Lead Software Engineer, DevOps & AI Experiences

At Capital One, we are passionate about leveraging technology to innovate and solve complex business problems in a fast-paced and inclusive environment. Our Intelligent Foundations & Experiences (IFX) group is dedicated to advancing Capital Ones real-time technological future through collaborative efforts across our enterprise. We offer a competitive salary ranging from $215,200 to $245,600, performance-based incentives, and a comprehensive benefits package designed to support your overall well-being. We are an equal opportunity employer committed to fostering a diverse and drug-free workplace.

- Bachelors degree
- Minimum of 4 years experience in DevOps Engineering (Internship experience not applicable)
- At least 3 years experience with Cloud Native technologies (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform)
- A minimum of 4 years Unix or Linux system administration experience
- 7+ years of DevOps Engineering experience preferred
- 4+ years in coding and scripting languages (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) preferred
- 4+ years using build and deployment tools (Jenkins, Docker, Kubernetes) preferred
- 2+ years with distributed database systems (Cassandra, ElasticSearch) preferred
- 2+ years deploying clustered web services preferred
- 2+ years of experience working within Agile Development Practices preferred
- 2+ years of Machine Learning Operations experience preferred

- Lead a variety of technology projects, managing a team of experienced developers in machine learning, distributed microservices, and full stack systems to create regulatory solutions for the organization
- Stay updated with technology trends and continuously experiment with and learn new tools, while actively participating in technology communities and mentoring fellow engineers
- Collaborate effectively with digital product managers to deliver comprehensive cloud-based solutions that empower millions of Americans financially
- Employ programming languages such as Java, Python, SQL, Ruby, and Go, alongside Container Orchestration services like Docker and Kubernetes, and utilize various AWS tools and services