Sr Manager of Software Engineering- Java, AWS
JPMorgan Chase & Co.Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and coach multiple software engineering teams focused on financial technologies with emphasis on entry-level to mid-level engineers handling moderately complex tasks.
Own decisions affecting team resources, budget, tactical operations, and process implementation to improve delivery speed, quality, and operational outcomes especially involving AI-assisted engineering and SDLC automation.
Drive enterprise-wide adoption of AI-assisted development tools and cloud-native engineering best practices on AWS/Azure, ensuring security, resiliency, and reusable patterns across teams.
Minimum Requirements
5+ years applied software engineering experience and 2+ years leading technical teams to solve complex problems within their domain.
Proven expertise in distributed system design including APIs, microservices, event-driven architectures, data stores, and resiliency patterns.
Practical experience building cloud-native solutions on AWS and/or Azure including containerization and platform engineering.
Formal training or certification in software engineering concepts.
Ideal Candidate Profile
Experienced leader adept at coaching multiple teams through strategic initiatives in technology delivery, focusing on operational impact and efficiency improvements.
Strong background in implementing enterprise AI-assisted development tools and governance, with a focus on responsible AI usage and secure handling of sensitive data.
Deep understanding of scalable, resilient cloud-native architectures and ability to influence leaders on safe scaling and automation best practices.
