Senior / Lead DevOps Engineer – Platform Engineering

Description & Requirements Who we are looking for Shape the Infrastructure Behind Enterprise AI 🚀 AI is no longer experimental — it is mission-critical. As global organizations deploy autonomous AI agents on sensitive data, they need secure, scalable, and compliant platforms that meet the same reliability standards as any enterprise production system. This is where you come in. 🟢 We are looking for a Senior or Lead DevOps Engineer to design, build, and operate enterprise-grade Agentic AI platforms. You will be a hands-on technical leader — owning architecture and delivery while mentoring engineers and partnering closely with client and internal teams. You will help some of the world’s most recognized organizations run secure AI environments at scale under strict regulatory and security requirements. If you are excited about deep cloud-native engineering with real consulting impact, this role offers exactly that. 💼 Your Profile We are looking for a technically strong engineer who is comfortable operating in complex environments. Core Experience 4–8+ years in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or Platform EngineeringProven experience delivering complex projects in Azure (preferred), AWS, or GCPStrong hands-on expertise in Kubernetes (AKS/EKS/GKE), Helm, Kustomize, and container orchestration at scaleDeep experience with CI/CD automation and pipeline design (GitHub Actions, Azure DevOps, GitLab CI, or Jenkins)Infrastructure as Code (Terraform, Bicep, or Pulumi) across Dev, Test, and Production environmentsPractical experience with observability (Azure Monitor, Datadog, Prometheus/Grafana, or OpenTelemetry)Strong scripting and automation skills (Python, Bash, or PowerShell)Excellent English language skills and native Czech are mandatory Security & Compliance Mindset Identity & access managementEncryption (at rest and in transit)Understanding of SOC2 / ISO-level compliance standards Technical Leadership & Consulting Capabilities Ability to own technical workstreams end-to-end — from design through implementation and production supportExperience defining CI/CD patterns, IaC standards, and platform reference architectures for others to followComfortable acting as incident commander or technical lead during critical production issuesStrong collaboration with Engineering, Security, Architecture, and Data Science stakeholdersExcellent communication in English; ability to explain technical trade-offs clearly to mixed audiencesExperience working in agile, international, and hybrid delivery environments Nice to Have Experience with LLMOps, GenAI production environments, or Agentic AI platformsVector databases (Milvus, Pinecone, Azure AI Search) and RAG architecture deploymentGPU workload scheduling and AI-specific observability (Langfuse, LangSmith, or similar)Workflow/orchestration platforms (n8n, Airflow, Step Functions)FinOps practice: cloud cost analysis, optimization, and reportingPlatform Engineering patterns, Internal Developer Platforms (IDP), and GitOps (Argo CD, Flux)DevSecOps tooling: policy-as-code, SAST/DAST, SBOM, and secrets scanning in CI/CD pipelinesCloud or DevOps certifications (Azure, AWS, CKA, Terraform Associate) Your future role 🎯Your Impact You will be a hands-on technical owner for production-ready AI and cloud platforms — designing, implementing, and hardening solutions that others can build on. 🚀 Platform Engineering & Orchestration Enable secure enterprise-grade AI deploymentsDesign and implement scalable, sovereign AI platforms on Azure Kubernetes Service (AKS)Build and maintain CI/CD pipelines, deployment automation, and reusable platform componentsEnsure high availability, resilience, and performance for multi-agent and data-intensive workloadsContribute to golden paths and reference architectures used across engagements 🔐 Security & Governance Architect Zero-Trust environments for LLM-based solutionsImplement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcementEnsure compliance with enterprise security and audit standards 🔄 LLM Lifecycle & Production Enablement Bridge Data Science and EngineeringImplement agent observability (Langfuse / LangSmith)Automate RAG architecture deploymentBuild scalable pipelines from experimentation to production 🏗 Infrastructure as Code Standardize environments using Terraform or BicepEnsure reproducible Dev, Test, and Prod environments across global deployments 📊 Observability & Transparency Implement monitoring (Azure Monitor, Datadog)Integrate SIEM solutionsEnable traceability and explainability of AI systems What we offer Competitive salary and annual performance bonus At the beginning, you will be assigned a buddy who will help you during the first days and weeks. Your personal growth will be supported by your own coach. 25 days of vacation and 2 sick days per year without the need for a medical certificate. A comprehensive Cafeteria plan with 31,200 points per year. You can select benefits tailored to your preferences (meal vouchers/meal allowance, pension insurance, vouchers for sports or cultural activities, or even purchase 2 extra vacation days). Reimbursement for clothing care and cleaning expenses. Access to external and internal training programs to support your ongoing professional development. Hybrid work model for better work-life balance. We know how to work hard — and how to recharge. You can look forward to company events and team-building activities. Mobile phone (Apple/Samsung – the choice is yours) with a favorable tariff, even for personal use. Salary support during illness and paternity leave. Comprehensive travel insurance covering both personal and business trips. One-site fitness studio, company massage, tailor and dry-cleaning services - all conveniently available in our Prague office. Health comes first, and that's why the online counseling service is available to you. We organize Health Days, during which various workshops and specialized medical examinations take place. In challenging situations, our assistance service is here to help – qualified specialists will provide legal, financial, and psychological counseling. Selection process Apply with your CV in English Please submit an up-to-date CV in English as part of your application. HR Screening Call An initial conversation with our Talent Acquisition team to discuss your experience, motivation, language skills, and overall fit for the role. Technical Interview with the Hiring Manager A deeper discussion focused on your technical expertise, project experience, leadership capabilities, and alignment with the role requirements. Final Meeting with the AI & Data Director A final get-to-know-you conversation focused on your career aspirations, leadership approach, and potential contribution to Deloitte's AI & Data practice