Engineering Manager: Agent & Developer Platform
LedgySwitzerland6 hours ago
Full-timeRemote FriendlyDesign, Engineering
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At Ledgy, we’re on a mission to make Europe a powerhouse of entrepreneurship by building a modern, tech-driven equity management and financial reporting platform for private and public companies. In 2026, we aim to be the leading provider for European IPOs and reporting for share-based payments. We are a value-based company with a core focus on being humble, transparent, ambitious and impactful, all in order to delivery the best experience for our customers and end users.
We are proud to partner with some of the world’s leading investors. New Enterprise Associates led our $22m Series B round in 2022, with Philip Chopin joining Sequoia’s Luciana Lixandru on our board.
We were founded in Switzerland in 2017 and today we operate globally from offices in Zurich and London. We encourage diversity and are an international team coming from 26 different countries and speaking 25 different languages.
About the Role
As a hands-on Engineering Manager of our agent and developer platform at Ledgy, you'll lead the team that makes everything else possible, the infrastructure, CI/CD pipelines, developer and agent tooling, security posture, and platform capabilities that thousands of employees worldwide depend on to experience equity ownership. You'll lead a team of 4–6 engineers building the foundation for Ledgy's next chapter: a platform where AI agents operate as first-class citizens alongside human engineers.
This is a good fit if you see DevOps, CI/CD, and platform engineering not as plumbing, but as one of highest-leverage investment a company can make - especially as AI agents become core contributors to how software is built and delivered. You'll also partner closely with our CISO to shape Ledgy's security strategy, particularly as AI transforms the threat landscape and our enterprise customers demand rigorous security practices. You'll report directly to the Head of Engineering and play a key role in scaling our platform and our engineering culture.
You'll Thrive in This Role If You
Have a strong vision for what modern platform engineering looks like when AI agents are writing, testing, and deploying code alongside humans
Bring deep experience in CI/CD, DevOps, and infrastructure - and opinions about how to make pipelines fast, reliable, and agent-friendly
Are excited about building systems that scale: observability, deployment automation, developer experience, and infrastructure-as-code
Have a security-minded approach to platform engineering - you understand that when AI agents have access to production systems and sensitive financial data, the security model needs to evolve, and you're eager to help define what that looks like
Love developing people, watching engineers grow and tackle increasingly sophisticated challenges
Want to remain hands-on - you're comfortable building with Terraform, debugging pipelines, and shipping improvements yourself, and you actively use AI tools to multiply your output
Have 3+ years experience in Engineering Management and 6+ years as a Software Engineer, with meaningful time spent in platform, infrastructure, or DevOps roles
What You'll Own
Team Leadership: Leading a team of platform engineers, setting technical direction, and creating an environment where people do the best work of their careers.
CI/CD & Developer Experience: Our build and deployment pipelines - making them fast, reliable, and optimised for both human and AI-agent workflows. Think: how do we make it seamless for an agent to open a PR, get it reviewed, and ship it?
Infrastructure & Observability: Our GCP infrastructure, Terraform configuration, monitoring, and alerting. You'll set SLOs and make sure we can see what's happening in production - including what agents are doing.
Security Partnership: Working alongside our CISO to define and execute Ledgy's security strategy. This means helping prioritise what matters most for a regulated fintech serving enterprise clients - from supply chain security and access controls to the new challenges introduced by AI agents operating in production systems. You'll be the engineering leader who turns security strategy into implemented reality.
AI Infrastructure & Agent Platform: Building the foundations that let both humans and AI agents operate effectively in Ledgy's systems. This includes an MCP interface that exposes our platform to AI tools, agent identity and access models (distinguishing human from agent actions in audit logs and permissions), dry-run and sandbox environments for safe experimentation.
Our tech stack:
We have a modern, cohesive stack that lets us move fast while maintaining quality:
Language: TypeScript
Frontend: React, Tailwind CSS, tRPC
Backend: tRPC, Node.js, MongoDB, Temporal
Infrastructure: GCP, Terraform Cloud, Kubernetes, Docker, Github Actions
What Your Journey Could Look Like
First 30 Days
Build meaningful relationships with your direct reports and understand their career aspirations
Get hands-on with our CI/CD pipelines, infrastructure, and deployment processes - identify the biggest friction points
Understand how AI agents are already being used in our engineering workflows (Cursor, Claude Code, automated PRs) and where the gaps are
Join the engineering leadership team and understand how we translate product vision into technical reality
Meet with our CISO and understand Ledgy's current security posture, compliance requirements, and where the biggest gaps are
First 3 Months
Own and drive improvements to pipeline reliability and speed - set measurable SLOs for build times, deployment frequency, and failure rates
Define and begin executing a roadmap for making our platform agent-ready: what needs to change so that AI agents can contribute code safely and at scale?
Have regular 1:1s with your reports and support them in their growth
Shape platform strategy alongside the Head of Engineering and CTO
Partner with the CISO to define a security roadmap that accounts for AI-specific risks - agent access controls, code provenance, data exposure through AI tooling - and begin executing on the highest-priority items
6–12 Months
Be recognised as the technical leader who defines how Ledgy's platform scales - for both humans and agents
Have delivered measurable improvements to developer experience, deployment velocity, and infrastructure reliability
Lead meaningful career development conversations and conduct performance reviews
Own engineering initiatives that influence how the entire organisation ships software
Be a trusted partner to product and engineering leadership on technical direction
The Interview Process
Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
We make space for your own professional development, with a generous yearly learning & development budget.
This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
For candidates based in London or Zurich we use a hybrid work model of 2 days in the office per week.
We are proud to partner with some of the world’s leading investors. New Enterprise Associates led our $22m Series B round in 2022, with Philip Chopin joining Sequoia’s Luciana Lixandru on our board.
We were founded in Switzerland in 2017 and today we operate globally from offices in Zurich and London. We encourage diversity and are an international team coming from 26 different countries and speaking 25 different languages.
About the Role
As a hands-on Engineering Manager of our agent and developer platform at Ledgy, you'll lead the team that makes everything else possible, the infrastructure, CI/CD pipelines, developer and agent tooling, security posture, and platform capabilities that thousands of employees worldwide depend on to experience equity ownership. You'll lead a team of 4–6 engineers building the foundation for Ledgy's next chapter: a platform where AI agents operate as first-class citizens alongside human engineers.
This is a good fit if you see DevOps, CI/CD, and platform engineering not as plumbing, but as one of highest-leverage investment a company can make - especially as AI agents become core contributors to how software is built and delivered. You'll also partner closely with our CISO to shape Ledgy's security strategy, particularly as AI transforms the threat landscape and our enterprise customers demand rigorous security practices. You'll report directly to the Head of Engineering and play a key role in scaling our platform and our engineering culture.
You'll Thrive in This Role If You
Have a strong vision for what modern platform engineering looks like when AI agents are writing, testing, and deploying code alongside humans
Bring deep experience in CI/CD, DevOps, and infrastructure - and opinions about how to make pipelines fast, reliable, and agent-friendly
Are excited about building systems that scale: observability, deployment automation, developer experience, and infrastructure-as-code
Have a security-minded approach to platform engineering - you understand that when AI agents have access to production systems and sensitive financial data, the security model needs to evolve, and you're eager to help define what that looks like
Love developing people, watching engineers grow and tackle increasingly sophisticated challenges
Want to remain hands-on - you're comfortable building with Terraform, debugging pipelines, and shipping improvements yourself, and you actively use AI tools to multiply your output
Have 3+ years experience in Engineering Management and 6+ years as a Software Engineer, with meaningful time spent in platform, infrastructure, or DevOps roles
What You'll Own
Team Leadership: Leading a team of platform engineers, setting technical direction, and creating an environment where people do the best work of their careers.
CI/CD & Developer Experience: Our build and deployment pipelines - making them fast, reliable, and optimised for both human and AI-agent workflows. Think: how do we make it seamless for an agent to open a PR, get it reviewed, and ship it?
Infrastructure & Observability: Our GCP infrastructure, Terraform configuration, monitoring, and alerting. You'll set SLOs and make sure we can see what's happening in production - including what agents are doing.
Security Partnership: Working alongside our CISO to define and execute Ledgy's security strategy. This means helping prioritise what matters most for a regulated fintech serving enterprise clients - from supply chain security and access controls to the new challenges introduced by AI agents operating in production systems. You'll be the engineering leader who turns security strategy into implemented reality.
AI Infrastructure & Agent Platform: Building the foundations that let both humans and AI agents operate effectively in Ledgy's systems. This includes an MCP interface that exposes our platform to AI tools, agent identity and access models (distinguishing human from agent actions in audit logs and permissions), dry-run and sandbox environments for safe experimentation.
Our tech stack:
We have a modern, cohesive stack that lets us move fast while maintaining quality:
Language: TypeScript
Frontend: React, Tailwind CSS, tRPC
Backend: tRPC, Node.js, MongoDB, Temporal
Infrastructure: GCP, Terraform Cloud, Kubernetes, Docker, Github Actions
What Your Journey Could Look Like
First 30 Days
Build meaningful relationships with your direct reports and understand their career aspirations
Get hands-on with our CI/CD pipelines, infrastructure, and deployment processes - identify the biggest friction points
Understand how AI agents are already being used in our engineering workflows (Cursor, Claude Code, automated PRs) and where the gaps are
Join the engineering leadership team and understand how we translate product vision into technical reality
Meet with our CISO and understand Ledgy's current security posture, compliance requirements, and where the biggest gaps are
First 3 Months
Own and drive improvements to pipeline reliability and speed - set measurable SLOs for build times, deployment frequency, and failure rates
Define and begin executing a roadmap for making our platform agent-ready: what needs to change so that AI agents can contribute code safely and at scale?
Have regular 1:1s with your reports and support them in their growth
Shape platform strategy alongside the Head of Engineering and CTO
Partner with the CISO to define a security roadmap that accounts for AI-specific risks - agent access controls, code provenance, data exposure through AI tooling - and begin executing on the highest-priority items
6–12 Months
Be recognised as the technical leader who defines how Ledgy's platform scales - for both humans and agents
Have delivered measurable improvements to developer experience, deployment velocity, and infrastructure reliability
Lead meaningful career development conversations and conduct performance reviews
Own engineering initiatives that influence how the entire organisation ships software
Be a trusted partner to product and engineering leadership on technical direction
The Interview Process
- Getting to know you (30 min): meet with someone from our people team to talk about your experience and to answer questions about the role
- Live Coding (60 min): A problem-solving session using your preferred language and IDE
- System Design (60 min): Walk us through an architecture you've significantly contributed to — we'll explore CI/CD, infrastructure, and scaling aspects based on your experience
- Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
- Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about building platforms that scale
- Offer 🎉
Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
We make space for your own professional development, with a generous yearly learning & development budget.
This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
For candidates based in London or Zurich we use a hybrid work model of 2 days in the office per week.
Key Skills
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