Senior Manager of Software Engineering - Full Stack
Key Skills for This Role
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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 software engineering, including system design, application development, testing, and operational support. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
- 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.
- Proficiency in back-end technologies (e.g., Java, Springboot, Node.js ) with experience building microservices-based applications; and front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).
- Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
- Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
- Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
- Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
Preferred qualifications, capabilities, and skills
- Experience with problem-solving, analytical skill
- Ability to drive broader impact by sharing and contributing best practices.
- Experience in the banking domain.
- AWS certification.
About JPMorgan Chase
Global financial services and investment banking firm.
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