We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Join JPMorgan Chase as a Lead Software Engineer within the Corporate Investment Bank, Markets Research Technology Team. Design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Work on cutting-edge projects, including LLM and GenerativeAI solutions, and help industrialize AI/ML models at production scale.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Investment Bank, Markets Research Technology Team, you will play a crucial role in an agile team, focusing on the design and delivery of secure, stable, and scalable market-leading technology products. Your responsibilities will encompass implementing essential technology solutions across various technical domains to support the firm's business goals. You will participate in innovative projects, including LLM and GenerativeAI solutions, and aid in the industrialization of AI/ML models at a production scale. This position is a hands-on team member contributor engineering role.

 

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendorsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives decisions that influence the product design, application functionality, and technical operations and processesServes as a function-wide subject matter expert in one or more areas of focusActively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life CycleInfluences peers and project decision-makers to consider the use and application of leading-edge technologiesAdds to the team culture of diversity, opportunity, inclusion, and respectDesigns and implements hands-on solutions while providing technical leadership and mentorship to more junior team members

 

 Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and proficient advanced experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in Python software engineeringAdvanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., Data engineering, ML engineering, Cloud)Ability to tackle design and functionality problems independently with little to no oversightPractical cloud native experiencePractical experience with Kubernetes, EKS, Docker, Terraform, MLOps

 

Preferred qualifications, capabilities, and skills

Experience developing large-scale Cloud-native data/AI/ML engineering solutions in large corporate environments Prior experience collaborating with data scientists, productionizing POCs to industrial scalable solutionsAWS clod native experienceExperience with data science/ML modellingFamiliarity with modern LLM technologies, Vector databases (e.g., OpenSearch), and Knowledge Graph