Senior Manager of Software Engineering
About The Position
As a Senior Manager of Software Engineering at JPMorganChase within the Consumer & Community Banking division, this role provides technical coaching and advisory support for multiple technical teams and anticipates dependencies across firm functions. The Senior Manager uses technical expertise to influence budget and technical decisions that advance operational efficiency and functionality. The role leads teams of entry-level to mid-level software engineers handling basic to moderately complex work. It also establishes and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across teams, with measurable expectations for delivery speed, quality, and operational outcomes. Practices must support consistent validation, security, resiliency, and reuse of proven patterns, as well as secure handling of sensitive inputs and outputs. The position includes accountability for team resources, budget, tactical operations, and execution of processes and procedures. It requires full-stack and practical cloud-native experience, team leadership, and the ability to guide teams toward strategic goals. The role is part of Consumer & Community Banking, which provides financial services including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing.
Requirements
- Formal training or certification in software engineering concepts.
- At least 5 years of applied experience, plus at least 2 years of experience leading technologists to manage and solve complex technical items within the candidate’s domain of expertise.
- Experience leading teams of technologists.
- Ability to guide and coach teams on approaches to achieve goals aligned with strategic initiatives.
- Required full-stack experience with Java, Node.js, Postgres, REST, Kubernetes (K8), CI/CD, and AWS cloud.
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance and ways of working, human-in-the-loop validation, quality gates, outcome measurement, and secure handling of sensitive inputs and outputs.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity, resiliency and security implications, and control expectations.
- Experience hiring, developing, and recognizing talent.
- In-depth knowledge of the services industry and its IT systems.
- Practical cloud-native experience.
Nice To Haves
- Experience working at code level.
- Experience with Temporal.
- Payments domain experience.
Responsibilities
- Provide overall direction, oversight, and coaching for entry-level to mid-level software engineers working on basic to moderately complex tasks.
- Make decisions influencing team resources, budget, tactical operations, and the execution and implementation of processes and procedures.
- Set and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams.
- Establish measurable expectations, such as throughput, defect reduction, and reliability, and ensure consistent validation, security, resiliency, and reuse of proven patterns.
- Apply knowledge of the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity-unlock initiatives, prioritizing reuse of existing firm technology assets.
- Ensure successful collaboration across teams and stakeholders.
- Identify and mitigate issues to execute a book of work, escalating issues as necessary.
- Provide leadership with input regarding budget, approach, and technical considerations to improve operational efficiency and team functionality.
- Guide and coach teams on approaches for achieving goals aligned with strategic initiatives.
- Coach managers and leads and influence leaders on safe patterns for scaling responsible AI use in engineering workflows.
- Hire, develop, and recognize talent.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
