Lead Fullstack Engineer

Voyager 94001 India Bangalore Karnataka

Lead Fullstack Engineer

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.

We are looking for a Lead Full Stack Developer with strong expertise in Python and Go mediumlevel expertise in React and a deep understanding of AWS services. The ideal candidate should have experience working with opensource frameworks and a solid grasp of Machine Learning Observability. This role requires a handson leader who can drive technical excellence while collaborating with crossfunctional teams to build scalable highperformance applications.

The Machine Learning Experiences(MLX) team is at the forefront of how Capital One builds and deploys wellmanaged ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and were working to seamlessly infuse ML into the fabric of the company. The ML experience were creating today is the foundation that enables each of our businesses to deliver nextgeneration MLdriven products and services for our customers.

What Youll Do:

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in largescale fullstack systems distributed microservices and machine learning systems to create solutions that meet regulatory and business needs.

• Develop and maintain scalable fullstack applications using Python Go and React.

• Design and implement cloudnative solutions on AWS leveraging services like Kubernetes and Serverless infrastructure.

• Work with opensource frameworks to accelerate development and optimize performance.

• Ensure high performance security and reliability of applications.

• Collaborate with ML engineers and data scientists to enhance ML observability and monitoring capabilities.

• Share your passion for staying on top of tech trends experimenting with new technologies participating in internal & external technology communities and mentoring other engineers.

• From time to time contribute to the codebase or evaluate code to maintain technical quality.

• Collaborate with digital product managers to deliver robust cloudbased solutions that drive powerful experiences to help millions achieve financial empowerment.

• Work with CI/CD pipelines containerization (Docker Kubernetes) and DevOps practices to improve deployment efficiency.

• Optimize backend performance and build robust APIs to support various business use cases.

Required Qualifications

• 710 years of experience in software development with a strong focus on backend and fullstack development.

• Expertise in Python and Go with the ability to design scalable and maintainable codebases.

• Mediumlevel proficiency in React for frontend development.

• Handson experience with AWS services (e.g. Lambda ECS S3 DynamoDB SQS IAM).

• Strong knowledge of opensource frameworks and their practical applications.

• Experience working on ML Observability tools and frameworks.

• Good understanding of CI/CD pipelines containerization (Docker Kubernetes) and DevOps practices.

• Proven ability to work in agile environments and contribute to highperformance engineering teams.

• Strong problemsolving skills attention to detail and the ability to handle complex engineering challenges.

Preferred Qualifications

• Experience in monitoring ML models in production and integrating observability tools.

• Knowledge of eventdriven architectures and microservices.

• Familiarity with GraphQL and WebSockets.

• Strong understanding of data processing pipelines and streaming architectures.

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 drugfree 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 23A of the New York Correction Law; San Francisco California Police Code Article 49 Sections; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal state and local laws and regulations regarding criminal background inquiries.

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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).