Senior Manager of Software Engineering - Python Engineering

Fairygodboss; Columbus (OH); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase is seeking aSenior Manager of Software Engineering within the platform engineering organization. You will coach multiple teams, drive enterprise AI-assisted development practices, and align efforts with cross-functional stakeholders to deliver scalable software platforms.

You will lead hands-on coding in Java, Python, and JavaScript, mentor engineers, and shape roadmaps that ensure security, reliability, and reuse of proven patterns across the enterprise.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Experience with AI-assisted software development tools and ability to coach engineers on validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows and experience coaching engineers on safe, compliant adoption.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced skills in Python.

Responsibilities

• Manages a team of software engineers building reusable frameworks, SDKs, and AI-native tools adopted across the enterprise, including hiring, performance management, and career development.
• Partners with stakeholders across engineering teams to understand adoption needs and ensure the component roadmap delivers measurable value.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns.
• 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.
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
• Contributes hands‑on as a technical lead, writing and reviewing production code in Java, JavaScript, or Python alongside the team.
• Identifies opportunities to improve operational stability and automate remediation of recurring issues.
• Builds and maintains a team culture of diversity, inclusion, and engineering excellence.
• Adds to team culture of diversity, opportunity, inclusion, and respect.

Skills

Python

Java

JavaScript

Software architecture

Cloud-native

Agile methodologies

AI-assisted development

Mentoring

Leadership

SDLC tooling

Tools

Git

CI/CD

Kubernetes

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Manager of Software Engineering at JPMorgan Chase within the platform engineering organization, you provide technical coaching and advisory for one or more engineering teams and anticipate the needs and dependencies of other functions across the organization. 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.

Job responsibilities

• Manages a team of software engineers building reusable frameworks, SDKs, and AI-native tools adopted across the enterprise, including hiring, performance management, and career development.
• Partners with stakeholders across engineering teams to understand adoption needs and ensure the component roadmap delivers measurable value.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns.
• 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.
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
• Contributes hands‑on as a technical lead, writing and reviewing production code in Java, JavaScript, or Python alongside the team.
• Identifies opportunities to improve operational stability and automate remediation of recurring issues.
• Builds and maintains a team culture of diversity, inclusion, and engineering excellence.
• Adds to team culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Demonstrated experience with AI-assisted software development tools and ability to coach engineers on validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows and experience coaching engineers on safe, compliant adoption.
• Hands‑on experience delivering system design, application development, testing, and operational stability.
• Advanced skills in Python.
• Experience leading multi‑team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human‑in‑the‑loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
• Experience leading and managing engineering teams, including hiring, performance management, and career development.
• Proficiency in all aspects of the Software Development Life Cycle and agile methodologies.
• Practical cloud‑native experience.

Preferred qualifications, capabilities, and skills

• Advanced skills in Java, JavaScript.
• Experience building SDKs, frameworks, or developer platforms that other engineering teams consume.
• Experience working with stakeholders to define and prioritize a platform component roadmap.
• Track record of growing engineers' careers and AI-assisted development skills.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.