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SeniorFull-timePythonRustGCPKubernetesTerraformPyTorchCI/CDGitGoAI
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an embedded Senior Site Reliability Engineer to join the AI Research team at Algolia. In this role, you will support both research and product-engineering aspects by ensuring the stability, scalability, and operability of the infrastructure that enables AI-powered systems.
Key Responsibilities
- →Support and evolve the reliability of platforms used by the AI Research team
- →Ensure production services meet expectations for availability, latency, and operational readiness
- →Design infrastructure and operational patterns that prioritize iteration speed while maintaining appropriate safeguards
- →Work closely with researchers and engineers in a cross-functional setting
- →Build and maintain Kubernetes-based services on GCP using infrastructure-as-code and GitOps
- →Own and improve CI/CD pipelines for services written primarily in Go
- →Design and operate observability systems using tools such as Datadog
- →Participate in an on-call rotation, responding to incidents and helping improve systems
Requirements
- ✓Strong experience operating cloud-first infrastructure
- ✓Hands-on experience running production services on Kubernetes
- ✓Proficiency with infrastructure-as-code (Terraform) and CI/CD systems
- ✓Experience supporting production services written in Go
- ✓Solid grounding in service reliability, incident response, and operational best practices
- ✓Comfort working in environments with ambiguity and high ownership
Benefits
- ★High Impact: Your work directly enables new AI-powered capabilities that reach customers
- ★High Agency: You’ll help shape what gets built, how it’s built, and whether it’s worth building
- ★Strong Peers: Collaborate with experienced SREs, engineers, and PhD researchers
- ★Growth: Build expertise in research-adjacent infrastructure and platform reliability
- ★Flexibility: Australia-based role with remote-friendly culture
- ★This is a full-time position with a flexible workplace model that emphasizes individual impact and contribution over physical location.
