Principal Associate, Software Engineering

Posted 12 Days Ago
Bengaluru, Karnataka
Hybrid
1-3 Years Experience
Fintech • Machine Learning • Payments • Software • Financial Services
Change everything. Starting with your career.
The Role
Join Capital One India as a Principal Associate - Full Stack Software Engineer working on designing and delivering cloud-native solutions in data management and security domains. Collaborate with architects and product managers to drive powerful customer experiences. Promote engineering excellence and reuse solutions where possible.
Summary Generated by Built In

Voyager (94001), India, Bangalore, Karnataka
Principal Associate, Software Engineering
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.
Capital One has taken a bold journey to build a technology company, while operating in a complex, highly regulated business. We have built out a large engineering organization, moved to the cloud, re-architected our applications and data platforms, and embraced machine learning at scale. Our AI/ML capabilities are now at the forefront of what's possible in banking (e.g., Eno).
As we uncovered new challenges along the way, we built and battle tested new capabilities to meet those needs. We've open sourced several of the software tools we built (e.g., Cloud Custodian, Hygieia) and forged new partnerships with other digital leaders (e.g., Microsoft).
We've developed a suite of internal solutions uniquely designed to meet the challenges of a digital-first, cloud-first business at scale. Today, the Capital One Software team is exploring how these internal solutions across cloud, data, security, governance, and applications could serve the needs of other companies born or built in the cloud.
Capital One Software is a new enterprise B2B software business focused on providing cloud and data management solutions to companies operating in the cloud. This is Capital One's first foray into the enterprise software market and comes after years spent building our own in-house cloud and data management tools that enable us to operate at scale in the cloud. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
We're looking for a Principal Associate - Full Stack Software Engineer to join the Capital One Software Incubation Technology team!
What You'll Do:
Be part of a team to design, architect, and then deliver distributed microservices based robust, cloud native, resilient, and highly scalable solutions in data management and security domains
Work to build abstractions on top of back-end Kubernetes based systems so as to remove complexity of moving users of our multi-tenant machine learning platforms across different systems
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities and mentoring other members of the engineering community.
Has a strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions
Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible. Lead the craftsmanship, availability, resilience, and scalability of your solutions
Collaborate with architects and product managers, and deliver robust cloud-based solutions that drive powerful experiences for our customers
Basic Qualifications:
Bachelor's Degree
At least 4 years of experience in software engineering (Internship experience does not apply) in one or more of the following: GoLang, Java, Python, React, Rust, or C++
At least 2 years of experience with one or more cloud platforms: AWS, GCP, Azure
At least 1 year of experience with Big Data, Data Security, Governance and Controls
At least 1 year of experience with containerization technologies
Preferred Qualifications:
Master's Degree
4+ years of experience in software engineering.
3+ years of experience specifically in one or more: GoLang, Java, Python, Lua, React, Nginx, Rust, or C++
3+ years of experience with AWS, GCP, Azure, or another cloud service
2+ years of experience with containerization technologies such as Kubernetes
1+ years of experience in open source frameworks
1+ years of experience in Big Data, Data Security, Governance and Controls
1+ years of experience in building front-end development
1+ years of experience in Agile practices
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 [email protected] . 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 [email protected]
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).

Top Skills

Go
Java
Python
React
The Company
Bengaluru, Karnataka
55,000 Employees
Hybrid Workplace
Year Founded: 1994

What We Do

At Capital One, we think and work like a tech company, using our digital fluency to transform everything about the customer experience. We’re bending data to our will, and turning a stodgy industry on its head. That’s reflected in our ranking as the number one business technology innovator in the U.S. in the 2016 InformationWeek Elite 100.

Why Work With Us

Here’s another question: What are you looking for? A place where curiosity is the starting point? Where data leads to human insights? Where humanity drives product development? We’re bringing breakthrough products and services to consumers, small businesses, and commercial clients. And each new idea makes life better for millions of people.

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Capital One Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
Bengaluru, Karnataka
Our India office is in Bangalore. It’s home to teams spanning tech, data science, business analysis, design and other product development teams across Financial Services, Enterprise Risk Management and Machine Learning.

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