AI-Driven Cloud-Native Lead Engineer

JP Morgan Chase

New York (NY)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Job summary

JPMorganChase in New York, NY, is seeking a Senior Lead Software Engineer to drive development of secure, scalable technology products within Consumer and Community Banking. You will guide AI-assisted engineering practices, influence design decisions, and mentor teams across the SDLC, emphasizing security, reliability, and operational excellence.

The role demands hands-on coding in Python/Java, deep cloud experience with AWS services, and a track record of delivering robust systems.

Qualifications

Formal training or certification on software engineering concepts and 5+ years applied experience.
Experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in Python and/or Java, with demonstrated expertise in developing, debugging, and maintaining code using modern programming and database querying languages.
Extensive experience with SQL and NoSQL databases, data lakes, and AWS S3, including the design and implementation of scalable data storage architectures.
Proven track record in deploying and managing applications using AWS services such as EMR, EKS/ECS, EC2, Event Bus, and S3.
Deep familiarity with enterprise logging and monitoring platforms, including Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog.
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Ability to tackle design and functionality problems independently with little to no oversight. Practical cloud native experience
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, opportunity, inclusion, and respect