Manager, Swe - Full Stack Job in Capital One

What You ll Do Lead technical initiatives to accelerate and de-risk rapid model development by automating governance processes Lead, grow, and develop a team of Engineers responsible for engaging with internal customers, creating a path towards their destination architecture, and maximizing the efficiency, performance, and scalability of their applications. Collaborate with product managers and deliver robust cloud-based solutions that drive improvements to the model governance process and user experience for our data science partners. Work with a broad range of partner teams to contribute to automating elements of the machine learning model governance process through processing of model metadata around experiments, testing and validation. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community. Utilize programming languages like Go and Python as well as AWS services such as EKS, the various EC2 and networking based services,DynamoDB, EFS and S3, plus various data platforms. Basic Qualifications Bachelor s Degree At least 6 years of experience in software engineering (Internship experience does not apply) At least 2 years of experience with AWS, GCP or Azure At least 2 years of people management experience At least 1 year of experience with containerization technologies At least 1 years of experience in Agile practices Preferred Qualifications Master s Degree 8+ years of experience in software engineering. At least 1 year of experience specifically with: Python or Go 3+ years of experience with AWS 2+ years of experience in open source frameworks 2+ years of experience working with microservices and / or streaming based architectures