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 Engineering
Proven experience delivering complex projects in Azure (preferred), AWS, or GCP
Strong hands-on expertise in Kubernetes (AKS/EKS/GKE), Helm, Kustomize, and container orchestration at scale
Deep 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 environments
Practical 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 management
Encryption (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 support
Experience defining CI/CD patterns, IaC standards, and platform reference architectures for others to follow
Comfortable acting as incident commander or technical lead during critical production issues
Strong collaboration with Engineering, Security, Architecture, and Data Science stakeholders
Excellent communication in English; ability to explain technical trade-offs clearly to mixed audiences
Experience working in agile, international, and hybrid delivery environments

Nice to Have

Experience with LLMOps, GenAI production environments, or Agentic AI platforms
Vector databases (Milvus, Pinecone, Azure AI Search) and RAG architecture deployment
GPU workload scheduling and AI-specific observability (Langfuse, LangSmith, or similar)
Workflow/orchestration platforms (n8n, Airflow, Step Functions)
FinOps practice: cloud cost analysis, optimization, and reporting
Platform 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 pipelines
Cloud 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 deployments
Design and implement scalable, sovereign AI platforms on Azure Kubernetes Service (AKS)
Build and maintain CI/CD pipelines, deployment automation, and reusable platform components
Ensure high availability, resilience, and performance for multi-agent and data-intensive workloads
Contribute to golden paths and reference architectures used across engagements

🔐 Security & Governance

Architect Zero-Trust environments for LLM-based solutions
Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
Ensure compliance with enterprise security and audit standards

🔄 LLM Lifecycle & Production Enablement

Bridge Data Science and Engineering
Implement agent observability (Langfuse / LangSmith)
Automate RAG architecture deployment
Build scalable pipelines from experimentation to production

🏗 Infrastructure as Code

Standardize environments using Terraform or Bicep
Ensure reproducible Dev, Test, and Prod environments across global deployments

📊 Observability & Transparency

Implement monitoring (Azure Monitor, Datadog)
Integrate SIEM solutions
Enable 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

General Information

Position

Senior / Lead DevOps Engineer – Platform Engineering | Prague

Work arrangement

Full-time

City

Prague

Country

Czech Republic

Department

Consulting

Team

Engineering, AI & Data

Area of interest

AI - Artificial Intelligence, Consulting, Data & Analytics, Digital, Engineering

Way of work

Hybrid

Senior / Lead DevOps Engineer – Platform Engineering | Prague

About the role

Skills

Benefits

Perks

Full job details

Description & Requirements

General Information