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Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Capital One Senior Associate, DevOps in Bengaluru, India

Voyager (94001), India, Bangalore, Karnataka

Senior Associate, DevOps

Overview

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 Senior 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 well-managed 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 ML experience we're creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers.

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

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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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