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 AI/ML Data Platform team, 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.
Job responsibilities
- Collaborate with business stakeholders, product teams, and technology teams to finalize software solutions aligned with strategic goals.
- Architect, design, and develop AI products for the core AI and Machine Learning team using generative AI, natural language processing, and other AI-ML technologies.
- Work alongside software developers and data scientists, and collaborate with product and development teams.
- Establish timelines for product features and communicate them to business stakeholders.
- Conduct data modeling for AI software solutions, determine data persistence strategies, and create data pipelines.
- Set coding standards for code repositories and perform code reviews.
- Oversee product deployments on public and private clouds, ensuring server costs are managed through monitoring and tuning
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Extensive hands-on experience in system design, application development, testing, operational stability, and Agile SDLC.
- Advanced proficiency in Python, Java, and JavaScript.
- Skilled in technologies such as FastAPI, Spring, Agent Building tools, and LLMs.
- Expertise in automation and continuous delivery methods, with a strong understanding of agile methodologies like CI/CD, Application Resiliency, and Security.
- Demonstrated proficiency in software applications and technical processes within disciplines like cloud, AI, ML, and mobile.
- In-depth knowledge of the financial services industry and IT systems, with experience in microservice design patterns, data structures, algorithms, and cloud services such as AWS, Terraform and ability to work in a global setup and interact with clients
Preferred qualifications, capabilities, and skills
- Exposure to python libraries such as pandas, scipy and numpy
- Exposure to python concurrency through python multiprocessing would be advantageous.
- Exposure to grid computing concepts would be advantageous.
- Knowledge of the financial services industry and their IT systems
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