Staff Platform Engineer
Ebury is hiring a Staff Platform Engineer in Madrid, Spain. Level rates it ; you can apply on Level.
AI in this role
Build internal platforms and evolve internal tooling toward an AI-assisted SDLC.
Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.
If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.
Platform Engineer
Madrid Office - Hybrid: 4 days in the office, 1 day working from home
Senior Platform Engineer (Go / Python / TypeScript)
About the role
The Platform team builds the infrastructure, backend systems and tooling that every engineering team at Ebury builds and ships on.
Because software delivered at this level powers systems across the organization, what you build will be used by engineers in Ebury across all our products..
You'll write production code, own infrastructure, and design the abstractions other engineers use every day.
What you'll work on
- Building and running the platform on AWS
- Maintaining and extending our Terraform and tooling module library across AWS and GCP
- Improving the deploy path: ArgoCD, GitHub Actions developers use to deploy, restart and inspect their services
- Writing services, controllers and tooling in Go and Python, and TypeScript where developer-facing tools need it
- Improving observability (Datadog), reliability, security and cost
- Debugging production issues that span application code, Kubernetes, networking and cloud services
- Evolve the Platform to an AI Assisted SDLC Platform internally and externally for our product engineers using frontier labs and OSS models.
- Reviewing code, contributing to architecture decisions, and helping set platform standards
What you'll need
- 7+ years of software, backend, platform or infrastructure engineering experience
- Strong production experience with Go, Python or JavaScript/TypeScript, and willingness to work across languages
- Strong hands-on experience running production workloads on AWS and/or GCP
- Terraform or similar Infrastructure as Code
- Containers and Kubernetes in production, at scale.
- Strong understanding of distributed systems, APIs, networking, concurrency, data consistency and failure modes
- A track record of building platforms, libraries or core systems that other engineers build on
- Ability to diagnose complex production issues across applications, infrastructure and cloud services
- Strong code-review and system-design skills
- Excellent written and verbal communication in English
Nice to have
- Experience building LLM platforms for AI assisted SDLC
- Multi-account or multi-region AWS setups, workload identity, policy enforcement
- Kubernetes cluster lifecycle management, ArgoCD or other GitOps tooling
- Kafka or other event-driven systems; PostgreSQL, Redis
- Datadog or OpenTelemetry or other distributed tracing systems experience.
- Building CLIs, SDKs or internal developer platforms
- High-volume transactional systems, or fintech/payments experience
- Open-source contributions
About us
Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.
Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team.
At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.
The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.
We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.
Important Security Notice for Job Applicants:
Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity.
Notice to Recruitment Agencies and Search Firms:
Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires.
AI Transparency Statement:
Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.
How we rate this
Staff Platform Engineer at Ebury rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where platform engineering was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- What's a project where you used Go hands-on?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Platform Engineering, Infrastructure, Distributed Systems, Go, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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