
501 - 1000 employees
Founded 2017
âď¸ SaaS
SaaS ⢠Cloud
Cribl is a company providing a cloud-based service, allowing users to manage and analyze their data through a web application. The service includes features for user accounts and integration with Google for authentication.
đĽ 13 hours ago
đ California â Remote
đľ $100k - $150k / year
â° Full Time
đ Senior
đď¸ Platform Engineer
đŚ H1B Visa Sponsor
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501 - 1000 employees
Founded 2017
âď¸ SaaS
SaaS ⢠Cloud
Cribl is a company providing a cloud-based service, allowing users to manage and analyze their data through a web application. The service includes features for user accounts and integration with Google for authentication.
⢠Own Legal AI systems and components from requirements and technical design through implementation, testing, release, operation, and documentation ⢠Architect and operate integrations across CLM, CRM, intake, workflow, knowledge, identity, and collaboration systems using APIs, webhooks, queues, automation platforms, and reliable data contracts ⢠Translate approved legal language, routing rules, risk thresholds, and conditioned paths into maintainable technical controls while preserving HITL review and escalation ⢠Build governed AI plugins, single-job agents, and automations using approved source content ⢠Develop evaluation and quality controls, including representative test sets, regression checks, schema validation, traceability, and change evidence ⢠Instrument systems for reliability, auditability, model and vendor cost, and operational telemetry ⢠Apply production controls for SSO/SCIM, service identities, scoped credentials, secrets management, privileged administration, access, logging, monitoring, incident handling, and rollback ⢠Maintain automated tests, CI/CD workflows, dependency controls, release evidence, runbooks, and system maps ⢠Carry systems from problem definition through production and establish operating ownership, maintenance models, and handoff SLAs ⢠Partner on workflow and playbook design, reliability, cost, value signals, usability, adoption, and feedback ⢠Own technical delivery for contracting, clickwrap, denied-party screening, privacy operations, and HR contract workflows ⢠Improve self-service and low-touch contracting through contract-generation and review systems ⢠Partner with Legal AI Analysts and Legal stakeholders to resolve system behavior, data quality, usability, and adoption issues ⢠Support reporting, data modeling, and operational telemetry covering automation rates, cycle times, ticket reduction, roadmap progress, satisfaction, budgeting, and business impact ⢠Maintain the boundary between shared infrastructure and Legal-specific delivery ⢠Mentor others in role execution and cross-functional collaboration ⢠Work across multiple time zones and occasionally outside standard hours when production needs require it
⢠Seasoned experience in software, platform, integration, or infrastructure engineering, with independent ownership of complex production systems or components ⢠Hands-on ability with a general-purpose programming language such as Python, APIs, webhooks, structured data, automation, and systems troubleshooting ⢠Experience with cloud services, event-driven architectures, queues, containers, source control, CI/CD, automated testing, release controls, and production observability ⢠Practical experience with AI/LLM systems, including model APIs, retrieval or tool-use patterns, agents, evaluation, HITL controls, and the limits of generative output ⢠Strong identity and security fundamentals, including OAuth, service identities, least-privilege access, SSO/SCIM, secrets management, audit logging, and secure operational practices ⢠End-to-end technical ownership of CLM, CRM, workflow, service-desk, spend-management, repository, or adjacent operational platforms ⢠Ability to translate legal, contractual, compliance, and policy requirements into workflows, fields, conditions, repositories, technical controls, and auditable evidence ⢠Ability to investigate ambiguous problems, prioritize across multiple initiatives, and turn partially defined operational needs into shipped, maintainable outcomes with limited day-to-day direction ⢠Excellent communication and change-management skills across engineers, lawyers, analysts, security partners, finance stakeholders, People teams, and business-system owners ⢠Experience with AI governance, privacy, information governance, or legal knowledge systems ⢠Comfort working with reporting, metrics, dashboards, and BI-adjacent outputs ⢠Experience with AWS serverless services, containerized workloads, GitHub Actions, MCP or other tool-use integrations, and production AI evaluation is a strong plus ⢠Ability to work effectively across a remote-first company and multiple time zones, including occasional work outside standard hours when production needs require it
⢠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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