Python

JPMorgan Chase & Co.•Wilmington, DE

About The Position

As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience.
10+ years of hands-on experience in the software industry, specializing in Java, Python, AWS (including EKS, S3, Lambda, EMR), and Terraform.
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 and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Strong exposure to security and infrastructure within cloud environments.
Practical cloud-native development experience specifically in AWS, with a focus on designing and delivering robust solutions.
Demonstrated expertise in software design principles and complete end-to-end, hands-on delivery.
Experience in streaming systems such as Kafka.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Proficiency in automation and continuous delivery methods.

Nice To Haves

Advanced understanding of agile methodologies, including 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.).
Proficient in all aspects of the Software Development Life Cycle.
Advanced proficiency in one or more programming languages.
In-depth knowledge of the financial services industry and their IT systems.
Proficiency in Data Engineering concepts and related technologies such as AWS EMR and Databricks. Certifications is a plus

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
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.
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
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
Leading and managing a high performing team of software engineers