Senior / Lead DevOps Engineer – Platform Engineering | Hungary

Egyéb juttatások
- Cafeteria
- Egészségbiztosítás
- Nyugdíjpénztár
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- DEVOPS CLOUD AZURE POWERSHELL BASH AWS PYTHON CI CD JENKINS ISO SIEM AGILIS
Elvárások
- Angol középfok és
- Magyar anyanyelvi szint
- 3-5 év tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

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

Infrastructure as Code

Observability & Transparency

Core Competences

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)
Strong English and native Hungarian are mandatory

Security & Compliance Mindset

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

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)

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
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