Leads multiple software engineering teams, providing technical direction, coaching, and oversight. Owns resource and budget decisions, SDLC practices, cross-team collaboration, operational excellence, and delivery execution. Drives enterprise adoption of AI-assisted engineering and SDLC automation with governance, security, resiliency, quality, and measurable outcomes. Advises leadership on technical strategy and efficiency while hiring, developing, and recognizing talent.
Join us to shape the future of financial technology through impactful leadership and technical guidance. Advance your career by mentoring teams and influencing innovative solutions.
As a Senior Manager of Software Engineering at JPMorgan Chase within the Infrastructure Platforms team, you provide technical coaching and advisory for multiple teams, anticipating needs and dependencies across functions. Your expertise influences budget and technical decisions to enhance operational efficiency and functionality. You play a key role in advancing team culture and operational excellence.
Job responsibilities
- Provide direction, oversight, and coaching for entry-level to mid-level software engineers working on basic to moderately complex tasks
- Be accountable for decisions impacting resources, budget, tactical operations, and process implementation
- Advocate firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Ensure successful collaboration across teams and stakeholders
- Identify and mitigate issues to execute a book of work, escalating as necessary
- 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.
- Provide input to leadership on budget, approach, and technical considerations to improve operational efficiencies and functionality
- Foster a culture of opportunity and respect for team members
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Minimum of 10 years of experience leading software teams
- Hands-on expertise in Python, Django, Flask
- Ability to guide and coach teams to achieve strategic goals
- Practical experience delivering system design, application development, testing, and operational stability
- 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
Preferred qualifications, capabilities and skills
- Experience working at code level
- Experience in front-end technologies such as React and Angular
- Experience building cloud native solutions
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