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Cribl

Staff Software Engineer, Agentic Tools

Cribl

. Design, build, and operate production agentic workflows and platform harnesses .

Posted 10/5/2026full-timeRemote • California • United StatesLead💰 $210,000 - $245,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and operating production agentic workflows and event-driven architectures, with a strong focus on AI tooling and observability. Proficient in TypeScript, Node.js, and building backend services while ensuring security and data access compliance.

Highest-signal resume keywords
TypeScript ExperienceNode.js ExperienceEvent-Driven SystemsAutomated CI/CD PipelinesAgent Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Production Distributed SystemsSoftware Engineering FundamentalsBackend Services DevelopmentAutomated PipelinesObservability FluencyAI-Assisted Engineering WorkflowsAgent FrameworksIntegration TechniquesMonitoring and RollbackCloud Production Operations
Soft Skills
Clear CommunicationDocumentation AbilityTeaching AbilityProblem-SolvingJudgment Around Security
Tools & Technologies
KubernetesTerraformTemporalAWSCI/CD Tools
Industry Keywords
Agentic WorkflowsEvent-Driven ArchitecturesAI ToolingObservabilityCloud-Native Operations

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsJavaScriptKubernetesNode.jsTerraformTypeScript

About the role

Key responsibilities & impact
  • Design, build, and operate production agentic workflows and platform harnesses
  • Practice intent engineering by turning goals into specifications, rules, constraints, and acceptance criteria
  • Stay current on AI tooling and practices and evangelize effective patterns across Engineering
  • Participate in design discussions and implement agreed solutions
  • Build observability and guardrails, including tracing, regression detection, human-in-the-loop controls, safe rollout, and operability
  • Own agent runtime components including job isolation, scheduling, execution environments, secrets, access, and cloud production operations
  • Design and operate event-driven architectures using queues, streams, webhooks, and asynchronous job fan-out
  • Maintain automated CI/CD paths with progressive delivery and rollback
  • Use and improve the platform through dogfooding
  • Improve AI-assisted engineering workflows for writing, testing, reviewing, debugging, and validating changes
  • Partner across Engineering to understand workflows, ship tools, and drive adoption through playbooks, examples, demos, and enablement
  • Evaluate build-versus-buy decisions and monitor the AI tooling ecosystem
  • Define and track adoption, quality, reliability, and satisfaction metrics
  • Partner on security and data access
  • Take projects from design through implementation, rollout, and day-two operability
  • Participate in standby, on-call, or off-hours duties as needed

Requirements

What you’ll need
  • Staff-level (or equivalent) professional software engineering experience building and operating production distributed systems
  • Strong TypeScript and modern JavaScript experience
  • Node.js experience shipping production services
  • Strong software engineering fundamentals in design, testing, debugging, APIs/services, and code quality
  • Experience with automated pipelines, progressive delivery or safe rollout, monitoring, and rollback
  • Hands-on fluency with modern LLM and agentic coding workflows in production or serious internal platforms
  • Experience building backend services, integrations, automation, and internal tools
  • Professional experience with agent orchestration, tool-calling systems, evaluation or guardrail techniques, and connecting agents to reliable backend systems
  • Familiarity with agent frameworks, orchestration layers, and integrating external tools and data sources into LLM-based systems
  • Experience with event-driven systems such as queues, streams, pub/sub, or webhooks
  • Observability fluency with metrics, logs, and traces
  • Clear communication, documentation, and teaching ability
  • Judgment around security, permissions, data access, and safe tool rollout
  • Ability to problem-solve from first principles, make sound trade-offs, and drive work independently through ambiguity
  • Hands-on Kubernetes in production (nice to have)
  • Terraform or similar infrastructure-as-code experience (nice to have)
  • Temporal or other workflow-platform experience (nice to have)
  • Deeper AWS/cloud-native operations fluency (nice to have)

Benefits

Comp & perks
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Short-term disability insurance
  • Life insurance
  • Paid holidays
  • Paid time off
  • Fertility treatment benefit
  • 401(k)
  • Equity
  • Cribl Corporate Bonus Program