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# Staff Backend Engineer – Platform (f/m/d)

AI Summary Apaleo is hiring a Staff Backend Engineer to strengthen its platform, infrastructure, developer experience, and security foundations. The role involves independently leading large, ambiguous technical initiatives, including database write scaling, CI/CD modernization, and infrastructure-as-code migration to Terraform. The engineer will design cloud-native distributed systems, improve observability and reliability, mentor peers, and participate in on-call incident response. This is a high-autonomy individual-contributor role for an experienced technical leader with strong AWS, containerization, and infrastructure expertise. Remote work is available within Germany and elsewhere in Europe through an Employer of Record.[Apply for this job](#job-application)[View company](https://jobicy.com/company/apaleo.md)ShareRemote from[Europe](https://jobicy.com/job-region/europe.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished12 Nov 2026Apply before12 Dec 2026Listing views45Application actions3Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

Opportunity details

## About this role.

### Staff Backend Engineer – Platform

Join [Apaleo](https://jobicy.com/company/apaleo.md) and shape the future of hospitality tech

Apaleo is the world’s most open, API-first property management platform powering the next generation of hospitality operations. Its modular, AI-powered infrastructure lets hoteliers customise their tech stack, automate routine work and deliver seamless, personalised guest experiences, powered by best-in-class apps and autonomous AI agents that adapt to every stay.

If you’re driven by the idea of making hospitality smarter, more human and powered by cutting-edge technology, we’d love to hear from you.

About the role

You’ll join our Platform team as an individual contributor working closely with our Principal Engineer, who leads Platform’s technical direction. Platform owns infrastructure, developer experience and security foundations for the whole engineering org, so this is a high-ownership seat: you’ll take on large, ambiguous, cross-cutting initiatives and drive them from first analysis through to completion, with real autonomy over how you get there.

We don’t run a groomed backlog or sprint planning. We assign a big topic to someone who owns it end to end. If you thrive with structure handed to you, this isn’t the role; if you love spotting the problem worth solving and driving it yourself, you’ll fit right in.

What you’ll be up to

* Architecting and developing scalable, reliable and maintainable backend systems.

* Self-identifying and scoping problems and initiatives, not just executing assigned tickets: assessing impact, prioritisation and timing independently.

* Leading architectural decisions and design discussions with cross-team alignment.

* Driving large, ambiguous, cross-cutting initiatives end to end, including coordination with multiple stakeholders.

* Mentoring engineers and driving technical excellence.

* Building and maintaining internal tools and infrastructure (AWS, Terraform) that empower teams to deliver faster and more reliably.

* Owning observability, logging and operational excellence to keep the platform highly available.

* Participating in on-call rotations and stepping in as a reliable problem solver during incidents.

* Proactively spotting where AI and automation can drive technical improvement.

Some of the challenges waiting for you

* Solving horizontal write-scaling for our database (we already scale reads horizontally).

* Modernising our CI/CD pipeline for faster, more reliable delivery.

* Migrating our infrastructure-as-code fully from CloudFormation to Terraform, including the ability to recreate an Apaleo environment from scratch.

* Extracting and reworking common services (like shared schedulers) to get us ready for our next scale level.

What you’ll bring to the team

* 8+ years of backend development experience, including several years in a staff-level or technical leadership role.

* Strong engineering fundamentals that transfer across languages and cloud platforms: we care more about how you think than which stack you’ve used.

* A track record of owning large technical initiatives from ambiguity through to completion, ideally on a platform or infrastructure team rather than a pure product team.

* Experience designing and scaling distributed systems in cloud-native environments (AWS preferred; strong Azure fundamentals with genuine enthusiasm for the switch work just as well).

* Comfortable working with containerised services and infrastructure-as-code (Docker, Terraform; CloudFormation exposure is relevant given our current stack).

* Confidence writing your own unit and integration tests: we don’t have a dedicated QA function.

* Fluent English.

Nice to have

* Direct experience with C# (.NET), PostgreSQL, AWS and ECS/Kubernetes: a great fit, though not a hard requirement if your fundamentals are strong.

* Experience setting up infrastructure-as-code from scratch and working with it day to day, ideally with Terraform, including migrating or consolidating from other IaC approaches (like CloudFormation).

* Experience with Kafka or other event-driven and streaming systems (Azure Service Bus experience is a good transferable equivalent).

* Hands-on use of AI-assisted development tools (GitHub Copilot, Cursor AI, ChatGPT, Amazon CodeWhisperer) and a genuine interest in AI-driven engineering improvement.

* Excellent collaboration and communication skills, particularly for introducing new technology, like AI tooling, to other teams.

What we offer

Culture and growth

* A diverse and international team: work alongside passionate professionals from over 20 nationalities.

* Growth and development: 360° feedback reviews, a dedicated learning budget and an evolving career framework.

* Autonomy and ownership: we empower you to take responsibility, make decisions and contribute directly in an environment built on trust and transparency.

* Shape the future of hospitality tech: your work drives real impact from day one, at a fast-growing scale-up.

* Competitive and fair compensation, guided by benchmarking data to ensure fairness across all roles and teams.

Perks and lifestyle

* Flexible and remote work options: office, home or hybrid, based on what works for your role and team.

* A fully covered Deutschland Ticket for free public transport across Germany.

* Regular team dinners, company meetups, Oktoberfest celebrations, Christmas parties and other offsite events.

* 30 days of paid holiday to fully disconnect, recharge and return inspired.

* An EGYM Wellpass membership giving access to hundreds of gyms, fitness studios and wellness options.

Where you’ll work from

This role is based in Munich, with hybrid working from our office there. We’re also open to remote within Germany, or remote via an Employer of Record for candidates based outside in the EU/ Europe.

We are proud to be an Equal Opportunity and Affirmative Action Employer, committed to fostering a diverse, inclusive and welcoming workplace. We encourage applications from people of all backgrounds, regardless of race, colour, religion, gender identity or expression, sex, national origin, age, marital status, disability or any other characteristic protected by applicable law. Your personal data will be handled with the utmost care and in compliance with GDPR and relevant data protection regulations. We celebrate differences and believe that diversity enriches our team and drives innovation.

Show more

[Apply now >](https://jobicy.com/jobs/161525-staff-backend-engineer-platform-f-m-d.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

*

![Upload CV](data:image/svg+xml;base64,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)

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## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a staff-level platform role with ownership of complex, cross-cutting infrastructure initiatives and production reliability. Success requires sound architectural judgment, independent prioritization, and the ability to influence multiple engineering teams.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive$180,000US market range (per year)$150k–$210k0$231.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary range was disclosed. The annual USD figures are estimated market compensation for a senior staff-level backend and platform engineering role, not employer-provided compensation.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Backend engineering](https://jobicy.com/jobs?search_keywords=Backend%20engineering.md)[Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[CloudFormation](https://jobicy.com/jobs?search_keywords=CloudFormation.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[PostgreSQL](https://jobicy.com/jobs?search_keywords=PostgreSQL.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Incident response](https://jobicy.com/jobs?search_keywords=Incident%20response.md)[Technical leadership](https://jobicy.com/jobs?search_keywords=Technical%20leadership.md)[System architecture](https://jobicy.com/jobs?search_keywords=System%20architecture.md)[C# .NET](https://jobicy.com/jobs?search_keywords=C%23%20.NET.md)

Sample interview questionsHow would you approach horizontal write scaling for a PostgreSQL-backed platform?I would begin by profiling write workloads, contention points, transaction patterns, and data-access boundaries. Depending on the findings, I would evaluate partitioning, workload isolation, asynchronous event-driven processing, batching, sharding only where justified, and changes to consistency requirements. I would define measurable reliability and latency goals, validate the approach with production-like load tests, and plan a staged migration with rollback options.

Describe how you would migrate infrastructure from CloudFormation to Terraform with minimal operational risk.

I would inventory existing resources and dependencies, define Terraform module boundaries, and import or recreate resources incrementally based on risk. State management, access controls, drift detection, peer review, and CI validation would be established before broad adoption. I would migrate noncritical environments first, compare plans against the existing estate, and only decommission CloudFormation after proving reproducibility and operational ownership.

How do you lead a large technical initiative when requirements are initially ambiguous?

I clarify the business and engineering outcomes, identify stakeholders and constraints, and turn uncertainty into a sequence of explicit decisions and experiments. I create a lightweight technical proposal with alternatives, risks, milestones, and success metrics, then communicate progress regularly. This preserves autonomy while ensuring cross-team alignment and timely escalation of unresolved trade-offs.

What practices would you use to improve platform observability and incident response?

I would standardize structured logging, metrics, tracing, dashboards, service-level indicators, and actionable alerts tied to user impact. For incident response, I would establish clear ownership, runbooks, escalation paths, and blameless post-incident reviews that produce prioritized follow-up work. The objective is faster detection and recovery as well as systematic prevention of recurring failures.

How would you introduce AI-assisted development tools to engineering teams responsibly?

I would start with targeted use cases such as test generation, code review assistance, documentation, and repetitive migration work. I would set clear security and data-handling rules, measure effects on delivery quality and developer productivity, and collect feedback through pilots. Adoption should be supported with practical guidance and remain subject to normal engineering review, testing, and ownership standards.

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