Staff Software Engineer, AI – Backend

🕒 il y a 2 jours

🗣️🇺🇸🇬🇧 Anglais requis

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WEX

5001 - 10000 employés

Fondée en 1983

🚗 Transport

💸 Finance

💳 Fintech

💰 €310 000 000 Post-IPO Debt en 2020-06

Transport • Finance • Fintech

WEX est une plateforme mondiale de commerce spécialisée dans diverses solutions commerciales pour relever les défis opérationnels. Elle propose des services de gestion et de mobilisation des flottes avec ses systèmes de cartes carburant, offrant une gestion de flotte complète et des analyses approfondies. De plus, elle se concentre sur des solutions de paiements pour les entreprises qui simplifient les processus dans différents secteurs, améliorant l'efficacité et la sécurité. WEX est également impliquée dans l'administration des avantages sociaux pour les employés, aidant les organisations à gérer efficacement les comptes santé et de remboursement. La gamme diversifiée de services de WEX répond à de nombreux secteurs, mettant l'accent sur l'innovation, la durabilité et des solutions efficaces pour la croissance des entreprises.

Description

• 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.

🎯 Exigences

• 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 proficiency expertise in Java or C#, and frameworks like SpringBoot, building and optimizing RESTful APIs, ODATA framework, and SQL • Ability to leverage AI-enabled development tools such as Cursor AI, Kiro and GitHub Copilot to accelerate feature delivery, automate documentation, and enhance code quality. • Master’s degree in computer science or software engineering is preferred • 10 years of experience in software engineering is preferred • Experience with event-driven architecture and tools like Kafka is preferred • Experience working on card payments is preferred • Familiarity with cloud-native architecture (containerization using tools such as Docker and Kubernetes) is preferred • Awareness of API security and PCI DSS compliance requirements is preferred • Familiarity with mobile development (iOS or Android) is preferred • Experience building AI skills & deploying AI solutions to production environments is preferred • Experience building production-grade AI agents or copilots is preferred • Familiarity with multi-agent systems and distributed AI architectures is preferred • Experience with vector databases (e.g., Pinecone, Weaviate, OpenSearch, Milvus) is preferred • Knowledge of AI evaluation techniques, safety practices, and responsible AI principles is preferred.

🏖️ Avantages

• health, dental and vision insurances • retirement savings plan • paid time off • health savings account • flexible spending accounts • life insurance • disability insurance • tuition reimbursement • more

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