
501 - 1000 Mitarbeiter
GegrĂźndet 2017
âď¸ SaaS
SaaS ⢠Cloud
Cribl ist ein Unternehmen, das einen Cloud-basierten Dienst anbietet, mit dem Benutzer ihre Daten Ăźber eine Webanwendung verwalten und analysieren kĂśnnen. Der Dienst umfasst Funktionen fĂźr Benutzerkonten und die Integration mit Google zur Authentifizierung.
đ vor 11 Tagen
đ California â Remote
đľ $210.000 - $245.000 / Jahr
â° Vollzeit
đ´ Experte
đ§âđť Full-Stack-Entwickler
đŚ H1B-Visum-Sponsor
đť Geisterscore 0%
đŁď¸đşđ¸đŹđ§ Englisch erforderlich
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501 - 1000 Mitarbeiter
GegrĂźndet 2017
âď¸ SaaS
SaaS ⢠Cloud
Cribl ist ein Unternehmen, das einen Cloud-basierten Dienst anbietet, mit dem Benutzer ihre Daten Ăźber eine Webanwendung verwalten und analysieren kĂśnnen. Der Dienst umfasst Funktionen fĂźr Benutzerkonten und die Integration mit Google zur Authentifizierung.
⢠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
⢠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)
⢠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
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