If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.

As a Principal Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.

Job responsibilities

Creates complex and scalable coding frameworks using appropriate software design frameworksDevelops secure and high-quality production code, and reviews and debugs code written by othersAdvises cross-functional teams on technological matters within your domain of expertiseServes as the function’s go-to subject matter expertContributes to the development of technical methods in specialized fields in line with the latest product development methodologiesCreates durable, reusable software frameworks that are leveraged across teams and functionsInfluences leaders and senior stakeholders across business, product, and technology teamsChampions the firm’s culture of diversity, equity, inclusion, and respectDevelops and writes software applications for AI/ML platforms and building Generative AI based applications including AgentsDevelops secure high-quality production code, and reviews and debugs code written by othersProactively 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.

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityPractical experience in Infrastructure as Code development, ideally using Terraform.Expert in one or more programming language(s) with a strong focus on Python and JavaAdvanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplinesAbility to present and effectively communicate with Senior Leaders and ExecutivesExperience in Computer Science, Computer Engineering, Mathematics, or a related technical fieldExpertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods.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.).

Preferred qualifications, capabilities, and skills

Hands-on experience in UX design and UI development using modern frameworks such as React.Proficient in utilizing AI tools to enhance productivity and efficiency in daily tasks.Familiarity with architecture design frameworks and tooling standards, including TOGAF.Self-motivated and proactive, with a strong ability to identify issues and challenge the status quo.Demonstrates initiative in learning and adapting to new technologies and methodologies.Proven problem-solving skills with a focus on innovation and continuous improvement.