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Posted 10 days ago

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**Lead Software Engineer - Full Stack** In this NY-based role at JPMorgan Chase, you'll guide multiple technical teams as a Lead Software Engineer. Key responsibilities include setting operating practices for AI-assisted engineering, driving efficiency across teams, and collaborating with stakeholders to execute projects while mitigating issues. You'll bring 5+ years of software engineering experience, with 2+ years leading technologists, and a strong background in cloud native environments and AI use. Lead and coach teams, prioritize existing technology assets, and ensure secure handling of sensitive data. Influence leaders on safe scaling patterns and hire, develop, and recognize talent. In-depth knowledge of the services industry's IT systems is preferred.

Compensation: Not specified
City: New York City
Country: United States

Full Job Description

Location: NY, United States

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

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking's technology 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.

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 . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
Experience leading teams of technologists
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.
Experience with hiring, developing, and recognizing talent
In-depth knowledge of the services industry and their IT systems
Practical cloud native experience

Preferred qualifications, capabilities, and skills

Experience working at code level

Serve in a leadership role by providing technical coaching and advisory for multiple technical teams

Full Job Description

Location: NY, United States

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

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 . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
Experience leading teams of technologists
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.
Experience with hiring, developing, and recognizing talent
In-depth knowledge of the services industry and their IT systems
Practical cloud native experience

Preferred qualifications, capabilities, and skills

Experience working at code level

Serve in a leadership role by providing technical coaching and advisory for multiple technical teams

Lead Software Engineer - Full Stack

Full Job Description

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