Agentic Ai Platform Engineer

## Platform Engineer Madrid, Comunidad de Madrid, Spain Find out how well you match with this job Job ID781984About this opportunityWe’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, Dev Sec Ops, 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 Git Lab-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 Git Ops 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 Git Lab 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 Open Telemetry 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 discoverabilityand 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 SkillsTechnical Skills in priority order:
* Strong Python and scripting skills (OOP, data structures, automation/tooling, API integrations, testability).
* Expert knowledge of Git and Git Lab CI/CD, including runners, templates, security features, pipeline scaling, and the design of multi-step automation workflows using Git Lab 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 Doc