Lead Full Stack Engineer

4 days ago

Bengaluru, India Capital One 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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