Lead Full Stack Engineer, Enterprise Platforms

At Capital One, we are passionate about innovation and solving complex challenges in the technology field. As part of our Enterprise Platforms Technology (EPTech) team, youll engage in numerous crucial enterprise platforms that shape our tech solutions and enhance our practices across the organization. Our culture values collaboration, inclusivity, and iterative development, providing a dynamic environment for growth. We offer a competitive salary structure and a comprehensive benefits package, including health, financial, and wellness support. We are an equal opportunity employer committed to fostering a diverse workplace.

- Bachelors Degree
- Minimum of 4 years in software engineering (excluding internship experiences)
- At least 1 year of experience in cloud computing (AWS, Microsoft Azure, Google Cloud)

- Preferred: Masters Degree
- Preferred: Over 7 years of expertise in at least one technology such as JavaScript, Java, TypeScript, SQL, Python, or Go
- Preferred: Over 3 years of experience with any cloud services like AWS, GCP, or Microsoft Azure
- Preferred: More than 4 years of experience in open-source frameworks
- Preferred: At least 1 year of management experience
- Preferred: Over 2 years of experience in Agile methodologies

- Oversee a diverse array of technology initiatives alongside a team of experienced developers focused on distributed microservices and full stack systems, creating solutions that fulfill regulatory requirements for the organization
- Share enthusiasm for emerging tech trends, engage in experimentation with new technologies, contribute to both internal and external tech communities, and mentor fellow engineers
- Collaborate with digital product managers to deliver robust cloud-based solutions that foster meaningful experiences, empowering millions of Americans to achieve financial independence
- Apply programming skills in languages such as JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, Go, as well as Open Source RDBMS and NoSQL databases, along with using container orchestration services like Docker and Kubernetes, and various AWS tools and services