About the role:
As a Lead Software Engineer or Lead Software Engineer in Test, you’ll be designing and implementing technical solutions to business problems. You’ll collaborate with other engineers to build the best systems for the problem at hand while mentoring junior developers. Most problems have multiple solutions and we need your expertise to figure out which one is best and drive to completion. In addition, you will work with Product Management, Analytics, and Operations to deliver business value.  

Our most successful Lead Engineers are able to tackle a variety of tasks from designing microservices, operational issues, production debugging, risk mitigation and management, and the ability to pair with others outside of your immediate team in order to accomplish any task.

We're excited about you if you have:

  • 5+ years of experience in a full stack development role
  • Proficiency in one or more object-oriented programming languages.
  • The ability to solve problems in more than one language, and know exactly why one of them is better
  • Expertise with building software features, enterprise architecture, and API integration to facilitate first in class software.
  • Project management skills, specifically the ability to oversee projects end-to-end, estimate work, and break up problems into deliverable parts.
  • Experience developing and maintaining automated tests and frameworks using open source tools and technologies and proven ability to scale those to multiple teams within engineering.
  • Experience managing test infrastructure and strategy.
  • Deployed multiple web applications from a full-stack perspective.
  • Experience collaborating with product managers to plan and scope products iteratively. 
  • A Bachelor’s degree in Computer Science, Engineering, or equivalent experience

About our Software Engineering team:
Our Software Engineering team is one of the largest in Chicago. We put the “Tech” in FinTech and are accountable for developing top notch products for our customers. We are structured into full-stack Agile teams, each aligned to core business lines and services, but no team is a silo. Our collaborative environment promotes continuous learning and innovation across all groups.  

We primarily code in Ruby and Go. Not Familiar? No problem! We want engineers from diverse backgrounds and have created a self-paced training program to get you up to speed during your first few weeks with us. Beyond this, our teams organize hackathons and tech talks for additional learning, monthly town halls to keep everyone ‘in the know,' affinity and advocacy groups, and even a tech pumpkin carving contest!

Our business is growing and we need smart, curious, passionate folks from all backgrounds to help us build the technology that makes us successful. This is where you come in! Are you ready to grow with us?

About Enova:
Enova is a leading financial technology company providing online financial services through its AI and machine learning powered lending platform. Enova serves the needs of non-prime consumers and small businesses, who are frequently underserved by traditional banks. Enova has provided more than 7 million customers with over $40 billion in loans and financing with market leading products that provide a path for them to improve their financial health. Want to learn more? Just ask any of our almost 1,500 employees.

Our goal at Enova, we believe that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

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Enova’s policy is to provide Equal Employment Opportunity for all individuals and not discriminate in employment decisions, by placing the most qualified person in each job, without regard to actual or perceived race, color, religion, age, sex, national origin, physical or mental disability, military or veteran status, sexual orientation, genetic information, gender identiy or any other classification protected by federal, state, or local law.


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