Jobs

Lead Software Engineer, Data Management - Capital One Software
Bangalore, In
·
On-site
·
Full-time
·
2mo ago
Benefits and perks
•Healthcare
•401(k)
•Equity
Required skills
Go
Java
Python
Rust
C++
Cloud Computing
Voyager (94001), India, Bangalore, Karnataka
- Lead Software Engineer, Data Management
- Capital One Software
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 Lead Software Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.
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As a Lead Software Engineer
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Data Management, you will:
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Help build innovative products and solutions for problems in the Data Management domain
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Maintain knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes
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Participate in technology events to support brand awareness of the organization and to attract top talent.
Basic Qualifications:
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Bachelor's Degree in Computer Science or a related field
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Atleast 8 years of professional software development experience (internship experience does not apply)
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Atleast 3 years of experience in building software solutions to problems in one of the Data Management areas listed below:
Data Catalog / Metadata Store
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Access Control / Policy Enforcement
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Data Governance
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Data Lineage
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Data Monitoring and Alerting
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Data Scanning and Protection
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Atleast 3 years of experience in building software using at least 1 of the following: Golang, Java, Python, Rust, C++
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Atleast 3 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
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Master's Degree in Computer Science or a related field
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Atleast 10 years of professional software development experience (internship experience does not apply)
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Experience in building a commercial Data Management product from the ground up
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Experience in supporting a commercial Data Management product in cloud with Enterprise client.
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 Recruiting Accommodation@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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About Capital One

Capital One
PublicA financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.
10,001+
Employees
Mclean
Headquarters
$30B
Valuation
Reviews
3.9
10 reviews
Work-life balance
3.2
Compensation
4.0
Culture
3.8
Career
3.5
Management
3.7
72%
Recommend to a friend
Pros
Flexible work arrangements and hours
Great team dynamics and collaboration
Competitive salary and excellent benefits
Cons
High workload and pressure during peak times
Fast-paced and overwhelming environment
Limited career advancement opportunities
Salary Ranges
94 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$81,250
total per year
Base
$32,500
Stock
$40,625
Bonus
$8,125
$56,875
$105,625
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 40%
Neutral 60%
Negative 0%
Interview process
1
Application Review
2
Online Assessment (CodeSignal)
3
Recruiter Phone Screen
4
Technical Interview
5
Behavioral Interview
6
Power Day/Super Day
7
Final Round/Offer
Common questions
Coding/Algorithm
Data Analysis
Behavioral/STAR
Technical Knowledge
System Design
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