11 publicaciones de empleo destacadas de full stack developer en san fernando de henares, md (¡Están contratando!)

Platform Engineer
Ericsson —Madrid, Madrid provincia
- Máster
- Scripting
- APIs
DevOps Engineer (f/m/d)
Awin —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Informática
- DevOps
- Seguro oftalmológico
Technical Product Manager - Data Platform
Prima —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Python
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
MLOps Engineer - Agentic Platform
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
.NET/Python Software Developer | Energy Sector
Etinars —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Inglés
- Máster
Solicitud rápida
Senior Product Software Engineer
Wolters Kluwer —Salamanca-Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- SQL
2d
Principal Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Madrid, Madrid provincia
- Español
- Azure
- Inglés
Senior Site Reliability Engineer - Logging & Monitoring, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- Jornada completa
- Azure
- Inglés
- Java
Azure Cloud & Dev Architect
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- DevOps
- Bases de datos
2d
Web Manager, Growth
Deliverect —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Marketing
- Inglés
- JavaScript
Solicitud rápida
Expert Manager, Coro RevTech Systems Delivery
Bain & Co. —Madrid, Madrid provincia
- Jornada completa
- CRM software
- Ventas
- Salesforce
- Seguro dental
- Vacaciones pagadas
Solicitud rápida

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Platform Engineer

Ericsson -
Madrid, Madrid provincia

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Detalles del empleo

Cualificaciones

Jira
CI/CD
Derecho
React
Estructura de datos
Git
Herramienta de automatización
Máster
Programación orientada a objetos
Respuesta a incidencias
Docker
Terraform
Scripting
UX
APIs
Cloud
UI
ARM
Inteligencia artificial
GitLab
Python
SDLC

Descripción completa del empleo

About this opportunity

We’re building an AI-native Internal Developer Platform (IDP) and are hiring multiple Platform Engineers with complementary strengths (CI/CD, Developer Portal & Golden Paths, Observability/SRE, DevSecOps, AI Tooling). You don’t need to cover everything, we’re intentionally building a team with different profiles so that, together, we can evolve the full stack of the platform.

Key Responsibilities

Build and evolve a highly usable, AI-native Internal Developer Platform (IDP) that delivers an exceptional Developer Experience (DX), reduces cognitive load for product teams, and enables fast, reliable delivery.
Own the platform “as a product”: contribute to roadmap, prioritize improvements based on developer feedback and telemetry, and drive adoption through great UX and clear value.
Collaborate empathetically with developers: obsessively understand pain points and workflows and turn insights into platform features that continuously improve the DX.
Optimize and scale GitLab-based CI/CD services to support fast, reliable, and compliant software delivery (runners, templates, pipelines at scale, policy enforcement).
Lifecycle management (LCM) of the IDP and its components: versioning, upgrades, deprecation strategies, backwards compatibility, reliability, and operational readiness.
Design and own the IDP observability, ensuring developers have clear insights, actionable data, and self-service troubleshooting capabilities (dashboards, alerts, traces, runbooks).
Drive cloud-native and GitOps practices using Kubernetes, Helm, Terraform, focusing on repeatability, safety, and developer self-service.
Implement secure-by-default workflows, including vulnerability management, pipeline security, supply-chain integrity, and S&I-aligned guardrails that keep teams compliant without slowing them down.
Develop and enhance of the IDP Portal (Backstage-based), providing intuitive interfaces, golden paths, documentation surfaces, and self-service capabilities that improve onboarding and day-to-day flow.
Incorporate AI-native engineering patterns into the platform, enabling LLM-assisted development, agentic workflows, and next-generation productivity tooling with pragmatic governance.
Integrate Ericsson application, cloud and infrastructure services into a Platform Engineering ecosystem.

Core Tasks

Actively attend feedback from developers and observe the IDP through telemetry to identify DX improvement opportunities.
Develop and operate automation, tooling, and backend services that enhance DX, platform reliability, observability, and security.
Build automation workflows using GitLab CI/CD, including reusable templates and paved-road patterns.
Build production-grade observability: dashboards, alerts, traces, health checks, SLIs/SLOs, and operational playbooks using Prometheus/Grafana (and/or OpenTelemetry patterns where applicable).
Implement secure development workflows: dependency scanning, policy checks, artifact integrity, SBOM-style practices, SCA/SAST integrations, and guardrails embedded into pipelines.
Work closely with PDUs and Security & Compliance actors to align the IDP with compliance, security, resilience, and productivity needs — balancing enablement with governance.
Operate and evolve Kubernetes workloads and platform services: cluster configuration, networking, scaling, resilience testing, capacity planning, and cost-awareness.
Extend and maintain the Backstage-based IDP Portal: build plugins, components, APIs, and developer-friendly UI features; improve discoverability and reduce “time-to-first success.”
Enable AI-native developer workflows: prompt engineering patterns, LLM evaluation/quality signals, safe-by-default usage, agentic processes, and automation powered by LLMs.
Troubleshoot complex issues across CI/CD, cloud infrastructure, integrations, security tooling, and platform UX; contribute to incident response and post-incident learning.
Contribute to IDP architecture and technical direction: reference architectures, golden paths standards, API contracts, documentation quality, and long-term maintainability.

Required Skills

Technical Skills in priority order:

Strong Python and scripting skills (OOP, data structures, automation/tooling, API integrations, testability).
Expert knowledge of Git and GitLab CI/CD, including runners, templates, security features, pipeline scaling, and the design of multi-step automation workflows using GitLab environments.
Strong observability skills using Prometheus and Grafana (and an understanding of logs/metrics/traces and alert quality).
Secure software engineering mindset: vulnerability management, dependency scanning, compliance automation, and guardrails that scale.
Solid Kubernetes experience: deployments, networking, scaling, troubleshooting, and production operations.
Proficiency with Docker and containerization workflows, including image hygiene and supply-chain considerations.
Familiarity with Backstage (or React/JS frameworks) and modern developer portal concepts (self-service, catalog, templates, docs-as-code).
Previous experience as software developer, with exposure to all stages of the SDLC
Experience or strong interest in AI-native development models, including agentic programming, LLM-assisted workflows, and practical automation.
Hands-on exposure to prompt engineering and LLM evaluation (quality signals, regression testing for prompts, workflow safety, cost/performance tradeoffs).
Familiarity with enterprise tooling (JIRA, ARM…) is a plus.
Familiarity with Ericsson tooling (Mimer, NOVA…) is a plus.

Soft Skills & Behaviors

Deep empathy for developers and a passion for enabling a frictionless, intuitive Developer Experience.
Customer-driven mindset: able to translate pain points into actionable platform improvements and iterate quickly.
Strong collaboration across teams, programs and organizations; communicates clearly with both engineers and stakeholders.
Security-first and observability-first mindset: you build systems that are measurable, supportable, and safe-by-default.
Curious about the future of AI and motivated to explore innovative ways to improve software flow responsibly.
Proactive and accountable, comfortable making engineering decisions in ambiguous environments and learning fast.
Passionate about automation and simplification; you reduce toil and build paved roads, not bespoke one-offs.

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