Senior Software Engineer, Risk

November 18

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WEX

WebsiteLinkedInAll Job Openings

Fleet payments • Heathcare payments • Travel payments • Virtual payments • Corporate payment solutions

5001 - 10000 employees

Founded 1983

🚗 Transport

💸 Finance

💳 Fintech

💰 $310M Post-IPO Debt on 2020-06

Description

• Collaborate with partners and stakeholders to learn about our customers’ business and key challenges • Design, code, test, deploy, and monitor sophisticated processes in a cloud based architecture • Effectively develop and maintain CI/CD automation using tools such as GitHub Actions, Jenkins, Azure DevOps, etc. • Implement Infrastructure as Code (IaC) using tools like Terraform, including provisioning and managing cloud-based data infrastructure • Perform software development with TDD and BDD, Microservice and event oriented architectures • Analyze data, existing systems and processes independently to effectively identify bottlenecks and opportunities for improvements • Mentor and learn from your peers, foster continuous learning of new technology within your team and organization • Help in interviews and provide quality and timely feedback • Strong at our team’s process and best practices, and apply them to given tasks with help from peers and your manager • Proactively understand customer/business problems you try to solve with these tasks, and your design and implementation can actually solve these problems in an effective, reliable, and sustainable way • Partner with, assist, or lead team members in development and problem solving • Lead a scrum team with proper agile development practices, and ensure the high quality and timely development and delivery that solve target problems effectively • Own medium to large complex components or systems/products/platforms • Participate and lead technical discussions • Design and build high quality and efficient systems with craftsmanship • Independently & productively complete work at medium/large complexity level and proactively seek reviews from senior engineers on your work to ensure high quality • Proactively identify and communicate dependencies • Proactively review work from peers and provide constructive feedback/comments • Build reliable, secure, high quality, efficient, and easy to use big data platforms and tools at scale for supporting all kinds of data transferring, ingestion, processing, serving, delivery, consumption, and data governance needs • Build systems, platforms, data pipelines, and tools for E-2-E data life cycle, including data ingestion, cleaning, processing, enrichment, optimization, and serving by leveraging the Data platform • It’s our responsibility to deliver high quality, rich, easy to understand & use data for external and internal purposes • For these, you will build data quality measurement & monitoring techniques and systems, metadata and data catalog, Master Data Management, etc. • 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 • Use data and/or AI technology or tools in your design and development for high productivity and better solution quality

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related field • Master or PhD degree in Computer Science (or related field) and good experience in software engineering or strong experience in software engineering at a large scale • Strong problem-solving skills, excellent communication and collaboration skills • Highly self motivated and eager to learn • Continuous growth and upskilling mindset • Rich experience in designing a high quality, performant, and efficient solution for a medium/large complex level problem • Rich experience and good understanding of CI/CD automation • Experienced in combined engineering practice and agile development • Rich experience and strong implementation skills using languages like Java, C#, or Golang including coding, automated testing, measurement and monitoring • Experienced in TDD approach • Good understanding of data processing techniques, such as data pipeline/platform development, SQL, and DBs • Experienced in cloud technology, such as AWS and Azure • Passionate about understanding and solving customer/business problems

Benefits

• Comprehensive and market competitive benefits • Designed to support personal and professional well-being