• Develop, drive and execute a long-term vision and strategy for the Corporate Payments cross-cutting and core services • Collaboratively define and implement a comprehensive architectural roadmap for our platforms, aligning with business objectives, industry best practices, and other Corporate Payments teams • Foster a culture of innovation, collaboration, empowerment, and continuous learning within the engineering teams • Continuously challenge the status quo and implement mechanisms to reduce time-to-market using efficient engineering methods • Collaborate with other Corporate Payments engineering teams to reuse development practices and components to reduce duplication • Craft, lead, manage, and grow high-performance engineering teams • Hire, coach, promote, and retain high performers to achieve WEX goals • Work closely with product and commercial partners to drive, prioritize, and work backwards from the customer requirements and exceed expected outcomes • Drive effective monthly, weekly, and quarterly mechanisms to plan, execute, and audit work streams • Establish a robust and clear engineering roadmap to maintain clarity and motivation for the engineering team • Maintain career growth plans and provide monthly and quarterly feedback for individuals’ continual progress.

Role Description We are hiring an Engineering Lead with deep backend expertise and strong fluency across modern web stacks. This role is ideal for someone who thrives on technical challenges, loves building scalable systems, and enjoys collaborating with product, design, and client teams. You'll work both independently and with small teams, depending on the project, write production code, and play a key role in steering technical direction. Core Responsibilities - Technical Leadership & Development - Design and build AI-powered tools and automations that streamline internal business processes (HR, Finance, etc.), working directly with stakeholders to identify opportunities. - Evaluate where LLM orchestration, chat interfaces, or multimodal AI genuinely adds value versus where standard software engineering is the right answer. - Design async processing pipelines, batch workflows, and decoupled service architectures suited to internal tooling at scale. - Oversee day-to-day engineering work, keeping the team unblocked and aligned on priorities. - Architect scalable backend systems using languages and frameworks such as Python and Java. Experience with Kotlin is a plus. - Contribute to frontend work using React and TypeScript as needed. - Drive decision-making around performance, scalability, and system design. - Write clean, maintainable code and ensure engineering best practices are followed. - Lead technical documentation, sprint planning, and ongoing delivery. - Collaboration & Client Engagement - Partner with product managers and designers to define and scope solutions. - Lead client-facing conversations around technical strategy and progress. - Present work during demos, milestone check-ins, and roadmap reviews. - Balance business needs with technical feasibility in collaborative planning sessions. - Team Mentorship & Culture - Provide regular feedback and guidance to engineers. - Contribute to hiring, onboarding, and leveling processes. - Help foster a strong, inclusive engineering culture rooted in transparency and accountability. - Identify opportunities to improve our tools, processes, and technical standards. Qualifications - 7+ years of professional engineering experience. - English proficiency. - Familiarity with AI/LLM integration patterns: orchestration frameworks, MCP, output quality management, and prompt engineering. - Ability to take a vague brief, ask the right clarifying questions, form a plan, and deliver a working system without heavy supervision. - Experience building real systems end-to-end and can point to specific examples. Past experience with internal tools or automation platforms is a strong plus. - Experience with access control design (RBAC, zero trust principles), data sensitivity considerations, and API gateway patterns. - Experience with Python and Java, including system architecture and performance optimization. Kotlin experience is a plus. - Strong knowledge of React, NextJS, and TypeScript. - Backend experience with APIs, databases (SQL/NoSQL), cloud services (AWS, GCP), and distributed systems. - Experience with service-oriented architecture, API gateway patterns, and inter-service communication (GraphQL, gRPC, or similar). - Effective communication with both technical and non-technical audiences and comfortable leading presentations and deep-dive technical discussions. - Understanding of how to compromise on business trade-offs and technical decisions. - Ability to design and communicate robust, scalable technical solutions that internal and client teams understand and want to work on. - Comfortable dealing with uncertainty and capable of disambiguating complex scope and domains to your team. - Care about people and motivated to help team members achieve success on projects. Bonus Skills - Experience with LLM orchestration, agent frameworks, or building AI-augmented internal tools. - Opinions (even contrarian ones) on the current AI tooling landscape. - Experience building creator platforms, media tools, or community-driven products. - Interest in developer experience, automation, or DevOps tooling. Benefits - Flexible working hours and a remote-friendly culture. - Flexible time-off allowance for vacation, sick days, and personal time as needed.

• Lead a team of engineers to build, scale, and maintain payments infrastructure and internal tools used by 100s of users • Apply your deep full-stack (FE/BE) building experience to ensure technical excellence across our platforms • Shape our engineering culture and hold a strong performance bar to support Rula's mission of making mental healthcare work for everyone

Role Description We are looking for a Machine Learning Lead (Engineering) focused on building and delivering production-grade ML-powered applications. This role is not about research or experimentation. You will be responsible for turning ML models into reliable, scalable, user-facing services. You will work at the intersection of machine learning and backend engineering, owning the full lifecycle of ML-powered features — from integration to deployment and operation in production. Job Responsibilities - Design and build production ML services (APIs, microservices, real-time systems) - Integrate ML models into user-facing applications - Ensure reliability, scalability, and performance of ML-powered systems - Define and implement best practices for serving, versioning, and monitoring models in production - Collaborate closely with: - ML engineers / data scientists (who develop models) - DevOps / MLOps team (who provide platform and infrastructure) - Own the delivery pipeline of ML features into production - Lead and mentor engineers working on ML-powered applications - Drive architectural decisions around low-latency and high-load systems - Identify bottlenecks between experimentation and production and eliminate them Qualifications - 5+ years of experience in software engineering / ML engineering - Strong experience building production backend systems (Python preferred) - Hands-on experience deploying and serving ML models in production - Experience with API development (FastAPI, Flask, gRPC, etc.) - Understanding of system design, scalability, and high-load environments - Experience working with ML pipelines and model lifecycle - Ability to bridge the gap between ML and engineering teams - Experience in a Lead or Senior role (mentoring, ownership, decision-making) Requirements - Experience with real-time ML systems (recommendations, ranking, personalization) - Experience in video streaming or high-throughput platforms - Familiarity with Kubernetes and cloud/on-prem environments - Experience with feature stores, model monitoring, A/B testing - Experience working alongside MLOps platforms (MLflow, Airflow, etc.) Benefits - Full remote work - Competitive compensation with a service contract - Transparent performance reviews twice a year, with bonus opportunities and salary adjustments - An annual allowance for home office improvements, sports activities, equipment upgrades, and more - Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage - Career growth in a fast-scaling project with opportunities to influence technical decisions - A culture of recognition: our peer reward program celebrates contributions from across the team