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# Senior Manager of Software Engineering

- **Company:** JPMorgan Chase & Co.
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Engineering, Systems Development Life Cycle, Software Engineering, Toolchain, Actimize
- **Published:** September 9, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28002825/Senior-Manager-Software-Engineering-New-Jersey-Jersey-City-7463

## About the Role

* 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
 * 3+ years of experience customizing, deploying and operating NICE Actimize products in 24x7 mode
 * 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
 * Practical cloud native experience

Preferred qualifications, capabilities, and skills

 * Experience working at code level

## 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., * 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


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