Senior AWS Software Engineer - AI-Driven Microservices

JPMorgan Chase & Co.

Whitewater (CO)

On-site

USD 140,000 - 190,000

Full time

9 days ago

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Job summary

JPMorgan Chase & Co. in Colorado seeks a Lead Software Engineer AWS to join the Origination Workflows Team.

You will be a core technical contributor, building secure, scalable systems and delivering trusted technology products in an agile environment. You will design and deliver microservices with Java/Python, integrate AWS services, and coach teams on AI-assisted engineering practices to improve quality, velocity, and security while ensuring resiliency.

Qualifications

Formal training or certification on software engineering concepts and 5+ years applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced in one or more programming language(s) including Java or Python.
Experience in building microservices using Java/Spring Boot and Python/FastAPI/Flask.
Experience with AWS services - S3, DynamoDB, ECS, Lambda, Step functions, RDS, Lambda, and ALB/NLB.
Experience with pair programming agents such as GitHub Copilot/Claude code to accelerate prototyping.
Experience in building high-volume, low-latency, high-throughput transactional systems.
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) 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 engineers on safe, compliant adoption within delivery practices.
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
Experience with AWS and Terraform.

Responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Develops secure and high-quality production code, and reviews and debugs code written by others
Develop web applications using service-oriented and microservices architecture with Java and Python frameworks.
Integrate solutions with AWS Cloud Services, including compute, storage, databases, and security components.
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability 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