Live opening · Posted 6 hours ago
At a glance
The key details from the original listing.
Your early-applicant advantage
Live timing from JobBeeper.
About the role
Description supplied by the original job listing.
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 JPMorganChase within the Corporate Sector's Experience Tech Web App 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
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.
More openings worth a look
Recently tracked roles with full details and direct application links.