Lead Full Stack Engineer

Capital One

7 - 12 years

9 - 14 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

process design san backend machine learning agile data processing open source technical support monitoring python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 Java or Python, Go, and Javascript.
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.
Actively contribute to the codebase and 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.

Basic Qualifications:

Bachelor s Degree
At least 7 years of experience in software development, with a strong focus on backend and full-stack development.
At least 5 years of expertise in Java or Python and Go, with the ability to design scalable and maintainable codebases.
At least 5 years of experience in Javascript for frontend development.
At least 5 years of experience with AWS services such as Lambda, ECS, EKS, S3, DynamoDB, SQS, IAM.
At least 5 years of experience of open-source frameworks and their practical applications.
At least 3 years of experience working on ML Observability tools and frameworks.

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.
Good understanding of CI/CD pipelines, containerization such as Docker, Kubernetes and DevOps practices.
Strong understanding of data processing pipelines and streaming architectures.
Strong problem-solving skills, attention to detail, and the ability to handle complex engineering challenges.
Proven ability to work in agile environments and contribute to high-performance engineering teams.

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