Capital One Lead Fullstack Engineer 

India, Karnataka, Bengaluru 

939244401

Voyager (94001), India, Bangalore, Karnataka Lead Fullstack Engineer

What You’ll Do:

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in large-scale full-stack systems, distributed microservices, and machine learning systems to create solutions that meet regulatory and business needs.

• Develop and maintain scalable full-stack applications using Python, Go, and React.

• Design and implement cloud-native solutions on AWS, leveraging services like Kubernetes and Serverless infrastructure.

• Work with open-source 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 cloud-based 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

• 7-10 years of experience in software development, with a strong focus on backend and full-stack development.

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

• Medium-level proficiency in React for frontend development.

• Hands-on experience with AWS services (e.g., Lambda, ECS, S3, DynamoDB, SQS, IAM).

• Strong knowledge of open-source 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 high-performance engineering teams.

• Strong problem-solving 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 event-driven architectures and microservices.

• Familiarity with GraphQL and WebSockets.

• Strong understanding of data processing pipelines and streaming architectures.

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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.