Built for Humans. Powered by AI. The AI Recruiter that takes over first interviews — fast, fair, and compliant.
DevOps Lead – AI Trainer
Location
Poland
Posted
120 days ago
Salary
€103 - €160 / hour
Seniority
Senior
Job Description
DevOps Lead – AI Trainer
10x.Team
• Review and refine AI-generated outputs related to infrastructure automation, CI/CD pipelines, system monitoring, cloud deployments, and practical aspects of DevOps workflows • Evaluate AI responses for technical accuracy, reliability, and compliance with real-world requirements • Draft realistic DevOps scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. DevOps engineer, developer, SRE, or stakeholder) • Identify gaps, oversights, or weak reasoning in AI-generated DevOps content
Job Requirements
- A senior-level DevOps engineer with significant professional experience within the EU or UK
- Experienced in designing, building, and maintaining CI/CD pipelines, infrastructure as code, cloud platforms, or deployment automation
- Skilled at evaluating system reliability, automation processes, and compliance
- Comfortable working independently and providing structured, critical feedback
- Available for 8–20 hours per week, with prompt availability
Benefits
- Flexible, fully remote freelance work that fits your current commitments
- Apply your DevOps expertise in a rapidly evolving, high-impact AI environment
- Directly contribute to building advanced AI-powered DevOps systems
- Free access to our in-house AI Academy to further develop your AI skillset
- Clear onboarding, structured tasks, and ongoing opportunities for collaboration
Related Guides
Related Categories
Related Job Pages
More DevOps Engineer Jobs
• The Senior Release Coordinator leads the planning, coordination, and execution of complex application releases at HealthEdge. • Operating with a high degree of independence, this role serves as a strategic partner to cross-functional teams. • Guiding release strategy, driving process maturity, and ensuring consistent, high-quality delivery outcomes. • Takes ownership of multi-stream release cycles, mentors junior team members, and influences continuous improvement of release management frameworks. • Communicates release posture and risk to senior leadership and key stakeholders.
DevOps Engineer / SRE
DIGIHMBPour postuler, merci de fournir : CV à jour Lien GitHub / projets (si disponible) Court message de motivation Disponibilité Envoyer à : contact@digihmb.com
Role Description Nous développons une super-application crypto multi-chain reposant sur une architecture cloud-native hautement scalable. Notre plateforme gère des actifs financiers, ce qui implique des exigences fortes en disponibilité (99,95%), sécurité et observabilité. Dans ce contexte, nous recrutons un(e) Ingénieur DevOps / SRE pour concevoir, déployer et opérer une infrastructure robuste, sécurisée et automatisée. Vos missions : - Responsable de l’ensemble de la chaîne d’infrastructure et de sa fiabilité : - Infrastructure & cloud - Concevoir et déployer l’infrastructure AWS via Terraform - Mettre en place des architectures multi-AZ et hautement disponibles - Gérer les services clés : EKS, RDS, ElastiCache, MSK - Kubernetes & orchestration - Configurer et maintenir le cluster Kubernetes (EKS) - Gérer namespaces, RBAC, autoscaling et quotas - Déployer et opérer un service mesh (Istio, mTLS, Zero-Trust) - CI/CD & automatisation - Construire et maintenir les pipelines CI/CD (GitHub Actions, ArgoCD) - Mettre en place les pratiques GitOps - Automatiser les déploiements et opérations - Observabilité & performance - Déployer la stack monitoring : Grafana, Prometheus, Jaeger, Sentry - Définir les SLIs / SLOs et systèmes d’alerting - Rédiger les runbooks et gérer les incidents - Sécurité & conformité - Gérer les secrets avec HashiCorp Vault - Configurer WAF, Shield, CloudFront - Implémenter des politiques Zero-Trust et sécurité runtime (Falco, OPA) - Optimisation - Optimiser les coûts cloud - Assurer la performance globale de l’infrastructure Qualifications - 7+ ans en DevOps / infrastructure - 3+ ans en Kubernetes en production - Maîtrise avancée de Terraform sur AWS - Expérience avec AWS (EKS, RDS, ElastiCache, messaging) - Bonne maîtrise des pipelines CI/CD et GitOps - Expérience avec Grafana, Prometheus, Jaeger - Connaissance des pratiques de sécurité Kubernetes - Expérience avec Istio ou service mesh équivalent - Capacité à définir des SLIs / SLOs Requirements - Atouts appréciés : - Certification CKA ou AWS DevOps Pro - Expérience en infrastructure blockchain (RPC, indexers) - Connaissance de Falco - Expérience en disaster recovery / BCP - Conformité sécurité (PCI-DSS, finance) Benefits - Projet Web3 ambitieux avec enjeux critiques - Stack cloud-native moderne et exigeante - Culture d’excellence technique - Équipe senior et collaborative - Remote-friendly et flexible - Impact direct sur la scalabilité et la sécurité - Formation continue et veille technologique Merci de fournir : - CV à jour - Projets / expériences infra significatives - Message de motivation - Disponibilité Envoyer à : contact@digihmb.com
• Develop and maintain APIs and services in Python (FastAPI) for infrastructure automation, pipelines, and FinOps processes. • Work on developing a FinOps platform on GCP, including cloud cost collection, analysis, and visualization. • Create and manage CI/CD pipelines using Bitbucket Pipelines. • Integrate systems with GCP (GKE, Cloud Run, Compute Engine, Billing APIs, etc.) via APIs and SDKs. • Develop and evolve the tool's user interface in ReactJS (optional, a plus). • Create automations for provisioning, standardization, and governance of cloud resources (IaC, APIs, SDKs).
DevOps Engineer – Google Cloud Platform
smartclipWe are shaping the future of online video and TV advertising
• Build and evolve developer platforms to enable fast feedback, high quality, and maximum flexibility • Design and automate developer platforms that empower teams to move fast and ship with confidence • Integrate modern tools into CI/CD pipelines – always with a focus on functional safety and reliability • Take ownership of GKE / Kubernetes infrastructure on Google Cloud • Harden systems proactively through strong security engineering • Continuously improve the platform to make development faster, safer, and more scalable



