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 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

- 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.

Join our Team

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📌 Platform Engineer (Madrid)
🏢 Ericsson
📍 Madrid