Staff AI Platform Engineer

Relevance AI
Sydney
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Product thinking","Judgment","Cross-team collaboration","Reliability ownership","Comfortable with ambiguity"]

Own the developer experience and “factory” that lets coding agents build, test, review, and deploy safely at speed. You’ll design agent-safe environments with guardrails, drive end-to-end reliability with SLOs and incident prevention, and manage cloud infrastructure and spend using AWS. Partner closely with application engineers to remove bottlenecks, share platform expertise broadly, and multiply the output of the entire engineering organization.

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FursaFursa
Relevance AI
Relevance AI
3 days ago

Staff AI Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own the developer experience and “factory” that lets coding agents build, test, review, and deploy safely at speed. You’ll design agent-safe environments with guardrails, drive end-to-end reliability with SLOs and incident prevention, and manage cloud infrastructure and spend using AWS. Partner closely with application engineers to remove bottlenecks, share platform expertise broadly, and multiply the output of the entire engineering organization.
Location: Sydney
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Own developer experience and the “factory” loop (build, test, deploy, local dev) so engineers and agents can ship fast with confidence.
  • •Build agent-safe environments (sandboxes, guardrails, and context) that enable autonomous investigation, review, and shipping.
  • •Own end-to-end reliability, including SLOs, on-call health, observability, and incident response and prevention.
  • •Own cloud infrastructure and cost, focusing on AWS, scalability, and spend visibility for the org.
  • •Design and evolve platform capabilities that support multiple teams and enable engineers and agents to contribute code effectively.

Pay and Benefits

Perks:EsopParental LeaveHealth Insurance

Key Requirements

  • •Build AI-native environments that enable coding agents to work safely and reliably at speed, including guardrails and evaluation frameworks.
  • •Own developer experience and end-to-end build/test/deploy/local-dev loops for shipping teams.
  • •Deep platform and infrastructure expertise across CI/CD, build/deploy tooling, and cloud infrastructure.
  • •Directly own reliability outcomes: SLOs, on-call health, observability, and incident response/prevention.
  • •Improve cross-team leverage by educating, unblocking others, and setting standards engineers adopt.
Experience:AIPlatform engineering
Skills:Product thinkingJudgmentCross-team collaborationReliability ownershipComfortable with ambiguity
Tech Stack:ReactVue.jsTypeScriptExpress.jsNode.jsPythonPostgreSQLMongoDBAWSVercelTerraformKubernetesGitHub ActionsOctopus DeployDatadogClaude CodeCursorCodex

Company Brief

Relevance AI
Provides a no-code platform to build and manage AI agents and agent teams for automating reasoning tasks, enabling businesses to create workflow automation, semantic search, and vector-based AI applications.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series B
Headquarters: Surry Hills, Australia
Founded: 2020
Glassdoor
Glassdoor: 4.4
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