JPMC

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.&nbsp;
As a Software Engineer at JPMorganChase within the Commercial &amp; Investment Bank – Digital &amp; Platform Services, you are 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 firm’s business objectives.&nbsp;
Job responsibilities
<ul>
<li>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</li>
<li>Develops secure and high-quality production code, and reviews and debugs code written by others</li>
<li>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.</li>
<li>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.</li>
<li>Lead end-to-end delivery of full-stack features spanning ReactJS UI, Java/Python backend services, SQL persistence, and Kafka event streaming.</li>
<li>Drive spec-driven development by authoring, reviewing, and maintaining executable/validated specifications (APIs, events, data contracts) as the source of truth; ensure implementation and tests remain aligned to the spec.</li>
<li>Use AI-assisted development frameworks (e.g., OpenSpec, Spec-Kit, or similar) to accelerate requirements-to-spec, spec-to-implementation, and spec-to-test workflows while maintaining engineering rigor.</li>
<li>Design and implement scalable, resilient REST APIs, including clear interface contracts and backward compatibility strategies.&nbsp; Design and implement AWS-based components leveraging S3 and AWS Lambda where appropriate.</li>
<li>Build and operate containerized services using Docker and Kubernetes (deployments, services/ingress, configuration/secrets, health checks, autoscaling).&nbsp; Implement event-driven workflows using Kafka (topic strategy, consumer groups, retry/DLQ patterns, schema evolution).</li>
<li>Provision and manage environments using Terraform (repeatable infrastructure, safe change management).&nbsp; Build LLM-based implementations (e.g., RAG, tool/function calling) with appropriate evaluation, monitoring, and controls.</li>
<li>Establish SDLC standards: design reviews, code reviews, automated testing, CI/CD, documentation, and operational readiness.&nbsp;Mentor and coach engineers; provide technical direction and promote continuous improvement.</li>
</ul>
&nbsp;
Required qualifications, capabilities, and skills
<ul>
<li>Formal training or certification on software engineering concepts and 3+ years applied experience</li>
<li>Hands-on practical experience delivering system design, application development, testing, and operational stability</li>
<li>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.</li>
<li>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</li>
<li>Strong backend development experience with Python (e.g., FastAPI/Flask), including API and service development.</li>
<li>Strong frontend development experience with ReactJS (modern React patterns, TypeScript/JavaScript).</li>
<li>Hands-on experience with Docker and Kubernetesrunning production workloads. Experience with Kafka (producer/consumer patterns, error handling, schema evolution).</li>
<li>Strong SQL skills and relational data modeling experience; query optimization and indexing.</li>
<li>Hands-on AWS experience including S3 and AWS Lambda; cloud security fundamentals (e.g., IAM-based access patterns). Experience using Terraform for infrastructure-as-code.</li>
<li>Spec-driven development experience, including: Defining and maintaining machine-readable specs (e.g., OpenAPI for REST and/or AsyncAPI for event interfaces); Driving implementation and automated tests from specs (contract testing, validation, backward compatibility checks); Using AI-assisted spec-to-code / spec-to-test tooling (e.g., OpenSpec, Spec-Kit, or similar).</li>
<li>LLM (or other AI Tool) application experience in production (prompt/versioning practices, grounding/RAG concepts, evaluation/monitoring basics, secure data handling).</li>
</ul>
&nbsp;
Preferred qualifications, capabilities, and skills
<ul>
<li>Experience working with relational databases such as DB2 or PostgreSQL.</li>
<li>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.</li>
<li>Financial services knowledge, with an understanding of the commercial lending space.</li>
<li>Experience working in regulated environments requiring strong risk management, controls, and auditability.</li>
</ul>

Software Engineer III - Python Full Stack Developer

Software Engineer III - Python Full Stack Developer

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