremost a Systems Architect. Your mission is to design and build the high-performance software foundation that powers the enterprise. While your core expertise lies in distributed systems, cloud-native architecture, and platform engineering, you will apply these skills specifically to the "Context Layer"—the specialized infrastructure required to fuel next-generation Agentic AI workflows. You will operate at the intersection of Systems Programming and Modern AI Infrastructure, solving "hard-tech" problems like real-time data orchestration, automated metadata evolution, and multi-cloud compute optimization. This is a "platform-as-a-product" role; you build the tools, SDKs, and engines that enable hundreds of other engineers to build autonomous agents with ease. Key Responsibilities AI Platform Strategy & Context Retrieval: Define and own the 3–5 year technical roadmap for our high-scale, AI-ready Data Lakehouse. This platform must be explicitly optimized for AI Agent operations and efficient context retrieval, delivering low-latency, high-throughput data access essential for vector databases and LLM-driven applications. Systems & Agentic R&D: Prototype and benchmark emerging trends in the AI ecosystem. You will evaluate next-generation architectural patterns such as Multi-Agent Orchestration, autonomous long-term memory management, and specialized Agent Evaluation frameworks to ensure the platform remains at the cutting edge. Engineering Excellence: Set the gold standard for code quality, CI/CD, and system design across the organization. You will lead cross-functional architecture reviews and serve as the final escalation point for the most complex technical bottlenecks. Specialized AI & Agentic Responsibilities Agentic Ecosystem Enablement: Design the platform-level interfaces required for Agentic workflows, focusing on standardized "Host-to-Server" communication and tool-execution environments. This includes building robust "Human-in-the-Loop" (HITL) triggers and fail-safe mechanisms for autonomous actions. Contextual Infrastructure: Build the "Context Fabric" that allows AI agents to securely discover, access, and interpret enterprise data. You will architect systems that move beyond basic search into Reasoning-based Retrieval, where the platform understands the intent behind an agent's query. Protocol & Trend Standardization: Implement and advocate for emerging standards like the Model Context Protocol (MCP) to ensure interoperability. You will stay ahead of trends such as Small Language Models (SLMs) for edge-compute and Agentic RAG, ensuring the platform can pivot as the industry evolves. Qualifications & Experience Software Engineering Foundation Expert Software Engineering: 15+ years in software engineering. You are an expert in Java or Scala (distributed systems focus) and Python. Systems Architecture: Deep experience building extensible frameworks, high-throughput APIs, and libraries used by other developers. You prioritize building "software-defined infrastructure" over manual configuration. Agentic Development & Emerging Trends (Specialized Plus) Agentic Design Patterns: Hands-on experience with the latest trends in agent development, such as Multi-Agent Orchestration (using frameworks like LangGraph or CrewAI) and the transition from static RAG to Agentic RAG. Protocol Interoperability: Knowledge of the Model Context Protocol (MCP) and other emerging standards that allow AI agents to interact with diverse data sources and tools in a plug-and-play manner. AI-Ops Integration: Experience building "AI-native" CI/CD features, such as automated LLM-based evaluations (evaluating agent reasoning paths in the build pipeline) and Automated Root-Cause Analysis for system failures. Human-in-the-Loop (HITL): Understanding of how to build automated workflows that pause agent actions for human approval, ensuring safety and governance for autonomous systems. CI/CD & Platform Ops Mastery (Core Focus) GitOps & Continuous Delivery: Expert-level experience with GitOps workflows (e.g., ArgoCD or Flux) to ensure that all platform configurations—including AI prompt templates and model parameters—are versioned, audited, and automatically reconciled. Infrastructure-as-Code (IaC) at Scale: Mastery of Terraform. You don't just write scripts; you build modular, reusable libraries that enforce organizational security and cost-efficiency standards across hundreds of cloud accounts. Modern CI Pipelines: Proficiency in designing complex pipelines (e.g., GitHub Actions, GitLab CI) that integrate automated testing, security scanning, and deployment gates for high-availability systems. Unified Observability: Experience with OpenTelemetry (OTel) to build deep visibility into distributed systems. You focus on tracking both system performance and business-centric AI metrics (e.g., success rates of autonomous tasks). Cloud Platform Expertise (AWS & Azure) Cloud Console & Service Mastery: Deep proficiency in navigating and configuring the AWS and Azure Management Consoles. You have a comprehensive understanding of how to architect, secure, and optimize core services (IAM, EC2/VMs, S3/Blob, and specialized AI/ML service suites) natively within both ecosystems. Cloud-Agnostic Abstraction: Proven ability to build platform layers that bridge AWS and Azure, allowing for seamless deployment and management across a multi-cloud environment. Governance & Cost Optimization: Experience using cloud-native tools (AWS CloudWatch, Azure Monitor, Cost Explorer) to manage platform health, security posture, and spend at an enterprise scale. Leadership & Education Influence: A proven track record of "leading by influence"—driving adoption of new technologies across multiple autonomous teams. Communication: Ability to communicate complex architectural trade-offs (e.g., "Latency vs. Consistency") to both C-suite executives and engineers. Education: Bachelor’s or Master’s degree in Computer Science (Distributed Systems focus) preferred, or equivalent deep industry experience. 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: $220,000.00 - $255,800.00

About the Team/Role We are seeking a Software Engineer in the WEX Corporate Payments Engineering organization. This role will be a key software engineer responsible for helping develop, drive, and execute software solutions within the WEX Bill Pay platform engineering team. Bill Pay is a SaaS solution for technology and service providers in the consumer bill payment space that facilitates the collection and delivery of consumer payments. How you'll make an impact: Help develop, drive, and execute the long-term vision and strategy for the Corporate Payments cross-cutting and core services. Collaboratively define and implement the architectural roadmap for the Bill Pay platform, aligning with business objectives, industry best practices, and other Corporate Payments engineering teams. Design, develop, and maintain scalable Java and Spring Boot applications running in AWS Cloud. Build and enhance event-driven services using Apache Kafka. Develop and maintain database solutions using PostgreSQL and Oracle, including SQL development and Oracle stored procedures. Foster a culture of innovation, collaboration, empowerment, and continuous learning within the engineering team. Continuously challenge the status quo and implement engineering practices that reduce time-to-market while maintaining quality and reliability. Collaborate with other Corporate Payments engineering teams to reuse development practices, services, and components to reduce duplication. Experience you'll bring: 2+ years of professional software engineering experience. Strong experience developing applications using Java and Spring Boot. Experience developing and deploying applications on AWS Cloud. Experience building event-driven applications using Apache Kafka. Experience developing and supporting applications using PostgreSQL and Oracle Database, including Oracle stored procedures and SQL optimization. Experience writing high-quality automated tests, including unit, component, and integration tests, with a strong understanding of the test pyramid. Strong understanding of software design principles, security, and compliance requirements in cloud and data environments. Excellent problem-solving, collaboration, and technical communication skills. Ability to work effectively in a fast-paced, agile environment with changing priorities. Preferred Qualifications: Experience building applications in the financial services or payments industry, including bill pay, credit card, accounts receivable, or accounts payable solutions. Experience developing cloud-native SaaS applications. Experience working with geographically distributed engineering teams. 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: $96,100.00 - $115,500.00