10 open positions available
Design, develop, and maintain scalable backend services and APIs for mobile and web applications. | Senior-level experience with Java, Spring Boot, REST APIs, distributed systems, and mentoring engineers. | About The Team/Role We're looking for a Staff Software Engineer with deep expertise in backend development to join our 10-4 by WEX team. You will play a key role in designing, developing, and operating highly scalable, secure, and resilient backend services that power our mobile and web applications. You will work closely with mobile, web, product, and platform engineering teams to deliver APIs and distributed systems that provide seamless customer experiences. Our platform helps owner-operators and small fleets save money on fuel through one of the industry's largest fuel discount networks. The mobile application enables truck drivers to discover participating fuel locations, activate discounts, manage payment methods, view transaction history, and access real-time fuel pricing and savings. As a Staff Software Engineer, you'll build the backend services and APIs that power these experiences, ensuring they are secure, scalable, highly available, and capable of supporting a growing user base while delivering a reliable and seamless experience for drivers on the road. How You’ll Make An Impact • Design, develop, and maintain scalable, secure, and high-performance backend services using Java, Spring Boot, PostgreSQL, and REST APIs. • Architect and build distributed microservices that are resilient, observable, and easy to maintain. • Design REST APIs that enable seamless integration with mobile applications, web applications, and external partner systems. • Lead architecture and system design discussions, producing high-quality design documents and driving alignment across engineering teams. • Optimize database design, queries, indexing strategies, and transaction management to improve performance and scalability. • Develop comprehensive automated testing strategies, including unit, integration, contract, performance, and load testing. • Improve application reliability by implementing observability, logging, distributed tracing, health monitoring, and alerting. • Identify technical debt, scalability bottlenecks, and reliability risks, and drive continuous platform improvements. • Build and enhance CI/CD pipelines, deployment automation, infrastructure automation, and engineering productivity tools. • Partner closely with Product, Mobile, Web, Security, Infrastructure, and DevOps teams to deliver high-quality customer experiences. • Lead code reviews, mentor engineers, establish engineering best practices, and raise the overall quality bar across the organization. • Troubleshoot complex production issues, perform root cause analysis, implement corrective actions, and improve operational excellence. • Evaluate emerging technologies and architectural approaches, providing technical recommendations based on business and engineering needs. • Create and maintain technical documentation including architecture documents, API specifications, runbooks, operational guides, and readiness plans. • Design highly available services with appropriate resilience patterns including retries, circuit breakers, caching, rate limiting, and graceful degradation. • Drive cross-functional initiatives as a technical lead or Single-Threaded Owner (STO), helping unblock teams and ensuring successful delivery. • Gain hands-on experience with automation and AI-assisted software engineering solutions. Experience You'll Bring • Bachelor's degree in Computer Science, Software Engineering, or a related field. • 8–10 years of professional software engineering experience. • Strong expertise in Java and Spring Boot for building enterprise-grade backend applications. • Experience designing and developing RESTful APIs and distributed microservices. • Strong understanding of object-oriented design, data structures, algorithms, and software design principles. • Experience with PostgreSQL or other relational databases, including schema design, query optimization, indexing, and transaction management. • Experience building scalable, secure, highly available, and fault-tolerant distributed systems. • Strong understanding of authentication, authorization, API security, OAuth2, JWT, and secure software development practices. • Experience with asynchronous messaging technologies such as Kafka, RabbitMQ, or similar event-driven platforms. • Familiarity with caching technologies such as Redis and distributed caching strategies. • Experience with CI/CD pipelines, automated testing, code quality tools, and modern software delivery practices. • Understanding of observability technologies including logging, metrics, tracing, monitoring, and alerting. • Experience collaborating with mobile engineering teams and designing APIs optimized for iOS and Android applications. • Excellent communication, collaboration, mentoring, and technical leadership skills. • Hands-on experience leveraging AI coding assistants and development tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate software development, refactoring, and code generation. Preferred Qualifications • Master's degree in Computer Science or Software Engineering. • 10+ years of software engineering experience. • Experience with cloud-native application development using AWS, Kubernetes, Docker, and Terraform. • Experience with API Gateways, service mesh technologies, and cloud networking concepts. • Experience with event-driven architectures and distributed systems patterns. • Familiarity with OpenTelemetry, Grafana, Prometheus, or similar observability platforms. • Exposure to mobile application development (Android and/or iOS) with an understanding of mobile architecture, API consumption patterns, offline synchronization, and application performance considerations. • Experience leading technical initiatives across multiple engineering teams and mentoring senior engineers. 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
Design, develop, and maintain scalable web applications and REST APIs with automated testing and troubleshooting production issues. | 5-8 years backend software engineering experience with strong proficiency in cloud-native environments and solid foundation in data structures, algorithms, and web security. | About the Team/Role We’re looking for a Senior Development/Operations Engineer with strong back-end expertise to join our team. We are part of the ‘Connected Fleet’ team, developing tools to assist clients driving towards the modern vehicle experience. In addition to working closely with the Sawatch development team of six, you will regularly interface with other WEX engineering teams. You’ll help design and develop intuitive, performant web and back-end applications and deliver seamless customer experiences that enhance the customer experience. These platforms allow large fleets and transportation companies to operate their fleets more efficiently, prevent and reduce fraud and make data-driven procurement decisions. How you’ll make an impact: Design, develop, and maintain robust, scalable, and high-performance web applications. Develop public REST APIs using Python and Node for inter-service and inter-system communication. Implement comprehensive automated testing strategies, including unit, integration, end-to-end, load, and performance testing. Identify bottlenecks and tech debt; drive incremental scalability, and stability improvements. Develop and enhance automation frameworks for testing, monitoring, auto-scaling, continuous integration and deployment to reduce time to market. Conduct code reviews (comment, approve, seek revisions, merge), and champion engineering best practices, and continuously raise the quality bar. Troubleshoot complex production issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability. Maintain robust documentation (design docs, run books, change management docs, and readiness plans). Experience you'll bring: 5-8 years of professional experience in software engineering. Expertise in backend development, including strong proficiency in Python, Node.js, Go or C++ and building and optimizing RESTful APIs and SQL. Strong foundation in data structures and algorithms, object-oriented design, and problem-solving. Experience with cloud-native environments, including Docker, Kubernetes, or AWS/GCP/Azure. Experience with event-driven architecture and tools like Kafka. Familiarity with relational or NoSQL databases; e.g. SQL, MongoDB. Expertise in designing and developing internet-scale services with scalability, availability, security, and reliability design tenets. Solid understanding of web security fundamentals including authentication, authorization, and data protection. Familiarity with Git, automated testing frameworks, and CI/CD workflows. Clear written and verbal communication skills, and a collaborative and empathetic mindset. Other nice-to-haves: Ability to work within existing codebases with legacy systems constraints. Experience or familiarity with telematics data, time-series data, and/or geospatial data. Experience with micro-frontends or module federation. Experience developing with the assistance of AI-driven tools. Experience working with geographically distributed 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: $140,600.00 - $173,100.00
Lead design and build of semantic data platform and reusable semantic business objects for enterprise data integration. | Requires 10+ years in software engineering with deep expertise in distributed systems, semantic data technologies, and platform leadership. | Principal Software Engineer, Semantic Data Services About the Role WEX is reimagining its enterprise data platform with an ambitious goal: make our data understandable not only to people and applications, but also to AI models and autonomous agents. We are looking for a Principal Software Engineer to help build the next generation of our Data-as-a-Service (DaaS) platform and the semantic foundation that connects enterprise data with its business meaning. In this role, you will help define and build trusted semantic objects for our major business domains-such as customers, accounts, merchants, transactions, vehicles, payments, claims, and risk signals. These objects will bring together data, relationships, business definitions, derived attributes, policies, lineage, and context into reusable assets that can power analytics, data products, decisioning, and AI experiences. You will operate as a senior technical leader and hands-on engineer, partnering with engineers, architects, Product, AI, Analytics, Risk, Finance, and business teams across WEX to solve complex data and distributed systems problems. The space is evolving quickly. We are not looking for someone who has already built an exact version of this platform. We are looking for an engineer with deep data and platform expertise, strong technical judgment, and the ability to help invent what the next generation of enterprise data platforms should become in an AI-native world. How you'll make an impact - Define and influence the architecture and technical direction for WEX's Semantic Data Lake and next generation of Data as a Service. - Design and build semantic business objects that bring together enterprise data, business context, relationships, metrics, derived attributes, rules, lineage, quality, and governance. - Develop scalable patterns and frameworks for creating semantic objects across multiple lines of business while maintaining consistent enterprise standards. - Build core platform capabilities across semantic modeling, ontology, metadata, knowledge graphs, data quality, lineage, data contracts, and governance. - Work deeply with business and product teams to translate complex business concepts into durable technical models and reusable platform capabilities. - Help capture business context that may exist across databases, applications, workflows, documents, policies, and institutional knowledge. - Enable AI and agentic applications to discover, understand, reason over, and safely act on trusted enterprise data. - Design reusable APIs, services, frameworks, and developer experiences that allow teams to build data products and AI experiences faster. - Solve complex distributed systems, data processing, scalability, reliability, and performance challenges. - Establish engineering patterns and architectural standards and influence adoption across teams without relying on direct authority. - Mentor engineers and provide technical guidance on complex architecture and implementation decisions. - Remain hands-on with architecture, design, prototyping, code, and critical platform components. Experience you'll bring - 10+ years of experience in software engineering, data engineering, distributed systems, data platforms, or related technology areas, with demonstrated experience operating at Staff, Principal, or equivalent technical scope. - Deep software engineering and distributed systems expertise, with experience designing and building large-scale production platforms. - Deep understanding of modern data architecture, including large-scale data processing, streaming, lakehouse architectures, data products, and distributed systems. - Deep understanding of semantic data technologies and industry direction is essential. Direct experience building a semantic data layer is strongly recommended. - Experience with semantic modeling, ontology, metadata platforms, knowledge graphs, data catalogs, enterprise data modeling, or closely related technologies. - Demonstrated ability to translate complex business concepts into scalable technical abstractions and reusable platform capabilities. - Strong understanding of data quality, governance, lineage, security, privacy, and operational reliability. - Experience building platforms or capabilities adopted by multiple engineering teams, business domains, or product organizations. - Strong architectural judgment and the ability to reason through complex tradeoffs while moving comfortably between architecture and detailed implementation. - Demonstrated ability to influence technical direction and drive alignment across teams and organizational boundaries. - Strong communication skills with the ability to explain complex technical concepts to engineers, product teams, business partners, and senior leaders. Preferred experience - Experience building platforms that support AI/ML, generative AI, RAG, or agentic applications. - Experience with knowledge representation, semantic search, context engineering, graph technologies, or AI-ready enterprise data. - Experience modernizing large enterprise data ecosystems with multiple business domains and legacy systems. - Experience with technologies such as Spark, Flink, Kafka, Iceberg, Snowflake, Databricks, cloud-native data services, graph databases, or equivalent large-scale data technologies. - Experience defining reusable frameworks, APIs, standards, or platform capabilities that have been broadly adopted beyond an individual team. 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: $200,600.00 - $250,400.00
Own strategy and roadmap for digital platform modernization, collaborate with UX teams, leverage AI for product discovery. | 8+ years experience, bachelor's degree, proven leadership in complex product initiatives with user-centered design integration. | WEX is an innovative payments and technology company leading the way in a rapidly changing environment. Our goal is to simplify the business of running a business for our customers and free them to spend more time, with less worry, on the things they love. We are on a journey to build a unified, world class user experience across our products and services and leverage customer driven innovation to power our growth and strategic initiatives. About the Role: The Senior Product Manager independently owns the strategy, multi-year roadmap, and business outcomes for a critical digital platform modernization initiative, driving the evolution of legacy systems into a unified, high-performance platform. As the product management landscape evolves, the line between product strategy and user experience continues to blur, which is why we are seeking a candidate who brings a hybrid mindset that blends strong product execution with foundational UX design thinking. In this role, you will leverage modern AI tools to accelerate discovery while working shoulder-to-shoulder with UX researchers and designers as a true co-creator of seamless user journeys. Your primary strength lies in navigating ambiguity, influencing senior leadership, and bridging engineering, design, and business teams to execute complex, high-visibility initiatives. Key Qualifications & Skill Highlights: Strategic Vision & Multi-Year Road mapping: Proven ability to establish long-term product strategy, translate company objectives into actionable roadmaps, and independently lead complex, end-to-end Go-To-Market execution. Evolving Product & UX Hybrid Mindset: Deep passion for product-led UX design, customer journey mapping, and usability principles. Operates as an equal co-creator with UX design partners, bringing a design-thinking approach to product discovery and interface refinement. AI Tooling & Workflow Innovation: Advanced proficiency in leveraging generative AI tools and AI-driven platforms to accelerate discovery, automate spec documentation, analyze complex behavioral patterns, and evaluate intelligent feature integrations. Platform Modernization & Scalability: Track record of leading large-scale modernization initiatives, including sunsetting legacy systems, migrating complex customer workflows, and deploying modern digital solutions without operational disruption. Advanced Data & Analytics Proficiency: Expert in using interactive analytics tools and executive dashboards to uncover deep insights, measure post-launch adoption, and drive continuous, data-informed iterations. Strategic Influence & Mentorship: Experienced in driving organizational alignment across business stakeholders, engineering, UX, and executive leadership. Proven capability in guiding and mentoring junior PMs on product methodology, discovery frameworks, and strategic execution. Required Qualifications: Undergraduate degree in business, computer science, design, or a related field. 8+ years of professional experience, with specific experience leading outcomes for complex, multi-faceted product initiatives. Demonstrated expertise in defining and leveraging product metrics to understand performance and deliver on strategic OKRs. Proven track record of close partnership with UX/UI design teams, integrating user-centered design directly into the product discovery lifecycle. Preferred Qualifications: Master’s Degree in business, product management/development/marketing. Proven experience presenting to and influencing executive-level stakeholders. Experience in multi-quarter platform planning and complex Go-To-Market launches. Exposure to Over-The-Road (OTR) payments, commercial card systems, or fleet solutions domain. Agentic AI certification. 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: $125,300.00 - $154,100.00
Design, develop, and maintain scalable backend services and AI platform components with a focus on autonomous AI agents and robust APIs. | Requires 5-8 years software engineering experience, strong backend skills in Java or C#, expertise in scalable service design, and experience with AI/LLM-powered applications. | 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
Design, test, and code software solutions using modern architectures while supporting live applications and mentoring peers. | Bachelor's degree or equivalent with 5+ years in software engineering, strong C# and modern web framework skills, REST API and cloud-native experience. | Please note that we are unable to support visa sponsorship or visa transfers, either now or in the future . Candidates must be authorized to work in the United States without requiring sponsorship at any point during their employment ( No exceptions). Additionally, candidates must reside within a 50-mile radius of one of the following locations: Dallas, TX; Chicago, IL; New York City, NY; San Francisco Bay Area, CA; or Seattle, WA. 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 Test Driver Development and Behavior Driven Development, 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. 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 and analytical skills Excellent communication and collaboration skills. Passionate about keeping up with modern technologies and design. Strong proficiency in Angular and/or 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 Open Worldwide Application Security Project (OWASP) guidelines Proficiency with Git version control and CI/CD pipelines Experience with Agile development methodologies Excellent communication and collaboration abilities Track record of delivering complex projects on schedule Experience in writing performant stored procedures and functions Experience in developing Cloud-Native applications and services Technology Must-Haves: C#, Python (if applicable) 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) Technology Nice-To-Have or Dedicate to Learning Quickly: Kubernetes Helm/ArgoCD Terraform GitHub Actions NoSQL databases GraphQL Azure 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
Lead design and development of scalable data acquisition systems integrating diverse data sources. | 10+ years in software/platform engineering with expertise in distributed systems, data processing, and platform architecture. | 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; San Francisco Bay Area, CA; and Seattle/WA. About The Team/Role As WEX continues to scale its Data-as-a-Service (DaaS) platform, the Data Acquisition Team plays a critical role in enabling secure, scalable, and reliable ingestion of data from hundreds of internal systems and external sources. We are looking for a Senior Staff Software Engineer to architect and lead the next evolution of our data acquisition platform. In this role, you will drive the design of a flexible, extensible ingestion framework that supports batch, streaming, and event-driven pipelines, while ensuring data quality, observability, and governance are built in from the start. This role is ideal for engineers who want to work on foundational platform problems at scale—helping ingest billions of records across diverse systems and powering enterprise-wide analytics, AI, and product experiences. This team sits at the front door of WEX’s data platform—powering everything downstream. You’ll help design the systems that make the rest of the architecture possible: scalable, governed, and intelligent from day one. If you want to work on problems of scale, reliability, and interoperability—this is your role. How you’ll make an impact • Lead the design and development of scalable, high-throughput data acquisition systems that integrate internal and external data sources across domains. • Architect core platform components—such as data routing, transformation orchestration, lineage tracking, and schema evolution—using sound software engineering principles. • Implement a modular ingestion framework capable of supporting streaming and batch pipelines with varying latencies and SLAs. • Provide technical leadership, mentor engineers, and establish best practices in code quality, performance optimization, testing, and platform observability. • Collaborate with domain teams to understand data integration needs and accelerate onboarding through reusable patterns and automation. • Partner closely with the Control Plane and DataOps teams to integrate orchestration, lineage, access control, and validation into the core ingestion process. Experience you’ll bring • 10 years of experience in software or platform engineering with a focus on distributed systems, high-volume data processing, or data platform architecture. • Bachelor's degree in Computer Science, Engineering, or a related field required, Masters degree preferred. • Deep understanding of data acquisition patterns at scale—including change data capture (CDC), event-driven ingestion, streaming frameworks, and asynchronous integration models. • Strong architectural experience with large-scale systems—you’ve built or led platforms that handle tens of millions to billions of records per day. • Experience building internal data platforms or ingestion frameworks that abstract complexity and accelerate domain adoption. • Strong programming expertise in a systems language (e.g., Python, Java, Scala, or Go). • Strong appreciation for platform reliability, security, testability, and documentation as part of scalable engineering. • Experience integrating with a variety of source systems (e.g., CRM, ERP, telemetry, external APIs), and solving for schema evolution, observability, and error recovery. • Excellent communication skills and a passion for building platforms that empower others 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. J-18808-Ljbffr
Lead and manage cybersecurity operations and incident response teams, develop detection engineering and automation, and oversee security programs across diverse environments. | Extensive experience in security operations leadership, incident command, detection engineering, and cybersecurity program management, with strong technical and team leadership skills. | About The Team & Role WEX, Inc. is seeking a Senior Enterprise AI Security Architect to help define the vision, strategy, and provide technical leadership for defining the security strategy, architecture, and governance for Artificial Intelligence (AI) and Machine Learning (ML) across the global enterprise. This individual will serve as a high-level visionary, bridging the gap between business requirements and technical security execution. You will be responsible for designing resilient security architectures that protect WEX’s global assets and people, ensuring robust compliance, while enabling rapid innovation. The successful candidate will serve as a subject matter expert (SME), bridging the gap between Data Science, Software Engineering, and Cyber Security to build a robust Secure AI ecosystem. We’re the Global Information Security Team at WEX, responsible for implementing and operating security technologies and processes throughout WEX. We don’t just operate security tools; we engineer trust. Our team partners with executive leadership and cross-functional engineering groups to ensure WEX is secure by design. We hold ourselves to a high standard of architectural excellence, ensuring that our security posture is proactive, scalable, and resilient. We are looking for a Senior Enterprise AI Security Architect that is responsible for ensuring the secure function of software development, infrastructure deployment, and regulatory alignment. How you’ll make an impact • A Strategic Thinker: You look beyond the immediate need to see the systemic challenge. You design for the next five years, not just the next five months. • A Consultative Partner: You can explain complex security trade-offs to non-technical stakeholders and influence senior leadership. A collaborative, solid communicator who works well with your team and stakeholders to drive projects from inception to completion • A Secure By Design Mindset: You value a "Secure by Design" philosophy and strive to integrate protection layers into the AI lifecycle without hindering the speed of innovation • Someone who cares deeply for team results but is able to work independently to deliver high quality solutions for projects and operational tasks • Comfortable balancing the need to move fast with the realities of working in a highly regulated organization • Someone who thrives in situations where details and accuracy are vital • A skilled worker that has the motivation, expertise, and work ethic to operate independently across global time zones, and who is able to complete tasks and deliverables with minimal oversight • Work closely with Enterprise IT and Product teams on securing WEX's infrastructure and runtime environments • A mentor who enjoys sharing knowledge and can guide engineering teams through the secure implementation of generative AI and multi-agent systems Experience you’ll bring • Have 10+ years of experience in information security, including 3+ years in an enterprise security architecture role with a focus on emerging technologies • Have deep expertise in enterprise security architecture, including designing secure patterns for infrastructure, cloud, network, and identity as they relate to AI model hosting and agentic execution environments • Possess a strong practical understanding of modern cloud and hybrid infrastructure (AWS, Azure), networking, and security engineering principles • Have extensive experience designing solutions that meet security, compliance, and business requirements for generative AI and autonomous systems • Have strong working knowledge of major regulatory and compliance frameworks such as PCI-DSS, NIST, GDPR, SOX, or HITRUST and their evolving application to AI data privacy • Are able to translate regulatory requirements into technical architecture standards and implementation guidance • Have experience reviewing and approving security architecture for complex enterprise systems including Large Language Models and multi-agent workflows • Are comfortable troubleshooting and advising on security or network issues in complex distributed environments including vector databases and inference endpoints • Can drive projects and architectural initiatives independently, meeting delivery timelines for AI security guardrail implementation with minimal supervision • Demonstrate strong written and verbal communication skills, including the ability to influence technical and business stakeholders • Are familiar with ITIL concepts and their application to incident, problem, and change management • Hold relevant industry certifications such as CISSP, CISM, SABSA, CCSP, or equivalent specialized credentials in AI or machine learning security It Would Be Nice If You • Have experience securing AI infrastructure through Infrastructure as Code or have a background in software development with a focus on Python and machine learning libraries • Have hands-on experience with enterprise security tooling, specifically applied to monitoring LLM inference and agentic activity • Have experience designing or securing complex AI and ML systems including Retrieval Augmented Generation architectures and multi-agent autonomous systems • Have experience implementing real-time security guardrails and automated policy enforcement within cloud platforms for AI model deployment • Have contributed to enterprise security strategy, reference architectures, or security standards for the responsible and secure use of generative AI • Have experience mentoring engineers or guiding security architecture reviews across multiple 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: $143,400.00 - $189,100.00
Design and maintain scalable backend applications and REST APIs with focus on stability and CI/CD. | 5-8 years experience in software engineering with Python, Node.js or Go and cloud-native environments. | About the Team/Role We’re looking for a Senior Development/Operations Engineer with strong back-end expertise to join our team. We are part of the ‘Connected Fleet’ team, developing tools to assist clients driving towards the modern vehicle experience. In addition to working closely with the Sawatch development team of six, you will regularly interface with other WEX engineering teams. You’ll help design and develop intuitive, performant web and back-end applications and deliver seamless customer experiences that enhance the customer experience. These platforms allow large fleets and transportation companies to operate their fleets more efficiently, prevent and reduce fraud and make data-driven procurement decisions. How you’ll make an impact: Design, develop, and maintain robust, scalable, and high-performance web applications. Develop public REST APIs using Python and Node for inter-service and inter-system communication. Implement comprehensive automated testing strategies, including unit, integration, end-to-end, load, and performance testing. Identify bottlenecks and tech debt; drive incremental scalability, and stability improvements. Develop and enhance automation frameworks for testing, monitoring, auto-scaling, continuous integration and deployment to reduce time to market. Conduct code reviews (comment, approve, seek revisions, merge), and champion engineering best practices, and continuously raise the quality bar. Troubleshoot complex production issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability. Maintain robust documentation (design docs, run books, change management docs, and readiness plans). Experience you'll bring: 5-8 years of professional experience in software engineering. Expertise in backend development, including strong proficiency in Python, Node.js, Go or C++ and building and optimizing RESTful APIs and SQL. Strong foundation in data structures and algorithms, object-oriented design, and problem-solving. Experience with cloud-native environments, including Docker, Kubernetes, or AWS/GCP/Azure. Experience with event-driven architecture and tools like Kafka. Familiarity with relational or NoSQL databases; e.g. SQL, MongoDB. Expertise in designing and developing internet-scale services with scalability, availability, security, and reliability design tenets. Solid understanding of web security fundamentals including authentication, authorization, and data protection. Familiarity with Git, automated testing frameworks, and CI/CD workflows. Clear written and verbal communication skills, and a collaborative and empathetic mindset. Other nice-to-haves: Ability to work within existing codebases with legacy systems constraints. Experience or familiarity with telematics data, time-series data, and/or geospatial data. Experience with micro-frontends or module federation. Experience developing with the assistance of AI-driven tools. Experience working with geographically distributed 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: $140,600.00 - $173,100.00 WEX is a global commerce platform that helps businesses solve for operational complexities like employee benefits, managing and mobilizing fleets, and streamlining payments. With over 6,500 employees, we work with large and small companies in more than 200 countries and territories, and can tailor our services to meet the unique needs of their businesses. We hire people who share our passion for continuous innovation and client service that is unparalleled in the industry. Offering comprehensive and market competitive benefits, our offerings are designed to support your personal and professional well-being. If you’re looking for a growing career - come be part of WEX today. To learn more about our employee benefits, please click here. WEX is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability or other protected status. WEX promotes a drug-free workplace. Qualified individuals with a disability have the right to request a reasonable accommodation. If you require a reasonable accommodation as a result of your disability at any point in the job application process, please submit your request through our Reasonable Accommodation Request Form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Design and own AI-driven services and agentic workflows with leadership in architecture, cloud infrastructure, and team mentorship. | Senior-level software development experience with strong system design, AI integration, cloud infrastructure, and leadership capabilities. | About The Role At WEX, a Software Development Engineer (SDE) Level 3 is a senior technical leader who designs complete services, solves complex integration problems, and drives the lifecycle of major initiatives from end to end. In this role, you will directly participate in WEX’s fast-paced AI-driven opportunities, acting as a key builder and strategist for next-generation technology. You will champion internal AI adoption by helping build AI-powered sofrware (using tools such as Google Gemini, AWS Agent Core, Claude, and other third-party agentic integrations) while sharing education and coaching within the organization. What You’ll Do AI & Agentic Engineering • Agentic Workflows: Design and deploy multi-agent workflows within AWS Agent Core, effectively handling state management, memory persistence, and complex tool interactions. • AI Leadership & Enablement: Help drive internal education and coaching initiatives for tools with as Google Gemini Enterprise; collaborate with external AI partners on new agentic opportunities. Architecture & System Design • End-to-End Ownership: Design, build, and own the lifecycle of entire services and cross-platform integrations. Solve complex system gaps and drive overarching audit strategies. • Strategic Data Orchestration: Make critical trade-off decisions on data orchestration (e.g., MCP/API, Agents/Skills) based on robust data and requirements. • Resilient Design: Build systems that handle failure gracefully by implementing retries, circuit breakers, and fallbacks. Ensure all designs are testable and maintainable long-term. • Security First: Review code for security flaws and ensure all services adhere strictly to WEX’s authentication standards (e.g., OAuth scopes). Cloud Infrastructure, Reliability & CI/CD • Cost-Aware Cloud Architecture: Design reliable cloud infrastructure (e.g., auto-scaling groups, failover strategies) while proactively avoiding resource over-provisioning. • Deployment & Environment Management: Own the automated deployment package and metadata framework. Write scripts or automation manifests to deploy configurations cleanly across sandbox tiers, preventing environment drift. • CI/CD Optimization: Build and optimize CI/CD pipelines, focusing heavily on reducing build times and tightening feedback loops. • Root Cause Resolution: Capable of solving complex bugs (intermittent issues, race conditions, memory leaks), ensuring the root cause is fixed permanently. • Incident & Operations Leadership: Own Incidents for your services during outages. Create step-by-step triage runbooks and playbooks that empower Tier 1/2 helpdesk teams or junior analysts to resolve common platform errors without escalation. Product Partnership & Technical Leadership • Requirement Definition: Partner with Product Managers who define Functional requirements by owning the Non-Functional requirements (Performance, Security, Scalability) needed to meet business KPIs. • Backlog & Scope Negotiation: Work with PMs to prioritize the backlog, explicitly negotiating the inclusion of "Tech Debt" and "Refactoring" by explaining long-term business risks. Negotiate "Must Haves" vs. "Nice to Haves" to ensure sprint achievability. • Solution-Oriented Mindset: You don't say "No"; you say "Not like that." You offer alternative solutions that respect time and budget constraints. • Empathic Mentorship & Review: Enforce strict quality standards during code reviews with empathy ("Check tone"). Reject sloppy or brittle "quick fixes" while setting the organizational standard for clean design patterns. Proactively mentor SDE 1s and 2s, delegating work specifically to help them grow. • Consensus Building: Facilitate data-driven discussions to resolve engineering disagreements, effectively de-escalating "religious wars" about technology and ensuring "quiet" voices are heard in design meetings. • Continuous Learning: Rapidly learn and apply new languages or frameworks, lead knowledge-sharing sessions, seek out critical feedback, and context-switch effectively across workstreams when project parameters change. 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
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