
5001 - 10000 employees
Founded 1983
🚗 Transport
💸 Finance
💳 Fintech
💰 $310M Post-IPO Debt on 2020-06
Transport • Finance • Fintech
WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.
🕒 May 13
🏄 California, Maine, +4 more states – Remote
💵 $140.6k - $173.1k / year
⏰ Full Time
🔴 Lead
🔙 Backend Engineer
🦅 H1B Visa Sponsor
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5001 - 10000 employees
Founded 1983
🚗 Transport
💸 Finance
💳 Fintech
💰 $310M Post-IPO Debt on 2020-06
Transport • Finance • Fintech
WEX is a global commerce platform specializing in various business solutions to address operational challenges. They provide services in managing and mobilizing fleets with their fuel card systems, offering comprehensive fleet management and analytics. Additionally, they focus on business payments solutions that streamline processes across industries, enhancing efficiency and security. WEX is also involved in employee benefits administration, helping organizations effectively manage health and reimbursement accounts. Their diverse range of services caters to numerous sectors, emphasizing innovation, sustainability, and effective solutions for business growth.
• 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.
• Bachelor’s degree in Computer Science or Software Engineering • 8-10 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 • 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
• health, dental and vision insurances • retirement savings plan • paid time off • health savings account • flexible spending accounts • life insurance • disability insurance • tuition reimbursement
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