Associate Software Engineer

Posted 5 Hours Ago
8 Locations
Remote
Entry level
Fintech • Payments
The Role
The Associate Software Engineer will be part of the Data Lake engineering team, focusing on developing a Data Lakehouse that supports AI and ML initiatives. Responsibilities include collaborating with stakeholders, designing and maintaining infrastructure on AWS and Azure, implementing CI/CD pipelines, and enhancing system performance. This role is ideal for entry-level candidates eager to learn and grow in cloud technologies and software engineering.
Summary Generated by Built In

About the Team/Role

We are looking for a highly motivated and high-potential entry-level Engineer to join our Data Lake engineering team to make significant contributions to our Data Lakehouse product and grow your career.

This is a really exciting time to be in the Data Lake engineering team at WEX. The team has an opportunity to create a brand new Data Lakehouse that powers our Data, AI and machine learning initiatives. We work with cutting-edge technologies like AWS, Azure, Docker, and Kubernetes to create a dynamic environment that supports the development and deployment of AI models at scale.

We have challenging problems with huge business impact potential for you to work on and grow. We also have a strong team with highly talented and skillful engineers and leaders to support, guide, and 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 partners/stakeholders to understand the requirements of our Data and AI development teams and key challenges.

  • Learn and practice designing, building, and maintaining a Data Lakehouse on AWS and Azure to support Data and AI/ML workloads.

  • Gain hands-on experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).

  • Learn and implement CI/CD pipelines for automating the deployment and management of AI infrastructure.

  • Develop and maintain monitoring and alerting systems to ensure the health and performance of production Data Lakehouse infrastructure.

  • Learn to analyze system performance data to identify bottlenecks and opportunities for improvement.

  • Learn from your peers and foster continuous learning of new cloud technologies and best practices.

  • Learn our team’s processes and best practices and apply them to given tasks with help from peers and your manager. Make sure to understand the underlying problems you try to solve with these tasks, and your implementations effectively address these problems in a reliable and sustainable way.

  • Partner with team members in development and problem-solving.

  • Proactively seek reviews from senior engineers on your work to ensure quality.

Experience you’ll bring

  • Bachelor's degree in Computer Science, Software Engineering, or a related field. OR demonstrable equivalent deep understanding, experience, and capability.

  • 1 year of experience in software engineering or cloud infrastructure is a plus.

  • Demonstrable programming skills in a 3GL strongly-typed language like Java, Python, C/C++ or Golang.

  • 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 productivity, as well as the quality & effectiveness of your deliverables.

  • Capable of designing good solutions for small/medium scale problems or components.

  • Strong understanding of cloud platforms (AWS, Azure), networking, and automation is a plus.

  • Some understanding of containerization (Docker) and orchestration (Kubernetes) is a plus.

  • Passionate and interested in AI/ML technologies and cloud infrastructure.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.

Top Skills

C/C++
Go
Java
Python
The Company
HQ: Portland, ME
4,900 Employees
On-site Workplace

What We Do

We simplify complex payment systems for fleets, corporate payments, and healthcare—unlocking insights, opportunities, and efficiencies to give you greater control of your business.

Powered by the belief that complex payment systems can be made simple, WEX (NYSE: WEX) is a leading financial technology service provider across a wide spectrum of sectors, including fleet, travel and healthcare. WEX operates in more than 10 countries and in more than 20 currencies through approximately 4,900 associates around the world. WEX fleet cards offer approximately 14 million vehicles exceptional payment security and control; our travel and corporate solutions business processes over $35 billion of purchase volume annually; and the WEX Health financial technology platform helps 343,000 employers and more than 28 million consumers better manage healthcare expenses.

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