Senior Manager of Software Engineering at JP Morgan Chase – Jersey City | Jobyssey

Guide and shape the future of technology at a globally recognized firm, driven by pride in ownership.

As a Senior Manager of Software Engineering at JPMorgan Chase within the Enterprise technology, liquidity risk team, you are the non-functional requirement owner and champion for the applications in your remit. You are a key influencer in your team’s strategic planning, driving continual improvement in customer experience, resiliency, security, scalability, monitoring, instrumentation, and automation of the software in your area. You act in a blameless, data-driven manner and navigate difficult situations with composure and tact.

Job responsibilities

Demonstrates expertise in site reliability principles and demonstrates an understanding of the fine balance between features, efficiency, and stability
Effectively negotiates with peers and executive partners to ensure optimal outcomes for all
Drives the adoption of site reliability practices throughout the organization
Drives reuse-first adoption of enterprise-authorized AI capabilities within the work environment to improve reliability operations and customer experience outcomes, with human-in-the-loop validation and appropriate handling of sensitive data
Ensures your teams demonstrate site reliability best practices with the ability to demonstrate this empirically through stability and reliability metrics
Drives a culture of continual improvement and solicits real-time feedback to improve the customer’s experience
Ensures your team collaborates with other teams within your group’s specialization and avoids duplication of work where possible
Follows blameless, data-driven, post-mortem strategies and conducts regular team debriefs to enable learning from both successes and mistakes
Provides personalized coaching for entry to mid-level team members
Ensures your team documents and shares their knowledge and innovations via internal forums, communities of practice, guilds, and conferences
Establishes team standards for AI-assisted reliability workflows across automation and delivery practices, ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Advanced proficiency in site reliability culture and principles and can demonstrate how to implement site reliability across application and platform teams while avoiding common pitfalls
Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity.
Ability to set and reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes.
Experience leading technologists to manage and solve complex technological issues at a firmwide level
Ability to influence the team’s culture by championing innovation and change for success
Experience hiring, developing, and recognizing talent
Proficiency in at least one programming language (e.g., Python, Java Spring Boot, .Net, etc.)
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.)
Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)and troubleshooting common networking technologies and issues

Preferred qualifications, capabilities, and skills

Ability to code and demonstrate data fluency

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