Lead Cloud-Native Software Engineer (Java/Python) on AWS

JPMorganChase; Wilmington (DE); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer within Consumer & Community Banking's Data Technology space. You will guide agile teams, shape architecture, and deliver secure, scalable products across multiple technologies with hands-on delivery and strong technical leadership.

You will lead cloud-native services on AWS, influence product design, and promote responsible AI practices, while partnering to implement secure coding, automated testing, and robust SDLC tooling within enterprise

Qualifications

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Hands-on experience delivering mission-critical production services with strong contributions to system design, application development, testing, capacity planning and operationalization.
• Proficient in one or more programming languages (Java, Python, or Go) with strong AWS experience.
• Strong experience with AWS services to host APIs, run applications, enable inter-application messaging, and implement event-driven services.
• Experience organizing Terraform workspaces and developing Terraform code (infrastructure as code).
• Experience designing and developing microservices and backend services.
• Experience designing backend data models, working with databases (relational and/or NoSQL) and developing non-trivial SQL queries
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment, including setting team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows (data sensitivity, secure handling of inputs/outputs, resiliency and security expectations) and experience coaching engineers/leads on compliant usage patterns and controls.
• Ability to tackle complex design and functionality problems independently with limited oversight.

Responsibilities

• Provides technical guidance and direction to support the business and its engineering teams, contractors, and vendors.
• Designs and develops secure, high-quality production code; reviews, debugs, and raises the engineering bar through strong code review practices.
• Leads system design and implementation for cloud-native services on AWS, including APIs, standalone services, and event-driven components.
• Drives decisions that influence product design, application functionality, and technical operations and processes.
• Drives adoption and governance of approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis).
• Establishes measurable validation standards for AI-assisted workflows (secure coding, peer review, automated testing) and promotes reuse of proven patterns and automation within the SDLC/toolchain.
• Applies SDLC toolchain expertise (CI/CD, testing, IaC, observability) to improve reliability, delivery throughput, and operational excellence.
• Serves as a function-wide subject matter expert in one or more areas of focus and contributes to the engineering community as an advocate of firm-wide frameworks, tools, and practices.

Skills

Java

Python

Go

AWS

Microservices

Backend data models

SQL

Terraform

AI-assisted tooling

Responsible AI

Tools

Terraform

Docker

CI/CD

Kafka

Kinesis

SNS/SQS

MQ

Job description

JPMorgan Chase is seeking a Lead Software Engineer within Consumer & Community Banking's Data Technology space. You will guide agile teams, shape architecture, and deliver secure, scalable products across multiple technologies with hands-on delivery and strong technical leadership.

You will lead cloud-native services on AWS, influence product design, and promote responsible AI practices, while partnering to implement secure coding, automated testing, and robust SDLC tooling within enterprise