Key skills
AWSCloudGoogle Cloud PlatformGrafanaPrometheusTerraformAIMachine LearningMLOpsGCPGoogle CloudGitLab CISageMakerVertex AIIdentity ManagementDatadogOpenTelemetryGitLabGitOpsSaaSCI/CD
About this role
Role Overview
- Architect Multi-Cloud Infrastructure
- Lead Security Implementations
- Drive SRE Practice
- Automate with an AI-First Mindset
- Drive MLOps and Data Infrastructure
- Manage Containerized Workloads
- Create Execution Clarity
- Build Right-Sized Processes
- Non-Human Identity Management
Requirements
- 8+ years of hands-on experience in DevOps, Cloud Engineering, or SRE in fast-paced SaaS, platform, or data-heavy environments.
- Deep architectural-level expertise in AWS (primary), combined with strong working knowledge or a fast ramp-up capability in GCP.
- Hands-on experience with SLO/SLI definition, error budgets, on-call rotations, blameless postmortems, and incident command.
- Strong working knowledge of Datadog, Prometheus, Grafana, OpenTelemetry, and structured logging.
- Expertise in GitLab CI/CD and Infrastructure as Code (Terraform) and GitOps methodologies.
- Hands-on experience supporting machine learning pipelines and managing infrastructure like Vertex AI or SageMaker.
- Fluency in English at B2+ level.
Tech Stack
- AWS
- Cloud
- Google Cloud Platform
- Grafana
- Prometheus
- Terraform
Benefits
- Compensation includes equity