Lead Software Engineer - Python

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within Infrastructure Platforms - Core Foundational Platforms / Databases, you will be an integral part of a global agile engineering team responsible for designing, building, and delivering secure, stable, scalable, and highly automated database platform capabilities across the firm.

The Cloud Relational Database Team develops automation, self-service capabilities, and engineering solutions that support database provisioning, build, deployment, lifecycle management, and operational efficiency for enterprise database platforms.

In this role, you will contribute to and lead engineering efforts for database automation and platform services You will work closely with product owners, database engineering teams, infrastructure teams, application development teams, and site reliability teams to deliver modern, resilient, and developer-friendly database services.

You will be expected to bring strong software engineering practices, automation-first thinking, and technical leadership to solve complex infrastructure and database platform challenges at enterprise scale.

Job responsibilities


* Design, develop, test, deploy, and maintain high-quality software solutions that automate database build with deployment, provisioning, configuration, lifecycle management, and operational workflows


* Build and enhance self-service capabilities for database platforms used across the firm to enable faster delivery, improve developer experience, and reduce operational toil


* Develop secure, reliable, and scalable backend services, APIs, automation frameworks, user interfaces, and orchestration workflows using technologies such as Python, React, Django, Ansible, Terraform and other related engineering tools


* Execute creative software solutions in designing, developing and technical troubleshooting, thinking beyond routine or conventional approaches to solve complex technical problems


* Produce secure, high-quality code, perform code reviews, debug complex issues, and provide technical guidance to other engineers


* Identify opportunities to eliminate manual processes and automate remediation of recurring issues to improve the operational stability, resiliency, and efficiency of database platforms and supporting applications


* Partner with database engineering, cloud, infrastructure, cybersecurity, and application teams to deliver solutions that align with firmwide architecture, resiliency, control, and security standards


* Contribute to the modernization of database build and deployment capabilities, including cloud-enabled patterns, infrastructure-as-code, continuous delivery, and self-service operating models


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed,...