Lead Software Engineer - Python/Django

JPMorganChase; Plano (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer for Infrastructure Platforms in Plano, TX. You will drive secure, scalable production code and empower teams with AI-assisted engineering practices to enhance code quality and delivery speed.

Responsibilities include automation, architecture reviews, and leading communities of practice while maintaining a culture of inclusion and excellence.

Qualifications

• Formal training/certification in software engineering with 5+ years of experience.
• Proficiency in Python, Django, or equivalent frameworks.
• Hands-on experience delivering design, development, testing, and operational stability.
• Strong SDLC knowledge with agile methods: CI/CD, resiliency, security.
• Experience designing/deploying containerized distributed apps; AWS and IaC (Terraform).
• Familiarity with AI-assisted engineering practices and automated testing.

Responsibilities

• Executes creative software solutions with scalable architecture.
• Develops secure, high‑quality production code and reviews code.
• Identifies opportunities to automate recurring issues to improve stability.
• Drives AI-assisted engineering practices to improve quality and speed.
• Leads architectural evaluations with vendors and internal teams.

Skills

Python/Django

CI/CD

Cloud (AWS)

Terraform

Docker/Kubernetes

AI-assisted engineering

Agile methodologies

Education

Formal software engineering training/certification

Tools

Terraform

CockroachDB

Cloud-native tooling

Job description

Lead Software Engineer – Infrastructure Platforms

As a Lead Software Engineer at JPMorgan Chase within the 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.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high‑quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• 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 and 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
• 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Advanced in one or more programming language(s) and framework(s) (e.g., Python, Django, etc.)
• Proficiency in automation and continuous delivery methods and hands‑on practical experience delivering system design, application development, testing, and operational stability
• Proficient in all aspects of the Software Development Life Cycle and must have advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• 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, with enterprise authorized AI‑assisted development and automation capabilities, to improve the value realized by automation
• Proven expertise in designing, deploying, and managing containerized distributed applications, with a strong understanding of orchestration and scaling strategies.
• Demonstrated ability to architect and manage infrastructure on AWS Cloud, utilizing Infrastructure as Code (IaC) tools like Terraform to automate and optimize deployment processes.
• Proven experience in designing and implementing control plane architectures for large‑scale applications, focusing on efficient resource management, orchestration, and system reliability to support complex, distributed systems.
• In‑depth knowledge of the financial services industry and their IT systems

Preferred Qualifications

• Hands‑on experience with relational databases, particularly CockroachDB or similar distributed databases, ensuring data consistency, reliability, and performance in distributed environments.
• Practical cloud native experience

Equal Employment Opportunity

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.