Revolutionize technology application in real-world scenarios, promoting impactful change and innovation.

As a Software Engineer III  at JPMorgan Chase within the AI/ML Data Platforms business, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Develops and writes software applications for AI/ML platforms and building Generative AI based applications including Agents. 
• Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges.
• Develops secure high-quality production code, and reviews and debugs code written by others
• Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems.
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, Opportunity, inclusion, and respect 

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts with applied  experience.
• Practical experience in Infrastructure as Code development, ideally using Terraform.
• Hands-on practical experience in system design, application development, testing, and ensuring operational stability.
• Advanced proficiency in one or more programming languages, with a strong focus on Python or Java
• Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC).
• Deep understanding of agile methodologies and basic proficiency in architectural frameworks.
• Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
• In-depth knowledge of the financial services industry and their IT systems.

Preferred qualifications, capabilities, and skills

• Proficient in utilizing AI tools to enhance productivity and efficiency in daily tasks.
• Familiarity with architecture design frameworks 
• Self-motivated and proactive, with a strong ability to identify issues and challenge the status quo.
• Knowledge in automation and continuous integration, delivery, and testing (CI/CD/CT) methods.
• Knowledge in Gen AI application development 
• Demonstrates initiative in learning and adapting to new technologies and methodologies.
• Proven problem-solving skills with a focus on innovation and continuous improvement.
• Excellent communication and collaboration skills to work effectively within cross-functional teams.