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Engineering Manager: Agent & Developer Platform
Отличная вакансия в перспективном финтехе с современным стеком, фокусом на ИИ и прозрачной культурой. Предлагает опционы, бюджет на обучение и гибкий график.
Сложность вакансии
Высокая сложность обусловлена необходимостью совмещать глубокие технические знания (DevOps, GCP, Terraform) с управленческим опытом и инновационным видением интеграции ИИ-агентов в процессы разработки.
Анализ зарплаты
Предлагаемая роль Engineering Manager в Лондоне/Цюрихе обычно предполагает высокую оплату. Учитывая стадию Series B и фокус на ИИ, зарплата должна быть на уровне или выше рыночных медиан для этих регионов.
Сопроводительное письмо
I am writing to express my strong interest in the Engineering Manager position for the Agent & Developer Platform at Ledgy. With over 9 years of experience in software engineering and management, specifically within DevOps and infrastructure, I am excited by your vision of a platform where AI agents are first-class citizens. My background in scaling GCP-based infrastructure using Terraform and Kubernetes, combined with a security-first mindset, aligns perfectly with Ledgy's mission to become Europe's leading equity management platform.
In my previous roles, I have successfully led engineering teams through periods of rapid growth, focusing on optimizing CI/CD pipelines and enhancing developer experience. I am particularly drawn to Ledgy's forward-thinking approach to integrating AI into the development lifecycle and the opportunity to partner with the CISO to evolve security models for this new era. I am eager to bring my technical expertise and passion for people development to help Ledgy scale its platform and engineering culture.
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Описание вакансии
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
- 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 🎉
Being part of Ledgy means:
- 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.
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Навыки
- TypeScript
- Terraform
- GCP
- Kubernetes
- GitHub Actions
- React
- Docker
- Temporal
- Node.js
- Tailwind CSS
- MongoDB
- tRPC
Возможные вопросы на собеседовании
Проверка технического видения кандидата относительно будущего DevOps и роли ИИ.
Как, по вашему мнению, должна измениться архитектура CI/CD пайплайнов, чтобы эффективно поддерживать работу как людей, так и автономных ИИ-агентов?
Оценка опыта в обеспечении безопасности, что критично для финтех-платформы.
Какие специфические риски безопасности возникают при предоставлении ИИ-агентам доступа к инфраструктуре и как бы вы их минимизировали?
Проверка навыков управления и развития команды.
Опишите ваш подход к проведению 1:1 встреч с инженерами разного уровня: как вы помогаете им расти и справляться с выгоранием?
Оценка практического опыта работы с облачной инфраструктурой.
Расскажите о самом сложном инциденте в вашей практике управления инфраструктурой на базе Kubernetes/GCP. Как вы его локализовали и какие выводы сделали?
Проверка умения балансировать между управлением и написанием кода.
Как вы распределяете свое время между стратегическим планированием, управлением командой и непосредственным написанием кода (hands-on)?
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