Lead Software Engineer - Python, Data, Cloud, AIML
JPMorgan Chase1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, troubleshoot, and maintain secure, high-quality production software solutions.
- Drive adoption and governance of approved AI-assisted engineering practices for coding, code review, testing, release readiness, and incident analysis.
- Establish validation standards for AI-generated engineering outputs, including secure coding, peer review, automated testing, correctness, performance, and security.
- Create architecture and design artifacts for complex applications and ensure software implementations meet design constraints.
- Build the engineering stack for data and AI/ML products across data engineering, backend engineering, cloud infrastructure, DevOps, and MLOps.
- Design and implement data engineering solutions using modern big data technologies.
- Contribute to engineering communities of practice and explore emerging technologies.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Hands-on experience in system design, application development, testing, and operational stability.
- Proficiency in Python or another modern programming language, with experience using database query languages.
- Experience developing, debugging, and maintaining software in a large corporate environment.
- Experience leading enterprise-authorized AI-assisted software development and coaching engineers on compliant usage and output validation.
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations.
- Experience designing and developing microservices, distributed systems, and data-intensive applications.
- Experience with cloud services, infrastructure as code, containerized application development, big data, and modern data engineering technologies.
- Practical experience developing production-scale cloud-native data engineering solutions in commercial environments.
- Familiarity with cloud data engineering services such as ETL, Glue, S3, Athena, and MLOps stacks.
- Ability to communicate design choices and results clearly to stakeholders from varied backgrounds.
- Preferred: experience with data, AWS, and AI/ML engineering, particularly in financial services.
- Preferred: experience with LLM applications or other AI/ML systems, Kubernetes, EKS, Docker, MLOps, LLMs, RAG, knowledge graph technologies, OpenSearch, and vector databases.
- Preferred: experience collaborating with data scientists.
Tech Stack
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.