> Markdown version of [/jobs/ext/3729741-platform-engineer-go-python-typescript](https://www.wearedevelopers.com/jobs/ext/3729741-platform-engineer-go-python-typescript). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer (Go / Python / TypeScript) - **Company:** Ebury - **Location:** Spain - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Debugging, Distributed Systems, Github, Python (Programming Language), PostgreSQL, Systems Development Life Cycle, Redis, Cloud Services, TypeScript, Datadog, Large Language Models, Concurrency, Backend, Event Driven Architecture, Kubernetes, Apache Kafka, Free and Open-Source Software, Terraform, Dynatrace, Golang - **Published:** October 14, 2026 - **Apply:** https://startup.jobs/staff-platform-engineer-ebury-10439664 ## About the Role * 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 ## Description 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, 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.