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 JPMorgan Chase within the Network Automation Project team which is aligned to Infrastructure Platforms , 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.

Our team members are passionate around solving business problems through innovation and engineering practices. You will partner continuously with the stakeholders on a daily basis to stay focused on common goals. You will work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our clients.

Job 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

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

Develop python product and provide end to end support, have hands-on-knowledge in python application development, testing and operational stability to help team deliver high-quality products and implement solution adhering to micro services Architecture

Be instrumental in solving technical issues, developing integration elements, building data models, APIs, and open 3rd-party SDKs

Implement and adhere to resiliency patterns

Harness massive amounts of brainpower through our global network of technologists from around the world to tackle big challenges

Required qualifications, capabilities, and skills

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 Python coding experience ; Proven experience in application design and development

Proficiency in Python and Django/flask ; Kubernetes or Cloud Foundry ; Automated testing

Good understanding of Rabbit MQ , Celery/Asynchronous APIs ; algorithms & data structure

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

In-depth knowledge of the financial services industry and their IT systems

Practical cloud native experience

Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals

Preferred qualifications, capabilities, and skills

• Basic understanding of NoSQL databases like Cassandra, Elastic Search, Cockroach DB
• Good understanding of Micro services architecture
• Good understanding of RDMS database