Ai-Native Platform Engineer For Developer Experience

Platform Engineer Madrid, Comunidad de Madrid, Spain Find out how well you match with this job Job ID**About 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 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.#J-*****-Ljbffr

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 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. #J-*****-Ljbffr