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Manager of Software Engineering - Analytics & Feedback Platforms

JPMorgan Chase
Columbus, USA
Manager · 5+ years experience
Discovered 1 months ago
javakafkaspring-boot

Full Job Posting

  • Provides guidance to immediate team of software engineers on daily tasks and activities
  • Sets the overall guidance and expectations for team output, practices, and collaboration
  • Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives.
  • Anticipates dependencies with other teams to deliver products and applications in line with business requirements
  • Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
  • Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience
  • Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.
  • Experience leading technology teams, managing technologists, and delivering complex technology initiatives from concept through production.
  • Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
  • Hands-on experience delivering system design, application development, testing, deployment, and operational stability across the full Software Development Life Cycle.
  • Strong full-stack engineering background with expertise in backend application development and application integrations.
  • Expert-level knowledge of one or more programming languages, with the ability to independently solve complex design, scalability, performance, and functionality challenges.
  • Advanced understanding of Agile delivery, CI/CD, application resiliency, security, observability, and cloud-native engineering practices.
  • Practical experience developing and deploying applications in public or private cloud environments.
  • Proven ability to establish engineering standards, drive technical excellence, and promote software quality through code reviews, automated testing, reusable patterns, and engineering automation.
  • Advanced proficiency in Java, JEE, Spring, Spring Boot, REST APIs, Kafka, automated testing frameworks, integration testing, and modern engineering practices.
  • Strong analytical and problem-solving skills, with the ability to evaluate multiple solution options and make sound technical decisions with limited oversight.
  • Working knowledge of financial services technology environments, controls, compliance expectations, and regulatory considerations.
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field, or equivalent practical experience.
  • Practical cloud native experience

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