At Capital One, we think big and do bigger things. We were the first company to develop and offer mass customization and personalization of credit card, auto loans and other financial services products, and we have been innovating relentlessly ever since.
Today, we are a progressive financial services powerhouse spanning Credit Cards, Auto Loans, Savings, and Commercial Banking and at the same time a high-tech company, a scientific laboratory, and a well-recognized brand all in one. We are a passionate and entrepreneurial team with heart – a team that embraces bold ideas, fosters collaboration, and delivers world- class products and services impacting over 65 million customer accounts.
Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and deliver a better way for our customers, the financial industry and for each other. Our goal is simple – bring ingenuity, simplicity and humanity to an industry ripe for change.
At DataLabs, Capital One India, we solve fundamental business problems at scale using advanced analytics, data science and machine learning. We specialize in deriving valuable insights about various aspects of the business - including product and process design, consumer behavior, regulatory and credit risk, and much more - from large volumes of data to build cutting edge patentable products at an industrial scale.
We’re looking for a Principal Associate - Full Stack Software Engineer to join the Machine Learning Experience (MLX) team! to spearhead our foray into autonomous and intelligent data products that solve the full gamut of business and analytical needs. This role involves working with heads of lines of businesses in our Financial Services division to understand contemporary business needs, lead analytical teams to make impactful and actionable offers, and work with Engineering groups to lead tech delivery of large product builds. The role encompasses recruiting, developing and motivating an exceptional team that is drawn from elite campuses in India and abroad, and focused on our mission to develop world class data products.
At DataLabs, you will work in a fast paced and intellectually rigorous environment. You will apply strategic analytical and product leadership skills to major business challenges. You will have the opportunity to learn and build deep expertise in the core areas of advanced analytics, industrial- scale product design, development and deployment, data science and machine learning. And you will do it all in a collaborative environment that values problem solving, encourages creativity, promotes learning, and rewards innovation.
DataLabs prides itself on its exceptionally vibrant culture. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives.
What You’ll Do:
Be part of a team working together to design, architect, and then deliver a solution around enabling seamless mobility of our users across sets of back-end infrastructure.
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, 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 customers achieve financial empowerment
Utilize programming languages like Go and Python as well as AWS services such as EKS, the various EC2 and networking based services, RDS, DynamoDB, EFS and S3, plus various data platforms.
Basic Qualifications
Bachelor’s Degree
At least 4 years of experience
At least 2 years of experience with AWS
At least 1 year of experience with containerization technologies (Kubernetes, Docker)
At least 1 year of experience in Agile practices
Preferred Qualifications
4+ years of experience in software engineering.
1+ years of experience specifically with Python or Golang
2+ years of experience with AWS
1+ years of experience with Kubernetes and Docker
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).
Other Jobs from Capital One
AI Engineer - Pr. Associate
Senior Manager, Product Management, Cloud Infrastructure Maturity Platform
Lead Software Engineer, Full Stack
Lead Data Engineer (Python, AWS, Kafka)
Similar Jobs
Senior Data Engineer
Senior Software Development Engineer
Software Engineer I
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 401 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say