Linux, tự động hóa bằng Bash/Python/Go, Git + code review
Trách nhiệm
Cung cấp, nâng cấp, mở rộng cụm Kubernetes trên nhiều đám mây bằng Terraform
Duy trì pipeline CI/CD (Azure Pipelines) để triển khai an toàn
Tham gia trực sự cố, xử lý sự cố gốc rễ
Xây dựng metrics, logs, traces, alert để phát hiện sự cố sớm
Có thì tốt
CI/CD và deployment tự động (Azure Pipelines)
Công cụ quan sát (metrics, logs, traces)
Nhiều cloud provider
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
Every Orange Logic customer runs on cloud infrastructure our team operates: Kubernetes clusters across several clouds and regions. We’re bringing that estate onto one consistent platform, defined in code, deployed automatically and observable end to end. What you ship runs in production the next day, and your customers are our own engineering teams: you turn their requests into self-service products, not a ticket queue.
What you’ll do:
Run the runtime platform: Provision, upgrade and scale Kubernetes clusters across clouds and regions, entirely in code (e.g. Terraform).
Ship changes safely: Maintain the pipelines and automated deployment flows that deliver platform and product changes (e.g. Azure Pipelines).
Operate what you build: Take part in the on-call rotation, handle incidents, and fix the cause, not only the symptom.
Make it observable: Build the metrics, logs, traces and alerts that tell teams what is wrong before customers notice.
Remove toil: Automate repetitive operational work, and turn recurring requests into documented, self-service products.
Secure by default: Least-privilege access, proper secrets handling, and security built into the pipelines and the platform.
Work with your customers: Product teams, QA and architects. Understand what they need before you build it.
Must-have:
At least 3 years in DevOps, infrastructure or SRE roles, including running production workloads.
Kubernetes in production: deploying, operating and troubleshooting workloads.
Infrastructure as code with Terraform or a similar tool.
Deep hands-on experience with at least one major cloud provider (AWS preferred).
Linux, and automation written as code in at least one language (e.g. Bash, Python, Go), with source control and code review.
The ability to use AI tools as a pair operator for infrastructure debugging, scripting, CI/CD, configuration and automation work, while keeping human control over validation, security and production risk.
Working English, written and spoken.
Nice to have:
CI/CD and automated deployment tooling (e.g. Azure Pipelines).
