Senior DevOps Engineer, Data Platform

We are looking for a highly motivated and highly potential senior Engineer to join our Data team to make big business impacts and grow your career. 
This is a really exciting time to be in the Data 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 Data team’s responsibility to build big data technology, 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 develop and leverage advanced technologies from the industry to ensure our efficiency and effectiveness, including modern big data technologies and AI technologies. We use agile development with the combined engineering approach and the product operating model.
We have challenging problems with huge business impact potentials for you to lead, 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, lead, generate big impacts, and grow fast, this is a great opportunity for you!

How you’ll make an impact

• Collaborate with partners/stakeholders to learn about our customers’ business and key challenges.
• Design, test, code, and instrument new data products/systems/platforms/pipelines at medium to large complexity level.
• Effectively measure, inspect, and drive decisions using data.
• Effectively develop and maintain CI/CD automation using tools such as GitHub Actions.
• 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.
• Support live data products/systems/platforms/pipelines, promote proactive monitoring including high data quality, rapid incident response, and continuous improvement.
• 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/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.
• Use data modeling techniques to design/implement efficient and easy to use data models and structures.
• 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.
• Required Qualifications:
• Bachelor's degree in Computer Science, Software Engineering, or related field. 
• OR demonstrable equivalent deep understanding, experience, and capability.
• 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. Experience in data system/platform development.
• A technically deep, innovative, empathetic, and passionate technical leader able to act and deliver to the business needs.
• Strong problem-solving skills, excellent communication and collaboration skills.
• Highly self motivated and eager to learn. Always watching out for new technologies and adopting appropriate ones for improving your productivities as well as the quality & effectiveness of your deliverables. E.g. good at leveraging GenAI technology and tools for increasing your work productivity and quality, as well as building innovative products/systems for your customers. Lead the team in this regard.
• Rich experience in designing a high quality, performed, 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#, Golang, & Python, 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 data ingestion, cleaning, processing, enrichment, serving, quality assurance techniques and tools, such as data pipeline development, SQL & relational algebra, DBs, ELT.
• Experienced in cloud technology, such as AWS and Azure.
• Good understanding of data warehousing and dimensional modeling, etc.
• Passionate about understanding and solving customer/business problems.
• Understanding of data governance is a plus.

Experience you’ll bring

• Solid understanding of Scrum principles and practices.

• Cloud Infrastructure Management: Extensive hands-on experience with cloud infrastructures in AWS and Azure, with a strong focus on managing infrastructure as code (IaC) using Terraform and implementing CI/CD pipelines using GitHub Actions.

• Understanding of networking and security in the Cloud, such as VPCs, subnets, load balancers, firewalls, Roles, and IAM policies.