Senior Platform Engineer

Ebury
Madrid, Spain
Hybrid

Who this role is best for

Geared toward experienced engineers comfortable with building and maintaining infrastructure across cloud platforms, with a focus on collaboration and system design.

Best fit for

  • Candidates with 7+ years of backend or infrastructure engineering experience and a history of building reusable systems
    — “A track record of building platforms, libraries or core systems that other engineers build on”
  • Engineers with strong cross-platform cloud experience, especially AWS and GCP
    — “Strong hands-on experience running production workloads on AWS and/or GCP”

Things to consider

  • Hybrid work requires at least 4 days in the Madrid office weekly
    — “Madrid Office - Hybrid: 4 days in the office, 1 day working from home”
  • The role demands fluency in multiple programming languages and a strong code review mindset
    — “Strong production experience with Go, Python or JavaScript/TypeScript, and willingness to work across languages”

How to stand out

  • Highlight experience with Terraform and Infrastructure as Code in your resume and interviews
    — “Terraform or similar Infrastructure as Code”
  • Demonstrate your ability to debug and improve end-to-end production systems
    — “Debugging production issues that span application code, Kubernetes, networking and cloud services”
  • Showcase your contributions to system design and architecture decisions
    — “Reviewing code, contributing to architecture decisions, and helping set platform standards”
  • Emphasize your work with observability tools like Datadog or OpenTelemetry
    — “Datadog or OpenTelemetry or other distributed tracing systems experience.”
  • Demonstrate your ability to evolve platforms using AI-assisted tools
    — “Evolve the Platform to an AI Assisted SDLC Platform internally and externally for our product engineers”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Built and ran platform on AWS
  • Improved deploy path with ArgoCD
  • Evolved platform to AI-assisted SDLC
Typical background
7+ years of software/backend/platform engineering experienceStrong production experience with Go, Python, or TypeScript

Skills & requirements

Required

GoPythonTypeScriptAWSGCPTerraformKubernetesDistributed SystemsApisNetworkingConcurrencyData ConsistencyFailure ModesCode ReviewSystem Design

Preferred

LLM PlatformsMulti-account AWSWorkload IdentityPolicy EnforcementKafkaPostgreSQLRedisDatadogOpentelemetryClisSdksInternal Developer PlatformsHigh-volume Transactional SystemsFintechOpen-source Contributions

Stack & domain

GoPythonTypeScriptTerraformKubernetesAWSGCPArgocdGithub ActionsDatadogOpentelemetryLLM PlatformsMulti-account SetupsWorkload IdentityPolicy EnforcementKafkaPostgreSQLRedisClisSdksInternal Developer PlatformsHigh-volume Transactional SystemsFintechPaymentsCollaborationProblem-solvingCode-reviewSystem-designCommunicationFinance

About the role

Original posting from Ebury via Greenhouse

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. 

Source: Ebury careers (Greenhouse)

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