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LELedgy

Engineering Manager: Agent & Developer Platform(m/w/x)

Zürich
Full-timeWith Home OfficeManagement
AI/ML

Leading 4–6 platform engineers to optimize CI/CD pipelines and AI-agent deployment workflows for an equity management platform. Deep infrastructure and DevOps experience in scalable systems required. Equity ownership and 40 days of remote work per year.

Requirements

  • Strong vision for modern platform engineering
  • Deep experience in CI/CD, DevOps, and infrastructure
  • Interest in building scalable systems
  • Security-minded approach to platform engineering
  • Passion for developing and growing engineers
  • Hands-on experience with Terraform and AI tools
  • 3+ years Engineering Management and 6+ years Software Engineering experience

Tasks

  • Lead a team of 4–6 platform engineers
  • Set technical direction for the platform
  • Foster an environment for high-quality work
  • Optimize CI/CD pipelines for speed and reliability
  • Improve human and AI-agent deployment workflows
  • Manage GCP infrastructure and Terraform configurations
  • Oversee monitoring, alerting, and production observability
  • Establish and track measurable SLOs
  • Partner with the CISO on security strategy
  • Prioritize security for regulated fintech environments
  • Implement supply chain security and access controls
  • Build foundations for AI agents in production
  • Develop MCP interfaces for AI tools
  • Design agent identity and access models
  • Create sandbox environments for safe experimentation
  • Build meaningful relationships with direct reports
  • Support career aspirations and professional growth
  • Identify friction points in infrastructure processes
  • Analyze AI agent usage in engineering workflows
  • Translate product vision into technical reality
  • Assess security posture and compliance requirements
  • Improve pipeline reliability and deployment frequency
  • Define the roadmap for agent-ready platform scaling
  • Shape platform strategy with the CTO
  • Mitigate AI-specific security and data exposure risks
  • Drive organization-wide software shipping initiatives
  • Conduct performance reviews and career conversations
  • Advise leadership on technical direction

Education

Bachelor's degreeORMaster's degree

Languages

EnglishBusiness Fluent

Tools & Technologies

CI/CDDevOpsInfrastructure-as-codeTerraformAI tools

Benefits

Flexible Working

  • Hybrid work model
  • Flexible working hours
  • 40 days of remote work

Competitive Pay

  • Equity

Learning & Development

  • Professional development
  • Yearly learning & development budget
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