Job Description
**Cloud DevAIOps Engineer**
**Location:** Remote / Hybrid
**Type:** Full\-Time
**Level:** Mid–Senior
**Salary**: $92,976 \- $114,853 annual salary per year
**Role Overview**
We are looking for a skilled Cloud DevAIOps Engineer to design, build, and operate our cloud infrastructure and delivery pipelines. You will focus on designing high\-quality, reliable, and scalable solutions across our multiple data center environments, drive automation and integrations, and support GenAI strategic transformations.
**Key Responsibilities**
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* Design, provision, and manage scalable cloud infrastructure on AWS / Azure / GCP.
* Build and maintain CI/CD pipelines to automate build, test, and deployment workflows.
* Deploy and manage containerized workloads using Docker and Kubernetes (EKS / AKS / GKE / Cloud Run).
* Implement and maintain monitoring, alerting, and observability solutions (Prometheus, Grafana, Datadog).
* Enforce cloud security best practices including IAM, secrets management, and compliance controls.
* Optimize cloud costs through resource right\-sizing, autoscaling, and tagging strategies.
* Collaborate with developers to improve developer experience and platform reliability.
* Maintain infrastructure as code, runbooks, and architectural documentation.
* Support incident response, root cause analysis, and on\-call rotations.
**Qualifications**
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**Required Skills \& Experience**
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* 3–5\+ years in a Cloud, DevOps, or Infrastructure engineering role building scalable distributed systems and event\-driven solutions.
* Hands\-on experience supporting production workloads on **GCP, AWS, or Azure**.
* **Linux** administration and multi\-cloud networking fundamentals (DNS, VPCs, load balancing).
* Strong **Docker and Kubernetes** experience in production environments.
* Proficiency with **Terragrunt / Terraform**, or equivalent **IaC** tooling.
* **CI/CD** pipeline experience (**GitHub Actions**, GitLab CI, or similar).
* IAM, **OAuth \& AuthZ** deployments (Ory Hydra, Cerbos, or equivalent).
* Scripting skills in **Python** and/or **Bash**.
* Bachelor’s degree in Computer Science, Information Systems, or a related field — or equivalent technical experience.
**Preferred / Asset**
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* Cloud certification (GCP Cloud Engineer, AWS Solutions Architect, AZ\-305, CKA, or equivalent).
* Expertise building Kubernetes infrastructure and event\-driven solutions (Kafka, AWS SQS, GCP Pub/Sub or Tasks).
* Exposure to GenAI trends: Claude, Gemini, Windsurf, Google ADK, and MCPs is an advantage.
* Exposure to SAP ERP or SAP TM on HANA infrastructure is a plus to support transitions.
* GitOps experience (GitHub Actions, ArgoCD, Flux).
* DevSecOps tooling (Aikido, Checkov, Snyk, Trivy).
* FinOps / cloud cost management experience.
* Experience with databases: Postgres, ClickHouse.
* On\-premises hardware management experience (Proxmox).
**Work Schedule \& Enviro...