Engineering Manager: Lead Teams to Secure AI Solutions

Next Frontier Capital

Austin (TX)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

JPMorganChase is seeking a Manager of Software Engineering to lead multiple teams and guide day-to-day implementation activities while maintaining compliance and business alignment. You will set expectations for output and collaboration and drive architectural design across projects.

You will oversee secure, scalable production code and promote responsible AI-assisted engineering practices, exploring enterprise-authorized tools and SDLC automation to enhance delivery speed and quality, with a

Qualifications

  • Formal training or certification in software engineering concepts.
  • 5+ years of applied experience leading technologist teams.
  • Experience delivering system design, app development, testing, and operational stability.

Responsibilities

  • 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.
  • 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, SLAs and business requirements.
  • Creates a culture of diversity, opportunity, inclusion, and respect for team members.

Skills

Team leadership
Software engineering
Agile methodologies
Security
CI/CD pipelines
GIT/Bitbucket
AI-assisted development
Data governance & compliance

Education

Formal training or certification in software engineering concepts

Tools

JIRA
Git/Bitbucket
CI/CD tooling

Job description

JPMorganChase is seeking a Manager of Software Engineering to lead multiple teams and guide day-to-day implementation activities while maintaining compliance and business alignment. You will set expectations for output and collaboration and drive architectural design across projects.

You will oversee secure, scalable production code and promote responsible AI-assisted engineering practices, exploring enterprise-authorized tools and SDLC automation to enhance delivery speed and quality, with a

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