Platform Engineer
DevOps & LLMOps (Agentic AI Platforms) | Manager | Hungary
Budapestfulltime
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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 move toward autonomous AI agents operating on sensitive data, they need secure, scalable, and compliant platforms.
This is where you come in.
🟢 We are l
ooking for a Manager / Senior Lead in DevOps & LLMOps
to
design and lead the deployment of enterprise-grade Agentic AI platforms.
You will help some of the world’s most recognized organizations build secure AI environments that operate at scale — and under strict regulatory standards.
If you are excited about combining deep engineering with high-impact consulting, this role offers exactly that.
💼 Your Profile
We are looking for a technically strong leader who is comfortable operating in complex environments.
Core Experience
- 4–8+ years
in
Cloud Engineering, DevOps
, or SRE - Proven
experience delivering complex projects in Azure
(preferred), AWS, or GCP - Strong Kubernetes expertise (Helm, Kustomize)
- CI/CD automation
(GitHub Actions, Azure DevOps)
Security & Compliance Mindset
- Identity & access management
- Encryption (at rest and in transit)
- Understanding of SOC2 / ISO-level compliance standards
Nice to Have
- Experience with Vector Databases (Milvus, Pinecone)
- GPU workload scheduling
- Scaling workflow engines (e.g., n8n)
- Exposure to
LLMOps or GenAI
production environments
Your future role
🎯Your Impact
You will play a leading role in
architecting production-ready AI ecosystems.
🚀
Platform Engineering & Orchestration
- Design and scale sovereign AI platforms on Azure Kubernetes Service (AKS)
- Ensure high availability and reliability for multi-agent AI systems
- Enable secure enterprise-grade AI deployments
🔐
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
Join a fast-growing AI & Data Excellence team
in Hungary, connected to a global network of 160+ specialists and strategic partnerships with Microsoft, Google, and AWS.
📈
Real Career Acceleration
This is not just another DevOps role. You will:
- You will work on
high-profile international engagements
where your architecture decisions directly influence how enterprises operate with AI. - Lead complex AI
platform initiatives - Influence
architecture decisions at enterprise level - Grow toward technical leadership or strategic advisory roles
Benefits:
- Modern Working Environment
- Competitive salary + annual performance bonus
- Cafeteria package & SZÉP card (accommodation, catering, recreation)
- Contribution to nursery or kindergarten services
- Comprehensive health coverage (Medicover health insurance & group life insurance)
- Pension fund contributions
- Commuting allowance
- Hybrid working model
- International exposure
- Continuous learning & certification support
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