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

As a Software Engineer III at JPMorgan Chase within the Corporate and Investment Bank Markets Research Technology, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products in a secure, stable, and scalable manner. Your responsibilities include implementing critical technology solutions across various technical domains to support the firm's business objectives. You will engage in challenging projects involving Cloud-native data, backend engineering, and AI/ML engineering, contributing to the industrialization of AI/ML models at a production scale. This position is a hands-on engineering role, where experience with data science or machine learning modeling is beneficial but not mandatory.

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 problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentBuilds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOpsDesigns and implements data engineering solutions, leveraging modern big data technologies   Contributes to software engineering communities of practice and events that explore new and emerging technologiesAdds to team culture of diversity, opportunity, inclusion, and respectEmbraces a passion for learning, problem-solving, creative thinking and a can-do attitude.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years proficient applied experienceHands-on practical experience in system design, application development, testing, and operational stabilityProficient in coding in one or more languages (Python preferably) Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesOverall knowledge of the Software Development Life CycleProven track record in system design, architecting and developing microservices, distributed systems and data-intensive applicationsExperience 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, RedShift) and MLOps   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 settingsExperience working on recommendation systems or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOpsPrior exposure to LLMs, RAG, OpenSearch and vector databases   Prior experience collaborating with data scientists