Software Development Engineer 1

The interview process typically involves multiple rounds, including technical and behavioral questions. The company looks for candidates with strong problem-solving skills, excellent communication and collaboration skills, and a willingness to learn and adapt to new technologies.

WEX promotes a collaborative and inclusive work environment, with opportunities for growth and professional development. The company values work-life balance and offers flexible work arrangements.

Bachelor's degree in Computer Science, Software Engineering, or related field. OR demonstrable equivalent deep understanding, experience, and capability. 1 year of experience in software engineering is a plus.

Round 1: ... → Round 2: ... → Round 3: HR (based on company knowledge)

WEX is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including big data, AI, and Risk. Team Overview Risk Platform’s agile engineering teams build the services, system integrations and analytic tools that enable WEX products and business lines to make smart risk decisions at scale as they grow. Major platform systems include credit decisioning, credit portfolio management, fraud detection, risk data analytics, compliance, and collections. Risk Platform engineers address the needs of our business partners by designing, building and deploying scalable, observable solutions utilizing modern, cloud-based service architectures and leveraging WEX’s world-class AI and big data platforms. Position Summary We are looking for a highly motivated and highly potential entry level Engineer to join our Risk Engineering team to make big business impacts and grow your area. This is a really exciting time to be in the Risk Engineering team at WEX. Wex has sophisticated business and products empowering a wide variety of customer businesses. Data generated from these production systems, applications, and platforms are rich and complex. As one of the most valuable assets of Wex, the data provides huge potential values for our customers and business. It’s the Risk team’s responsibility to build Risk, platforms, systems, and tools to clean, process, enrich, and optimize the core company data, and make them easy and efficient to use to enable Wex customers and internal teams to generate customer and business values. We build value added data products for Wex customers too. We leverage advanced technologies from the industry to ensure our efficiency and effectiveness, including modern big data technologies and AI technologies. We have challenging problems with huge business impact potentials for you to work on and grow. We also have a strong team with highly talented and skillful engineers and leaders to support, guide, coach you. If you dream to be a strong engineer who can solve tough problems, generate big impacts, and grow fast, this is a great opportunity for you! How you'll make an impact : Collaborate with stakeholders to learn about our customers biggest challenges. Learn and practice design, test, code, and instrument new data products/systems/platforms at small to medium complexity level. Learn ways to effectively measure, inspect, and drive decisions using data. Learn and develop and maintain CI/CD pipelines using tools such as GitHub Actions. Learn and implement Infrastructure as Code (IaC) using tools like Terraform, including provisioning and managing cloud-based data infrastructure. Practice software development with TDD and BDD, Microservice and Vertical Slice Architectures. Learn to support live data products/systems/platforms, promote proactive monitoring, rapid incident response, and continuous improvement. Learn to analyze existing systems and processes to identify bottlenecks and opportunities for improvements. Learn from your peers, foster continuous learning within your team and organization. Learn our team’s process and best practices, and apply them to given tasks with help from peers and your manager. Make sure to 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 and assist your peers on completing tasks. Focus on continuous learning of new technologies. Proactively seek reviews from senior engineers on your work to ensure quality. Learn and build reliable, secure, 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. Learn and 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 learn and build data quality measurement & monitoring techniques and systems, metadata and data catalog, Master Data Management, etc. Learn and master common big data technologies, tools, and software packages, including proper integrations with Wex systems and proper execution in an engineering way. Learn data modeling techniques and use them to design/implement efficient and easy to use data models and structures. Experience you will bring Bachelor's degree in Computer Science, Software Engineering, or related field. OR demonstrable equivalent deep understanding, experience, and capability. 1 year of experience in software engineering is a plus. Strong problem-solving skills, excellent communication and collaboration skills. Capable of designing a good solution for a small/medium scale problem or component. Strong implementation skills using languages like Java, C#, Golang, & Python, including coding, automated testing, measurement and monitoring. Good understanding of data ingestion, cleaning, processing, enrichment, serving, quality assurance techniques and tools, such as data pipeline development, SQL & relational algebra, DBs, ELT. Some knowledge of data warehousing concepts and dimensional modeling. Passionate about keeping up with modern technologies and design. Interested in data and data processing. Strong willingness and capability to learn new technology and tools quickly when needed. Passionate about keeping up with modern technologies and design. Interested in data, big data technology, cloud technology. Passionate about understanding and solving customer/business problems.