A possible career journey at Capital One:
- Senior Coordinator
- Principal Coordinator
- Senior Associate
- Principal Associate
- Senior Manager
- Senior Director
At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward.
We’re looking for a Manager - Full Stack Software Engineer to join the Machine Learning Experience (MLX) team!
The MLX team is at the forefront of how Capital One builds and deploys responsible ML models and features; we onboard and educate associates on the ML platforms and products that the whole company uses; we drive new innovation and research; and we’re working to seamlessly infuse ML into the fabric of the company. The full ML experience we’re creating will enable our lines of business to focus their time and resources on advancing their specific machine learning objectives — all while continuing to deliver next-generation machine learning-driven products and services for our customers.
What You’ll Do
Lead, grow, and develop a team of engineers working together to design, architect, and then deliver a solution around enabling seamless mobility of our users across sets of back-end infrastructure.
Work to build abstractions on top of back-end Kubernetes based systems so as to remove complexity of moving users of our multi-tenant machine learning platforms across different systems.
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of customers achieve financial empowerment
Utilize programming languages like Go and Python as well as AWS services such as EKS, the various EC2 and networking based services, RDS, DynamoDB, EFS and S3, plus various data platforms.
At least 6 years of experience in software engineering
At least 1 year experience with AWS
At least 1 year of experience with containerization technologies (Kubernetes, Docker)
At least 2 years of people management experience
2+ years of experience in Agile practices
8+ years of experience in software engineering.
At least 1 year of experience specifically with: Python or Golang
3+ years of experience with AWS
2+ years of experience in open source frameworks
3+ years of experience with Kubernetes and Docker
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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The team will discuss — if it’s a good fit for us and you, we’ll make it official!
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Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.
A possible career journey at Capital One: