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Distinguished Engineer- Model Dev Software Engineer (Remote- Eligible)
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Locations: NY - New York, United States of America, New York, New York


Distinguished Engineer- Model Dev Software Engineer (Remote- Eligible)


We are looking for a very strong distinguished software engineer to work with a group of high performing teams within the Center for Machine Learnings model development tower building Capital Ones Enterprise Model Platform. The Enterprise Model Platform is a core strategic initiative that is driving the future of machine learning across the organization. This role will be a hands-on engineering role where you will provide senior level development guidance to an organization of approximately sixty engineers focusing on Python and golang based microservices running in a large-scale Kubernetes multi-cluster topology built on AWS infrastructure.


Responsibilities:


You will be asked to provide input on code quality and style. You will have significant influence on setting coding and SDK development standards.


You will contribute to and drive our microservices architecture for our API layer and back-end systems integration as well as participate in implementation work that is already underway.


You will help the team to learn from your experience around building for performance, debugging and troubleshooting, and hopefully avoiding issues before they occur.


You will mentor junior and senior engineers, use your experience to grow our existing talent, and attract new talent to our organization.


This role is not an architect role but rather a hands-on senior level engineering leader. We expect that you will be in the code with engineers, doing PR reviews, recommending changes, and, at times, shipping code yourself.


Capital One is open to hiring a Remote Employee for this opportunity


Basic Qualifications:


Bachelors Degree


At least 7 years experience in software development or software engineering.


At Least 5 years full stack software development using Python or golang


At least 5 years of experience working with Linux based operating systems


At least 3 years of experience in DevOps practices


At least 3 years of experience with AWS, Azure or GCP


At least 3 years experience working with microservices based architectures


At least 1 year of container based development experience in a Kubernetes based environment


Preferred Qualifications:


Masters Degree


10+ years of software engineering experience


5+ years of experience designing and developing microservices based architectures in a high-load and rapidly changing environment


3+ years of experience with Continuous Integration tool sets


4+ years of AWS experience


3+ year of container based development experience in a Kubernetes based environment


3+ years experience with relational database systems


3+ years experience with performance profiling tools for Python or golang based applications


Experience working with data analytics or machine learning systems


Experience with logging and observability tools


Experience with Artifactory and GitHub


Experience with network and application protocols (TCP, HTTP)


Certified in AWS technologies


Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.


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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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 Citys Fair Chance Act; Philadelphias 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).