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Engineering Manager: Agent & Developer Platform(m/w/x)
Leading a team of 4-6 engineers on Ledgy's equity management platform, focusing on AI agent workflows. Strong vision for modern platform engineering with AI agents required. Up to 40 days remote work, yearly learning budget.
Requirements
- Strong vision for modern platform engineering with AI agents
- Deep experience in CI/CD, DevOps, and infrastructure
- Opinions on fast, reliable, agent-friendly pipelines
- Excited about building scalable systems
- Experience in observability, deployment automation, developer experience, and IaC
- Security-minded approach to platform engineering
- Eagerness to define evolving security models for AI agents
- Love developing people and watching engineers grow
- Desire to remain hands-on
- Comfortable building with Terraform, debugging pipelines, and shipping improvements
- Active use of AI tools to multiply output
- 3+ years experience in Engineering Management
- 6+ years as a Software Engineer
- Meaningful time in platform, infrastructure, or DevOps roles
Tasks
- Lead a team of 4-6 platform engineers
- Set technical direction for the engineering team
- Create an environment for career growth
- Optimize CI/CD pipelines for speed and reliability
- Ensure seamless workflows for human and AI agents
- Manage GCP infrastructure and Terraform configurations
- Set and monitor SLOs for production systems
- Work with the CISO on security strategy
- Prioritize security for regulated fintech clients
- Build AI infrastructure for agent operations
- Develop MCP interface for AI tools
- Implement agent identity and access models
- Create dry-run and sandbox environments
- Build relationships with direct reports
- Understand career aspirations of team members
- Identify friction points in CI/CD and deployment
- Evaluate AI agent usage in engineering workflows
- Translate product vision into technical reality
- Understand current security posture and compliance
- Drive improvements in pipeline reliability
- Set measurable SLOs for build times and deployments
- Define roadmap for agent-ready platform
- Support team members in their growth
- Shape platform strategy with leadership
- Partner with CISO on AI-specific security risks
- Execute on high-priority security items
- Define technical leadership for platform scaling
- Deliver improvements to developer experience
- Conduct meaningful career development conversations
- Conduct performance reviews
- Influence organization-wide software shipping practices
- Be a trusted technical advisor to leadership
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- CI/CD
- DevOps
- Terraform
- AI agents
Benefits
Flexible Working
- Flexible working hours
- Up to 40 days remote work
Learning & Development
- Yearly learning & development budget
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Engineering Manager: Agent & Developer Platform(m/w/x)
Leading a team of 4-6 engineers on Ledgy's equity management platform, focusing on AI agent workflows. Strong vision for modern platform engineering with AI agents required. Up to 40 days remote work, yearly learning budget.
Requirements
- Strong vision for modern platform engineering with AI agents
- Deep experience in CI/CD, DevOps, and infrastructure
- Opinions on fast, reliable, agent-friendly pipelines
- Excited about building scalable systems
- Experience in observability, deployment automation, developer experience, and IaC
- Security-minded approach to platform engineering
- Eagerness to define evolving security models for AI agents
- Love developing people and watching engineers grow
- Desire to remain hands-on
- Comfortable building with Terraform, debugging pipelines, and shipping improvements
- Active use of AI tools to multiply output
- 3+ years experience in Engineering Management
- 6+ years as a Software Engineer
- Meaningful time in platform, infrastructure, or DevOps roles
Tasks
- Lead a team of 4-6 platform engineers
- Set technical direction for the engineering team
- Create an environment for career growth
- Optimize CI/CD pipelines for speed and reliability
- Ensure seamless workflows for human and AI agents
- Manage GCP infrastructure and Terraform configurations
- Set and monitor SLOs for production systems
- Work with the CISO on security strategy
- Prioritize security for regulated fintech clients
- Build AI infrastructure for agent operations
- Develop MCP interface for AI tools
- Implement agent identity and access models
- Create dry-run and sandbox environments
- Build relationships with direct reports
- Understand career aspirations of team members
- Identify friction points in CI/CD and deployment
- Evaluate AI agent usage in engineering workflows
- Translate product vision into technical reality
- Understand current security posture and compliance
- Drive improvements in pipeline reliability
- Set measurable SLOs for build times and deployments
- Define roadmap for agent-ready platform
- Support team members in their growth
- Shape platform strategy with leadership
- Partner with CISO on AI-specific security risks
- Execute on high-priority security items
- Define technical leadership for platform scaling
- Deliver improvements to developer experience
- Conduct meaningful career development conversations
- Conduct performance reviews
- Influence organization-wide software shipping practices
- Be a trusted technical advisor to leadership
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- CI/CD
- DevOps
- Terraform
- AI agents
Benefits
Flexible Working
- Flexible working hours
- Up to 40 days remote work
Learning & Development
- Yearly learning & development budget
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Ledgy
Industry
FinancialServices
Description
The company builds a tech-driven equity management and financial reporting platform for private and public companies.
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