Senior / Lead DevOps Engineer – Platform Engineering | Hungary

Cég neve

Deloitte Zrt.
Munkavégzés helye

Hibrid • Budapest
Profession Prémium

Nézd meg, mennyire felelsz meg ennek az állásnak. Mennyire passzolok?

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

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Design, build, and operate enterprise-grade Agentic AI platforms
Own architecture and delivery
Mentor engineers
Partner closely with client and internal teams
Run secure AI environments at scale under strict regulatory and security requirements
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
Bridge Data Science and Engineering
Implement agent observability (Langfuse / LangSmith)
Automate RAG architecture deployment
Build scalable pipelines from experimentation to production
Standardize environments using Terraform or Bicep
Ensure reproducible Dev, Test, and Prod environments across global deployments
Implement monitoring (Azure Monitor, Datadog)
Integrate SIEM solutions
Enable traceability and explainability of AI systems

4–8+ years in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or Platform Engineering
Proven experience delivering complex projects in Azure, 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 language skills
Identity and access management knowledge
Encryption (at rest and in transit) knowledge
Understanding of SOC2 / ISO-level compliance standards
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
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 with 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
Experience with vector databases (Milvus, Pinecone, Azure AI Search) and RAG architecture deployment
Experience with GPU workload scheduling and AI-specific observability (Langfuse, LangSmith, or similar)
Experience with workflow/orchestration platforms (n8n, Airflow, Step Functions)
Experience with FinOps practice: cloud cost analysis, optimization, and reporting
Experience with Platform Engineering patterns, Internal Developer Platforms (IDP), and GitOps (Argo CD, Flux)
Experience with DevSecOps tooling: policy-as-code, SAST/DAST, SBOM, and secrets scanning in CI/CD pipelines
Cloud or DevOps certifications (Azure, AWS, CKA, Terraform Associate)

Modern working environment
Competitive salary plus annual performance bonus
Cafeteria package and SZÉP card (accommodation, catering, recreation)
Contribution to nursery or kindergarten services
Comprehensive health coverage (Medicover health insurance and group life insurance)
Pension fund contributions
Commuting allowance
Hybrid working model
International exposure
Continuous learning and certification support