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# Staff Software Engineer

- **Company:** Equinix
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Continuous Integration, Distributed Systems, Github, Protocol Buffers, Python (Programming Language), MongoDB, Prometheus, Service Development Studio, Software Engineering, TypeScript, Datadog, Computer Network Operations, ReactJS, Indexer, Backend, Fastapi, Build Management, Kubernetes, Infrastructure Automation Frameworks, Real Time Data, Apache Kafka, Front End Software Development, Restful APIs, Open Network Automation Platform, Grpc, Docker, Jenkins, Golang
- **Published:** July 1, 2026
- **Apply:** https://es.trabajo.org/oferta-3206-f22c05c208559fe62d0879817344a8f4

## About the Role

Experteer Overview In this role you will design, build, and operate a distributed automation platform that scales network operations. You collaborate across backend, frontend, and DevTest areas to deliver end-to-end automation features and reliable systems. You will contribute to test frameworks, CI/CD workflows, and observability to ensure high performance and reliability. The role blends software engineering, distributed systems, and automated testing in a fast-paced environment with AI-assisted development tooling.Compensaciones / Beneficios - Design and build durable distributed systems with workflow orchestration and concurrency patterns - Develop async REST APIs, service layers, background workers, and workflow logic - Build and maintain Go services, including gRPC servers and cross-language integrations - Model and query data in MongoDB with schemas and aggregations - Enhance automated test frameworks and convert tests into automated modules - Develop modern React/TypeScript
frontends with real-time data flows - Deploy and operate services on Kubernetes with best practices and health checks - Contribute to CI/CD pipelines (GitHub Actions, Jenkins) - Build unit and integration tests and validate REST APIs and network automation scenarios - Leverage AI-assisted development tools to boost productivity and integrate AI into the SDLCResponsabilidades - Proven professional software engineering experience - Strong Python proficiency with async/await (FastAPI or similar) - Experience with network automation tools (Netmiko, TextFSM, Nornir) - Production TypeScript/React experience - Go language experience for service development - Distributed systems experience (workflows, queues, saga patterns) - CI/CD pipeline development (GitHub Actions or Jenkins) - MongoDB expertise (schema design, async drivers, indexing) - Kubernetes and Docker proficiency - Familiarity with gRPC and Protocol Buffers - Kafka knowledge (producers/consumers) - Observability tooling
experience (OpenTelemetry, Prometheus) - Experience with AI-assisted development tools (optional but stated)Requisitos principales -



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