Associate Director, Software Engineering (AI Guardrail)
Indexed description
We are currently seeking an experienced professional to join our team in the role of Associate Director, Software Engineering (AI Guardrail).
Business: CTO Platforms (AI Platforms)
Location: Shenzhen / Guangzhou / Xi'an
Req ID: 45007
Principal Responsibilities
- Build high-concurrency async services in Python (asyncio) and/or Go for AI/LLM guardrail runtimes.
- Design scalable sync/async execution pipelines, including batching, routing, and inference orchestration.
- Implement queueing and flow-control (backpressure, retries, timeouts, cancellation, overload protection, rate limiting).
- Deliver streaming and real-time processing via WebSocket, SSE, gRPC streaming, and event-driven patterns.
- Build distributed messaging architectures using Kafka/PubSub to support chunked/streaming inference and detection.
- Instrument end-to-end observability (metrics, tracing, telemetry) with OpenTelemetry/OpenInference and actionable dashboards/alerts.
- Lead reliability and performance engineering: profiling, concurrency tuning, bottleneck/latency/overload remediation, SLO/SLA practices.
- Enable governance-ready controls: config-driven policies/detectors (versioning/rollout/rollback), multi-tenancy (isolation/quotas), audit trails and traceable runtime signals.
- Bachelor’s degree or above in CS/Software Engineering (or equivalent experience) with 8+ years’ engineering experience, including 5+ years building and running distributed, cloud-native backend systems in production.
- Strong hands-on Python (asyncio/FastAPI) and/or Go, with deep knowledge of non-blocking I/O, async programming, and high-concurrency service design.
- Proven runtime control and performance engineering: queueing/backpressure, rate limiting/overload protection, retries/timeouts/cancellation, latency and throughput optimisation under load.
- Experience with event-driven and streaming systems plus API platforms: WebSocket/SSE/message streaming, REST/gRPC, and API gateway/platform components; strong observability (metrics/logs/traces, OpenTelemetry) and production troubleshooting (profiling, RCA).
- Cloud and platform operations: Kubernetes/Docker on AWS/GCP/Azure; operational controls such as RBAC/authN/authZ, configuration management, and audit logging; AI-native mindset and effective use of coding assistants.
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***Issued By HSBC Software Development (GuangDong) Limited***
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