We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Senior Lead Software Engineer at JPMorgan Chase within theCommercial & Investment Bank's Markets Research Technologyteam,you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering,helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this role.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps
Designs and implements data engineering solutions, leveraging modern big data technologies
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude.

Required qualifications, capabilities, and skills

Formal training or certification onsoftware engineeringconcepts and proficient applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in one or more languages- Python
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle
Proven track record in system design, architecting 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 (e.g., ETL, Glue, S3, Athena) and MLOps stack
Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds

Preferred qualifications, capabilities, and skills

Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector
Experience working on recommendation systems, LLM applications or other AI/ML systems
Practical experience with Kubernetes, EKS, Docker, MLOps
Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases
Prior experience collaborating with data scientists

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