Description & Requirements

Who we are looking for

We are looking for a Medior DevOps / Cloud Engineer (~3 years of experience) in DevOps, Cloud Engineering, SRE, or a similar field, someone who enjoys hands-on work and wants to help teams run AI and data workloads on a solid cloud foundation.

What you will bring:

Practical experience with Azure or AWS (compute, networking, storage, identity)
Infrastructure as Code: Terraform and/or Bicep or CloudFormation/CDK
CI/CD: Azure DevOps, GitHub Actions, GitLab CI, or Jenkins
Automation scripting in Python, Bash, or PowerShell
Monitoring basics: Azure Monitor, CloudWatch, Datadog, or Prometheus/Grafana
English at a working level

You will also be comfortable with:

Implementing and maintaining cloud resources according to team standards, and troubleshooting deployments and pipelines
Applying basic security practices such as RBAC and secrets management
Kubernetes: exposure to containers, AKS, or EKS, or a real willingness to learn
🔐 Security: IAM/Entra ID, encryption and private connectivity on projects, plus logging and traceability (SOC/ISO knowledge is a plus)

Nice to have:

GenAI/LLM deployments, Azure AI, or RAG infrastructure
GitOps, FinOps, and DevSecOps in CI/CD
GPU workloads
Relevant certifications

💡 No ML expertise needed! Interest in supporting AI and data environments is all we ask.

Your future role

Organizations are moving AI and data workloads into production, and they need the same strong cloud foundation as any enterprise system: secure networking, identity, automated deployments, and monitoring. That’s where you come in.

As our Medior DevOps / Cloud Engineer, you will build and run the cloud and deployment layers that let product, data, and AI teams release safely:

☁️ Provision and manage Azure/AWS resources as part of real client engagements

🏗️ Build IaC and CI/CD pipelines to automate deployments

🛡️ Ensure reliability through monitoring, runbooks, and incident handling

🔒 Apply security patterns across projects

🛡️On AI and data projects, own the environments and pipelines, while model work stays with the data teams

What we offer

👉 Fringe benefits:

Annual Performance Bonus – rewarding excellence and dedication
Hybrid Work Model
Professional Development – skill-enhancing training and career advancement opportunities
SZÉP Card – for accommodation, dining, and recreation
Extended Health and Pension Coverage – including Medicover services and contributions to health and pension funds
Group Life and DCE Travel Insurance – comprehensive insurance for security and peace of mind.
BeWell 360 Program – access to sports activities, mental health workshops, gym discounts, and employee assistance and more

Selection process

HR Screen (15 minutes) 📞
A quick call with our HR team to get to know you, walk through your background, and answer any initial questions about the role and company.
Technical Interview/s with Management 💻
A deeper conversation with the hiring manager (and/or team) to assess your technical skills and experience, and to see how you would fit within the team.
Offer 🎉

About Deloitte

Deloitte is a variety of people, experience, industries and services we deliver in 150 countries of the world. It is an intellectual challenge, a good starting point for your career, and an excellent opportunity for continuous development and gaining valuable life experiences. What you only must do is to take the first step – press the apply button and send us your CV, go through all the stages of the recruitment process and sign a contract with us. Deloitte is simply your best choice.

General Information

Position

Medior DevOps Engineer | Hungary

Work arrangement

Full-time

City

Budapest

Country

Hungary

Department

Consulting

Team

Engineering, AI & Data

Area of interest

Cloud

Way of work

Hybrid

Medior DevOps Engineer

About the role

Skills

Benefits

Perks

Full job details

Description & Requirements

General Information