A possible career journey at Capital One:
- Coordinator
- Senior Coordinator
- Principal Coordinator
- Associate
- Senior Associate
- Principal Associate
- Manager
- Senior Manager
- Director
- Senior Director
- VP
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 Principal Associate - DevOps 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 technical initiatives and problem solving in the SRE and DevOps space for critical model and feature platforms; collaborating with teams and stakeholders to influence and deliver continuous improvement and automation.
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
Collaborate with digital product managers, and deliver robust cloud-based and mobile solutions that drive powerful experiences to help millions of customers achieve financial empowerment
Utilize technologies like Python, Ruby, Kotlin, Swift, Jenkins, Fastlane, New Relic, and Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Basic Qualifications
Bachelor’s degree
At least 4 years of experience in DevOps Engineering (Internship experience does not apply)
At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
At least 2 years of Unix or Linux system administration experience
Preferred Qualifications
2+ years of experience with Terraform or Ansible
2+ years of experience with container orchestration services including Docker or Kubernetes
2+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby)
2+ years of experience working with Agile Development Practices
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).
A possible career journey at Capital One:
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