Cloud & DevOps Engineer (Azure - GCP)
Core
Design, implement, and maintain resilient, secure, and scalable cloud environments while bridging development and operations through continuous automation.
Role type
Cloud & DevOps Engineer
Builds
Cloud-native infrastructure, CI/CD pipelines, containerized microservices, and observability stacks
Domain
Cloud Infrastructure (Azure, GCP), DevOps, Site Reliability Engineering
Deliverable
production ML models | infrastructure
Required skills
Infrastructure as Code (Terraform), CI/CD pipeline management, Container orchestration (Kubernetes, Docker), Cloud network administration, Identity and access management (IAM/RBAC), Relational database support (SQL Server), Big Data pipeline integration, Observability tooling (Prometheus, Grafana, Datadog, Azure Monitor), LLMOps/MLOps concepts, Generative AI tool application
Preferred skills
FinOps practices, Root-cause analysis, Agile frameworks (Scrum, Kanban), Managed AI services provisioning (Azure OpenAI, Google Vertex AI), Vector database management, AIOps anomaly detection
Technologies
Terraform, GitHub Actions, Azure DevOps, GitLab, Jenkins, Docker, Kubernetes, Azure Container Apps, Prometheus, Grafana, Datadog, Azure Monitor, SQL Server, Databricks, Azure OpenAI Service, Google Vertex AI
Responsibilities
Design and provision cloud infrastructure using Infrastructure as Code; Configure and manage secure network topologies; Build and maintain automated CI/CD pipelines; Manage containerized microservice environments; Implement proactive monitoring, logging, and telemetry; Troubleshoot complex infrastructure incidents and conduct root-cause analyses
Seniority
Mid-Senior, hands-on IC
