Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

At GetYourGuide, engineers work on problems that matter: building the systems that connect millions of travelers with experiences they'll remember for a lifetime. Our teams learn fast, take ownership, iterate, and build at real scale. AI is already reshaping how we build products and what travel can be. For the right engineer, this is an opportunity to do the most exciting work of their early career.

Your mission

• With support and mentorship, you’ll write clean code that ships to millions of travelers
• Work closely with senior and staff engineers to design and build reliable, scalable systems, bringing your own ideas to the table, not just executing tasks
• Take end-to-end ownership of features: from understanding the problem and designing the solution, to shipping, monitoring, and iterating
• Use AI tooling actively and intelligently as part of your daily workflow
• Help build AI-powered product experiences that change how travelers discover, book, and enjoy the world
• Participate in code reviews, improve our codebase, and help raise the quality bar across your team
• Engage with product and design partners to deeply understand the traveler problem you're solving, not just the ticket in front of you

Your toolkit

You're a fresh graduate, looking for your first full-time job and you've already shipped things like: side projects, open source contributions, coursework, internships, freelance work, or hackathon builds. You know what it feels like to take something from an idea to a working product. You're genuinely excited about what AI makes possible.

We know everyone's journey is different. Excited about the role and tick some of these boxes? We'd love to hear from you:

• Ownership-driven: You treat your work as your own. You don't wait to be told something is broken or could be better; you help to improve it, communicating early, asking for feedback, and collaborating with others to create a better state.
• Deeply curious: You dig into problems until you actually understand them. You learn fast and apply what you learn even faster
• Bias for action: You ship, gather feedback, and iterate. 
• Collaborative by nature: You know when to push ahead independently and when to pull in others. You ask questions early. You support your teammates through thoughtful feedback and clear communication
• You have hands-on experience with AI tools. You've built real things - projects using Claude or OpenAI APIs, apps built with tools like Lovable, or experiments that turned into something tangible
• Solid foundation in computer science fundamentals: data structures, algorithms, basic system and API design concepts
• Familiar with building and shipping software, professionally or through your own projects
• Comfortable working across the stack either in backend or frontend systems

Extras that give you an edge

• An interest in contributing across the full stack (backend and frontend), with a willingness to learn our core technologies. This includes JVM languages (Kotlin, Java, Scala) for the backend and frontend essentials like React.js, Next.js, TypeScript, and CSS/styling frameworks.
• Familiarity with cloud infrastructure concepts and distributed systems concepts like Kubernetes, AWS/GCP, microservices and event-driven architecture
• Open source contributions or a visible portfolio: a GitHub profile, a live project, something we can look at

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time. 
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills, regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

#LI-Hybrid

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Pinterest operates at a massive scale, serving 500+ million users globally with billions of requests daily. Our Cloud Platform team owns the foundational infrastructure technology that powers Pinterest's entire ecosystem. We're building PinCompute, our next-generation Kubernetes-based platform that will eventually run all of Pinterest's workloads and services. This platform represents a multi-year transformation of how we build, deploy, and operate services at Pinterest scale.

We're looking for an exceptional Staff Software Engineer to lead the technical strategy and execution of our cloud infrastructure initiatives. You'll shape how Pinterest engineers build and deploy services, driving innovation in areas like container orchestration, service mesh, developer experience, and cloud-native architectures at Internet scale.

What you'll do

• Define and drive the multi-year technical strategy for Pinterest's Cloud Infrastructure platform, focusing on our Kubernetes-based PinCompute platform that hosts thousands of services and petabytes of data.
• Lead the design and implementation of complex, cross-team infrastructure initiatives including service mesh adoption, multi-region architectures, and developer platform capabilities
• Partner with teams across Pinterest to modernize our infrastructure stack, improving developer velocity while reducing operational complexity and costs
• Architect solutions for critical infrastructure challenges including auto-scaling, resource optimization, traffic management, and service reliability at Pinterest scale
• Drive adoption of cloud-native patterns and technologies across the engineering organization, establishing best practices and reference architectures
• Provide technical leadership during critical incidents and architect solutions to prevent recurrence
• Influence the broader Kubernetes and cloud-native community through open source contributions and conference presentations
• Mentor senior engineers and technical leads across multiple teams, developing the next generation of infrastructure leaders
• Thoughtfully leverage AI tools to speed up design, coding, debugging, and documentation, while applying your own critical thinking to validate outputs and explain how you used AI in your workflow.
• Shape our AI-assisted engineering practices by sharing patterns, guardrails, and learnings with the team so we can safely increase our impact without compromising code quality, reliability, or candidate expectations.

What we're looking for

• 7+ years of experience building and operating large-scale production infrastructure.
• Expertise with multi-tenant cluster orchestration systems such as Kubernetes, container orchestration, and cloud-native architectures is beneficial.
• Proven track record of leading multi-year infrastructure transformations at internet-scale companies (billions of requests/day, thousands of services).
• Background in service mesh technologies and traffic management at scale.
• Expertise in infrastructure-as-code, GitOps, and modern CI/CD practices.
• Experience building developer platforms and tools that improve engineering productivity across hundreds of engineers.
• Proficiency in C++, Go, or Java, with ability to contribute to infrastructure codebases.
• Track record of driving cross-organizational technical initiatives with measurable business impact
• Experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available.
• Bachelor's/Master's degree in Computer Science or equivalent experience.

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times per week and therefore needs to be in a commutable distance from one of the following offices: Zurich.

#LI-HYBRID 

#LI-JD1

About the Role

As a hands-on Engineering Manager of one of our feature teams at Ledgy, you'll lead the engineers who build the features that help companies offer, manage, and communicate compensation and savings vehicles: from equity plans to pensions, carry, and beyond. Your team works on the products employees and companies use to make sense of complex compensation structures.

This is a good fit if you find it meaningful to work on features that are financially significant to the people using them, as getting compensation right matters. The work is domain-rich: these structures are complex, high-stakes, and varied. You'll report to the Head of Engineering and play a key role in expanding Ledgy's product coverage as companies increasingly look to offer diverse forms of compensation.

You'll Thrive in This Role If You

• Have 2+ years in Engineering Management and 6+ years as a Software Engineer, with meaningful time in product-focused or domain-heavy roles
• Are energised by features that have a direct, visible impact on end users — the things employees actually see and interact with
• Care deeply about correctness in domains where getting things wrong has real financial consequences
• Are comfortable with evolving scope — compensation takes many forms, and the product will grow to reflect that
• Actively use AI tools to multiply your output and are excited to help your team do the same — you see AI as a core part of how great engineering gets done today
• Love developing people and creating an environment where engineers can do their best work
• Want to stay hands-on — you're comfortable diving into the codebase, reviewing PRs with concrete feedback, and shipping yourself

What You'll Own

• Team Leadership: Setting technical direction for the team, running 1:1s and performance conversations, and supporting engineers in their growth.
• AI-Augmented Engineering: Modelling and promoting effective use of AI tools across your team — from coding assistants to automated workflows. You'll help engineers develop good instincts for where AI accelerates work and where human judgment matters most.
• Compensation & Savings Features: The product surface covering a range of compensation and savings vehicles — equity plans, pensions, carry, and more. Your team builds the logic and UX that makes these products usable for both companies and their employees.
• Employee-Facing Experience: Ensuring the features your team builds are not just correct, but clear and accessible to employees navigating complex compensation structures.
• Domain Breadth: As Ledgy expands into new compensation types, your team will be at the frontier, building the models and product experiences that bring them to life.

Our tech stack:

• Language: TypeScript
• Frontend: React, Tailwind CSS, tRPC
• Backend: tRPC, Node.js, MongoDB, Temporal
• Infrastructure: Docker, GitHub Actions, GCP, Terraform Cloud, Kubernetes

What Your Journey Could Look Like

First 30 Days

• Build relationships with your direct reports and develop a solid understanding of the compensation domain, including what we support today and where we're headed
• Get hands-on with the codebase — review PRs and understand how the product models compensation and plan logic
• Meet PD leadership: CTO, Head of Engineering, Head of Product, and the other EMs
• Understand how your team's domain intersects with the rest of the platform

First 3 Months

• Own the team's delivery rhythm: roadmap reviews, sprint health, and unblocking engineers
• Identify and begin addressing the most complex or fragile areas of the domain
• Establish regular 1:1s and begin meaningful coaching conversations with your reports
• Partner with PM and Design on the roadmap for expanding compensation coverage

6–12 Months

• Be recognised as the technical leader for compensation and savings features at Ledgy
• Deliver measurable improvements to product quality, coverage, or the employee experience
• Lead performance reviews and meaningful career development conversations
• Be a trusted partner to product and engineering leadership on compensation strategy

The Interview Process

1. 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
2. Live Coding (60 min): A problem-solving session (without AI) using your preferred language and IDE
3. System Design (60 min): Walk us through an architecture you've significantly contributed to — we'll explore domain modelling and product complexity based on your experience
4. Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
5. Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about making compensation and savings products work for everyone
6. 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.

About the Role

As a hands-on Engineering Manager of one of our feature teams at Ledgy, you'll lead the engineers who build the features that help companies offer, manage, and communicate compensation and savings vehicles: from equity plans to pensions, carry, and beyond. Your team works on the products employees and companies use to make sense of complex compensation structures.

This is a good fit if you find it meaningful to work on features that are financially significant to the people using them, as getting compensation right matters. The work is domain-rich: these structures are complex, high-stakes, and varied. You'll report to the Head of Engineering and play a key role in expanding Ledgy's product coverage as companies increasingly look to offer diverse forms of compensation.

You'll Thrive in This Role If You

• Have 2+ years in Engineering Management and 6+ years as a Software Engineer, with meaningful time in product-focused or domain-heavy roles
• Are energised by features that have a direct, visible impact on end users — the things employees actually see and interact with
• Care deeply about correctness in domains where getting things wrong has real financial consequences
• Are comfortable with evolving scope — compensation takes many forms, and the product will grow to reflect that
• Actively use AI tools to multiply your output and are excited to help your team do the same — you see AI as a core part of how great engineering gets done today
• Love developing people and creating an environment where engineers can do their best work
• Want to stay hands-on — you're comfortable diving into the codebase, reviewing PRs with concrete feedback, and shipping yourself

What You'll Own

• Team Leadership: Setting technical direction for the team, running 1:1s and performance conversations, and supporting engineers in their growth.
• AI-Augmented Engineering: Modelling and promoting effective use of AI tools across your team — from coding assistants to automated workflows. You'll help engineers develop good instincts for where AI accelerates work and where human judgment matters most.
• Compensation & Savings Features: The product surface covering a range of compensation and savings vehicles — equity plans, pensions, carry, and more. Your team builds the logic and UX that makes these products usable for both companies and their employees.
• Employee-Facing Experience: Ensuring the features your team builds are not just correct, but clear and accessible to employees navigating complex compensation structures.
• Domain Breadth: As Ledgy expands into new compensation types, your team will be at the frontier, building the models and product experiences that bring them to life.

Our tech stack:

• Language: TypeScript
• Frontend: React, Tailwind CSS, tRPC
• Backend: tRPC, Node.js, MongoDB, Temporal
• Infrastructure: Docker, GitHub Actions, GCP, Terraform Cloud, Kubernetes

What Your Journey Could Look Like

First 30 Days

• Build relationships with your direct reports and develop a solid understanding of the compensation domain, including what we support today and where we're headed
• Get hands-on with the codebase — review PRs and understand how the product models compensation and plan logic
• Meet PD leadership: CTO, Head of Engineering, Head of Product, and the other EMs
• Understand how your team's domain intersects with the rest of the platform

First 3 Months

• Own the team's delivery rhythm: roadmap reviews, sprint health, and unblocking engineers
• Identify and begin addressing the most complex or fragile areas of the domain
• Establish regular 1:1s and begin meaningful coaching conversations with your reports
• Partner with PM and Design on the roadmap for expanding compensation coverage

6–12 Months

• Be recognised as the technical leader for compensation and savings features at Ledgy
• Deliver measurable improvements to product quality, coverage, or the employee experience
• Lead performance reviews and meaningful career development conversations
• Be a trusted partner to product and engineering leadership on compensation strategy

The Interview Process

1. 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
2. Live Coding (60 min): A problem-solving session (without AI) using your preferred language and IDE
3. System Design (60 min): Walk us through an architecture you've significantly contributed to — we'll explore domain modelling and product complexity based on your experience
4. Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
5. Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about making compensation and savings products work for everyone
6. 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.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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

1. 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
2. Live Coding (60 min): A problem-solving session using your preferred language and IDE
3. 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
4. Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
5. Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about building platforms that scale
6. 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.

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

1. 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
2. Live Coding (60 min): A problem-solving session using your preferred language and IDE
3. 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
4. Mock 1:1 (45 min): A mock coaching conversation with one of our engineers to see how you approach people management and development
5. Culture & Vision (30 min): Meet one of our founders to discuss Ledgy's mission and how you think about building platforms that scale
6. 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.