Platform Engineer Madrid,Comunidad de Madrid,Spain Product Development Posted 2 hours ago

Ericsson GmbH; Madrid; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Ericsson GmbH is seeking a Platform Engineer in Madrid to build an AI-native Internal Developer Platform (IDP) and evolve its developer experience. You will own platform features end‑to‑end, from CI/CD automation to observability, security, and governance, while collaborating with product teams to drive adoption and reliability.

You will help scale Kubernetes-based services, design golden paths, and contribute to a Backstage-based portal with self-service capabilities for developers.

Formación

• Strong Python and scripting skills (OOP, automation).
• Expert knowledge of GitLab CI/CD, runners, templates and security features.
• Solid Kubernetes experience in deployments, networking and production ops.
• Experience with containerization, Docker image hygiene and supply‑chain considerations.
• Familiarity with Backstage or modern developer portals and self-service concepts.

Responsabilidades

• Build and evolve an AI-native Internal Developer Platform to improve developer experience.
• Own the platform as a product: roadmaps, telemetry-driven improvements, adoption through UX.
• Collaborate with developers to reduce cognitive load and speed up delivery.
• Scale GitLab CI/CD services (runners, templates, pipelines) and enforce secure-by-default workflows.
• Develop and operate observability: dashboards, alerts, traces, and health checks.
• Drive cloud-native practices with Kubernetes, Helm, and Terraform.
• Extend Backstage-based IDP Portal with plugins and docs-as-code features.
• Enable AI-native workflows with LLM-assisted patterns and guarded automation.

Conocimientos

Python

Git workflows

Security mindset

Kubernetes

Docker

Herramientas

GitLab CI/CD

Terraform

OpenTelemetry

Prometheus Grafana

Backstage

Descripción del empleo

## Platform EngineerMadrid,Comunidad de Madrid,SpainFind out how well you match with this jobJob ID781984**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.