Senior Lead Software Engineer, Full Stack (Cloud)

At Capital One, we bring together a diverse group of innovators and problem solvers dedicated to addressing real customer needs. We are excited to find a Senior Lead Software Engineer to join our Cloud Operations Resilience Engineering (CORE) Technology division, which plays a crucial role in advancing our foundational cloud infrastructure, focusing on key areas like observability, connectivity, resilience, and availability. We offer competitive salaries, performance-based incentives, and a comprehensive benefits package to support your overall health and well-being. We encourage applications from individuals with varied backgrounds and experiences.

- Bachelors Degree in Computer Science or related field
- Minimum 6 years of experience in software engineering (Internship experience not considered)
- At least 1 year of experience with cloud computing platforms (such as AWS, Microsoft Azure, or Google Cloud)
- Masters Degree preferred
- Over 9 years of proficiency in programming languages such as JavaScript, Java, TypeScript, SQL, Python, or Go
- At least 4 years of experience working with cloud services like AWS, GCP, or Microsoft Azure
- More than 4 years of experience utilizing open source frameworks
- Over 1 year of experience managing teams
- More than 2 years of experience with Agile methodologies

- Lead a variety of technology projects alongside a skilled team of developers experienced in distributed microservices and full stack systems to develop solutions that align with regulatory requirements
- Stay updated on technology trends, explore new technologies, and engage with both internal and external tech communities; mentor fellow engineering professionals, and occasionally code or assess code
- Work closely with digital product managers to deliver robust cloud-based solutions that enhance user experiences for millions of Americans seeking financial empowerment
- Employ programming languages including JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, as well as leveraging Open Source RDBMS and NoSQL databases, Container Orchestration services like Docker and Kubernetes, as well as various AWS tools and services