3 months ago
Base Salary
$178k - $321k/yr
Responsibilities
- Operate and progressively migrate the Google Workspace-native prototype estate, including Apps Script, Drive, Docs/Sheets/Slides APIs, locally scheduled jobs, and Claude Code agent tooling.
- Re-architect Hive Mind into a resilient AWS or GCP platform with HA, DR, SLOs, observability, and production ownership.
- Build the agentic runtime and evaluation harness, including orchestration, multi-model routing, tool, MCP, and plugin integrations, evaluation gates, judge calibration, cost controls, and red-team testing.
- Build responsible-AI and model-governance controls for hallucination, bias, drift, output validation, guardrails, provenance, and complete logging.
- Build governed data infrastructure with immutable audit trails, versioned evidence, reproducible pipelines, and source-to-report traceability.
- Engineer encryption, key and secrets management, least-privilege access, sensitive-data handling, residency, and retention controls.
- Stand up production-grade CAAT and continuous-monitoring data foundations supporting full-population analytics and real-time exception streaming.
- Own infrastructure-as-code, CI/CD, identity, networking, observability, cost controls, runbooks, and platform examinability.
- Collaborate with auditors and internal stakeholders while maintaining and improving the inherited platform.
Requirements
- 7+ years building and operating resilient backend or platform systems in production, including long-term on-call ownership.
- Proven experience migrating founder-built or prototype systems to production while they remain in daily use.
- Strong data structures and algorithms fundamentals, fluent Python, strong SQL and data modeling, and proficiency in TypeScript/Node or Go.
- Demonstrated experience building model-agnostic agent orchestration, model routing, multi-provider evaluation, agent SDK integrations, MCP servers, agent tooling, and red-team harnesses.
- Experience with responsible-AI controls covering hallucination, bias, drift, output validation, guardrails, and logging.
- Data engineering experience with provenance and lineage, plus security and data-protection engineering involving encryption, identity and access management, secrets, and retention.
- Experience with AWS or GCP, Terraform, CI/CD, high availability, disaster recovery, SLOs, observability, automated testing, and documentation.
- Ability to operate in locked-down enterprise environments with TLS-intercepting proxies, endpoint detection and response tooling, restricted installs, security guardrails, and OAuth admin consent.
- Experience translating audit needs into systems, explaining technical risk to non-engineers, and driving adoption.
- Preferred experience with multi-agent orchestration frameworks, MCP servers, plugin development, Anthropic, OpenAI, and Google model ecosystems.
- Preferred experience with AI governance or model-risk programs, including the NIST AI Risk Management Framework.
- Preferred experience with continuous auditing or continuous-controls monitoring, streaming and real-time data, statistical anomaly detection, applied machine learning, vector stores, retrieval, or LLM cost engineering.
- Experience with external audit, SOC 2, SOX, crypto or blockchain, regulated financial services, fintech, or crypto is helpful but not required.
Benefits
- L&D programs and education subsidies
- Team-building programs and company events
- Wellness and meal allowances
- Healthcare coverage for employees and dependants
- Competitive total compensation package
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About OKX
OKX builds a global cryptocurrency exchange and Web3 wallet used by retail and institutional traders for spot, derivatives, and DeFi access, with developer APIs. Its business model centers on trading and financing fees, plus wallet and on-chain services. Founded in 2017 and privately held, OKX publishes monthly proof-of-reserves and operates as part of the OKG group serving crypto markets worldwide.