Senior Manager, Software Engineering, Back End - Capital One Software (Remote)
Capital One
Senior Manager, Software Engineering, Back End - Capital One Software (Remote)
Job Description
Overview
Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward.We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Manager of Software Engineering, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.What You’ll Do:
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
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, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Bachelor’s Degree
At least 6 years of professional software engineering experience (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 4 years of people management experience
Master’s Degree
9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
3+ years of experience in big data technologies
3+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of experience building, scaling, and optimizing ML systems
2+ years of experience leading teams developing ML solutions
3+ years of experience with AWS, GCP, Azure, or another cloud service
4+ years of experience in open source frameworks
7+ years of people management experience
2+ years of experience in Agile practices
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
- Richmond, Virginia, United States (Remote)
- Remote Richmond, Virginia Chicago, IllinoisRichmond (Remote)
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Javaintermediate
- Pythonintermediate
- SQLintermediate
- Nodeintermediate
- Gointermediate
- Scalaintermediate
- Dockerintermediate
- Kubernetesintermediate
- AWSintermediate
- big data technologiesintermediate
- Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL)intermediate
- ML frameworks (scikit-learn, PyTorch, Dask, Spark, TensorFlow)intermediate
Required Qualifications
- Bachelor’s Degree (experience)
- At least 6 years of professional software engineering experience (Internship experience does not apply) (experience)
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) (experience)
- At least 4 years of people management experience (experience)
- Master’s Degree (Preferred) (experience)
- 9+ years of experience in at least one of: Java, Scala, Python, Go, or Node.js (Preferred) (experience)
- 3+ years of experience in big data technologies (Preferred) (experience)
- 3+ years of experience with Distributed data/computing tools (Preferred) (experience)
- 3+ years of experience with industry recognized ML frameworks (Preferred) (experience)
- 3+ years of experience building production-ready data pipelines that feed ML models (Preferred) (experience)
- 3+ years of experience building, scaling, and optimizing ML systems (Preferred) (experience)
- 2+ years of experience leading teams developing ML solutions (Preferred) (experience)
- 3+ years of experience with AWS, GCP, Azure, or another cloud service (Preferred) (experience)
- 4+ years of experience in open source frameworks (Preferred) (experience)
- 7+ years of people management experience (Preferred) (experience)
- 2+ years of experience in Agile practices (Preferred) (experience)
Responsibilities
- Lead a portfolio of diverse technology projects and a team of developers with deep experience in 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
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences
- Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Benefits
- general: comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Senior Manager, Software Engineering, Back End - Capital One Software (Remote) @ Capital One.
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Senior Manager, Software Engineering, Back End - Capital One Software (Remote)
Capital One
Senior Manager, Software Engineering, Back End - Capital One Software (Remote)
Job Description
Overview
Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward.We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Manager of Software Engineering, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.What You’ll Do:
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
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, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Bachelor’s Degree
At least 6 years of professional software engineering experience (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 4 years of people management experience
Master’s Degree
9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
3+ years of experience in big data technologies
3+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
3+ years of experience with industry recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of experience building, scaling, and optimizing ML systems
2+ years of experience leading teams developing ML solutions
3+ years of experience with AWS, GCP, Azure, or another cloud service
4+ years of experience in open source frameworks
7+ years of people management experience
2+ years of experience in Agile practices
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
- Richmond, Virginia, United States (Remote)
- Remote Richmond, Virginia Chicago, IllinoisRichmond (Remote)
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Javaintermediate
- Pythonintermediate
- SQLintermediate
- Nodeintermediate
- Gointermediate
- Scalaintermediate
- Dockerintermediate
- Kubernetesintermediate
- AWSintermediate
- big data technologiesintermediate
- Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL)intermediate
- ML frameworks (scikit-learn, PyTorch, Dask, Spark, TensorFlow)intermediate
Required Qualifications
- Bachelor’s Degree (experience)
- At least 6 years of professional software engineering experience (Internship experience does not apply) (experience)
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) (experience)
- At least 4 years of people management experience (experience)
- Master’s Degree (Preferred) (experience)
- 9+ years of experience in at least one of: Java, Scala, Python, Go, or Node.js (Preferred) (experience)
- 3+ years of experience in big data technologies (Preferred) (experience)
- 3+ years of experience with Distributed data/computing tools (Preferred) (experience)
- 3+ years of experience with industry recognized ML frameworks (Preferred) (experience)
- 3+ years of experience building production-ready data pipelines that feed ML models (Preferred) (experience)
- 3+ years of experience building, scaling, and optimizing ML systems (Preferred) (experience)
- 2+ years of experience leading teams developing ML solutions (Preferred) (experience)
- 3+ years of experience with AWS, GCP, Azure, or another cloud service (Preferred) (experience)
- 4+ years of experience in open source frameworks (Preferred) (experience)
- 7+ years of people management experience (Preferred) (experience)
- 2+ years of experience in Agile practices (Preferred) (experience)
Responsibilities
- Lead a portfolio of diverse technology projects and a team of developers with deep experience in 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
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences
- Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Benefits
- general: comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Senior Manager, Software Engineering, Back End - Capital One Software (Remote) @ Capital One.
Related Books and Jobs