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 JPMorgan Chase within the Infrastructure Platforms 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
Supports the adoption of site reliability engineering best practices within your team
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 .
Experience leading teams of technologists
Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
Ability to contribute to large and collaborative teams by presenting information in a logical and timely manner with compelling language and limited supervision
Ability to proactively recognize road blocks and demonstrates interest in learning technology that facilitates innovation
Ability to identify new technologies and relevant solutions to ensure design constraints are met by the software team
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
Ability to initiate and implement ideas to solve business problems
Passion for learning new technologies and driving innovative solutions.
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