Senior Manager of Software Engineering - Full Stack

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase in Jersey City seeks a Senior Manager of Software Engineering to mentor multiple teams, drive AI-assisted development, and influence budget and technical decisions across the firm’s Experience Tech Web App initiatives.

You will guide back-end and front-end engineers, architect scalable microservices, and ensure secure, resilient delivery with modern SDLC practices in a banking environment.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience software engineering, including system design, application development, testing, and operational support.
• 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including governance and quality gates.

Responsibilities

• Provide direction, oversight, and coaching for a team of engineers across tasks of varying complexity
• Influence budget, resources, and execution of processes and procedures
• Set operating practices for AI-assisted engineering and SDLC/TLM automation across teams to improve delivery speed and reliability
• Drive reuse of firm technology assets and secure handling of sensitive inputs/outputs
• Collaborate across teams and stakeholders to ensure successful delivery
• Identify and mitigate issues to maintain a focused book of work and escalate as needed
• Provide input to leadership on budget, approach, and technical considerations

Skills

Leadership

Backend development

Java

Springboot

Node.js

Frontend technologies

HTML

CSS

JavaScript

TypeScript

React

Angular

Cloud platforms

AWS

Azure

GCP

RESTful APIs

Web services

WebSockets

SQL

NoSQL

CI/CD

Security

AI-assisted development

Education

Formal training or certification in software engineering

5+ years applied experience in software engineering

2+ years leading technologists

Tools

AI-assisted development tools

Job description

When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.

As a Senior Manager of Software Engineering at JPMorganChase within the Corporate Sector's Experience Tech Web App team, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Job responsibilities

• - Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• - Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• - 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.
• - Ensures successful collaboration across teams and stakeholders
• - Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• - Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team

Required qualifications, capabilities, and skills

• - Formal training or certification on software engineering concepts and 5+ years applied experience software engineering, including system design, application development, testing, and operational support . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• - Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• - 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.
• - Proficiency in back-end technologies (e.g., Java, Springboot, Node.js ) with experience building microservices-based applications; and front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).
• - Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
• - Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
• - Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
• - Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.
• - 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.).

Preferred qualifications, capabilities, and skills

• - Experience with problem-solving, analytical skill
• - Ability to drive broader impact by sharing and contributing best practices.
• - Experience in the banking domain.
• - AWS certification.