Sr. Distinguished Engineer
Capital One
Sr. Distinguished Engineer
Job Description
Overview
Sr. Distinguished Engineer, Software Engineer - Enterprise data storage and consumption platformsWe are the Data Storage, & Consumption platform team within the Enterprise Data at Capital One . By joining the team, you will lead technical initiatives to mature & grow the consumption platforms leveraged by all lines of businesses in Capital One.These initiatives will deliver solutions for improving the consumption platform scalability, Operational Excellence, Performance & Resiliency.Come join our team if you are self-driven, actively looking for ways to improve and mature platforms for Enterprise scale, enable frictionless consumption of the data for various personas and know how to drive technical strategy to get things done. You would need AWS infrastructure technical knowledge, Snowflake, Databricks platform expertise, BI tools, sincere willingness to improve, inter-personal skills and dedicated focus on the tasks. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices.
Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates.
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community.
Evangelists, both internally and externally, help to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities.
Have a software engineering/problem solving mindset being equally comfortable with deep diving on issues, hands on keyboard and know how to build highly resilient operational platforms that can scale to 8K-10K users and with 4 nine’s availability.
Prototype, benchmarks new features/solutions for performance, cost, new feature availability.
Operate with a platform mindset with deep familiarity on multi-tenancy, serverless computing, distributed system computing patterns.
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner by building proof of concepts, exploratory analysis.
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization.
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in.
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible.
Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team.
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent.
Bachelor’s Degree
At least 9 years of experience in software engineering
At least 5 years of experience with AWS cloud platform
At least 2 years experience with ML and AI technologies
At least 3 years of experience working with Big Data (Spark)
5+ years of experience with Big Data Technologies
5+ years experience architecting and delivering software systems or platforms
3+ years of DevOps experience using AWS, Python, Terraform, Jenkins, GitHub and Artifactory
6+ years of experience in cloud native platforms
5+ years of experience in open source frameworks
3+ years of experience in Test Automation
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. 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 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.comCapital 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).
Locations
- McLean, Virginia, United States
- New York, New York McLean, VirginiaMcLean
Salary
45,000 - 80,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Software Engineeringintermediate
- AWSintermediate
- Snowflakeintermediate
- Databricksintermediate
- Big Data (Spark)intermediate
- ML and AI technologiesintermediate
- Pythonintermediate
- Terraformintermediate
- Jenkinsintermediate
- GitHubintermediate
- DevOpsintermediate
- Cloud Native Platformsintermediate
Required Qualifications
- Bachelor’s Degree (experience)
- At least 9 years of experience in software engineering (experience)
- At least 5 years of experience with AWS cloud platform (experience)
- At least 2 years experience with ML and AI technologies (experience)
- At least 3 years of experience working with Big Data (Spark) (experience)
- 5+ years of experience with Big Data Technologies (preferred) (experience)
- 5+ years experience architecting and delivering software systems or platforms (preferred) (experience)
Responsibilities
- Prototype, benchmarks new features/solutions for performance, cost, new feature availability
- Operate with a platform mindset with deep familiarity on multi-tenancy, serverless computing, distributed system computing patterns
- Operate as a trusted advisor for a specific technology, platform or capability domain
- Effectively communicate with and influence key stakeholders across the enterprise
- Build awareness, increase knowledge and drive adoption of modern technologies
- Promote a culture of engineering excellence
- Lead the way in creating next-generation talent for Tech, mentoring internal talent
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Sr. Distinguished Engineer @ Capital One.
Related Books and Jobs
Sr. Distinguished Engineer
Capital One
Sr. Distinguished Engineer
Job Description
Overview
Sr. Distinguished Engineer, Software Engineer - Enterprise data storage and consumption platformsWe are the Data Storage, & Consumption platform team within the Enterprise Data at Capital One . By joining the team, you will lead technical initiatives to mature & grow the consumption platforms leveraged by all lines of businesses in Capital One.These initiatives will deliver solutions for improving the consumption platform scalability, Operational Excellence, Performance & Resiliency.Come join our team if you are self-driven, actively looking for ways to improve and mature platforms for Enterprise scale, enable frictionless consumption of the data for various personas and know how to drive technical strategy to get things done. You would need AWS infrastructure technical knowledge, Snowflake, Databricks platform expertise, BI tools, sincere willingness to improve, inter-personal skills and dedicated focus on the tasks. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices.
Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates.
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community.
Evangelists, both internally and externally, help to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities.
Have a software engineering/problem solving mindset being equally comfortable with deep diving on issues, hands on keyboard and know how to build highly resilient operational platforms that can scale to 8K-10K users and with 4 nine’s availability.
Prototype, benchmarks new features/solutions for performance, cost, new feature availability.
Operate with a platform mindset with deep familiarity on multi-tenancy, serverless computing, distributed system computing patterns.
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner by building proof of concepts, exploratory analysis.
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization.
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in.
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible.
Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team.
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent.
Bachelor’s Degree
At least 9 years of experience in software engineering
At least 5 years of experience with AWS cloud platform
At least 2 years experience with ML and AI technologies
At least 3 years of experience working with Big Data (Spark)
5+ years of experience with Big Data Technologies
5+ years experience architecting and delivering software systems or platforms
3+ years of DevOps experience using AWS, Python, Terraform, Jenkins, GitHub and Artifactory
6+ years of experience in cloud native platforms
5+ years of experience in open source frameworks
3+ years of experience in Test Automation
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. 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 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.comCapital 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).
Locations
- McLean, Virginia, United States
- New York, New York McLean, VirginiaMcLean
Salary
45,000 - 80,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Software Engineeringintermediate
- AWSintermediate
- Snowflakeintermediate
- Databricksintermediate
- Big Data (Spark)intermediate
- ML and AI technologiesintermediate
- Pythonintermediate
- Terraformintermediate
- Jenkinsintermediate
- GitHubintermediate
- DevOpsintermediate
- Cloud Native Platformsintermediate
Required Qualifications
- Bachelor’s Degree (experience)
- At least 9 years of experience in software engineering (experience)
- At least 5 years of experience with AWS cloud platform (experience)
- At least 2 years experience with ML and AI technologies (experience)
- At least 3 years of experience working with Big Data (Spark) (experience)
- 5+ years of experience with Big Data Technologies (preferred) (experience)
- 5+ years experience architecting and delivering software systems or platforms (preferred) (experience)
Responsibilities
- Prototype, benchmarks new features/solutions for performance, cost, new feature availability
- Operate with a platform mindset with deep familiarity on multi-tenancy, serverless computing, distributed system computing patterns
- Operate as a trusted advisor for a specific technology, platform or capability domain
- Effectively communicate with and influence key stakeholders across the enterprise
- Build awareness, increase knowledge and drive adoption of modern technologies
- Promote a culture of engineering excellence
- Lead the way in creating next-generation talent for Tech, mentoring internal talent
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Sr. Distinguished Engineer @ Capital One.
Related Books and Jobs