DescriptionRevolutionize 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 youare 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 firms 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.
DescriptionRevolutionize 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 youare an integral part of an agile team that works to enhance build and deliver trusted market-lead...
DescriptionRevolutionize 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 youare 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 firms 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.
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