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What You’ll Do
● Be part of a team leading technical initiatives and problem solving in the SRE and DevOps space to accelerate and de-risk rapid model development by automating governance processes so as to enable faster movement through the model development lifecycle
● 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
● 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
● Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal and 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 3 years of DevOps/SRE experience
● At least 2 years of experience with AWS
● At least 1 year of experience in Agile practices
Preferred Qualifications
● 2+ years of experience with coding and scripting (Golang, Python, Java, SQL, Bash)
● 2+ years of experience in infrastructure design, implementation and delivery
● 2+ years of experience with infrastructure as code (Terraform, Cloud Formation, Ansible)
● 1+ years of experience with monitoring tools (Splunk, New Relic, Datadog, ELK, Grafana) ● 1+ 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 . 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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