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and infrastructure for Machine Learning models at scale. You will be a member of our Enterprise Machine Learning leadership team,and supporting cutting-edge ML research and development, all on our public cloud infrastructure. You will work with a team of world-class ML engineers and researchers to design and implement key platform products and services that
What You’ll Do:
Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack 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 Americans achieve financial empowerment
Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services
Basic Qualifications:
Bachelor’s degree
At least 6 years of experience in DevOps Engineering (Internship experience does not apply)
At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
At least 6 years of Unix or Linux system administration experience
At least 4 years of experience in people management
Preferred Qualifications:
9+ years of DevOps Engineering experience
6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby)
4+ years of experience in infrastructure design, implementation and delivery
3+ years of experience with monitoring tools (Splunk or Zabbix)
3+ years of experience with Container orchestration services including Docker or Kubernetes
3+ years of experience working with Agile Development Practices
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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