Related skills
azure docker aws postgresql python๐ Description
- Define long-term backend and platform architecture for enterprise AI workloads.
- Guide backend services, real-time pipelines, and platform infra for AI models.
- Directly manage 5โ10 engineers; career development and coaching.
- Lead AI strategy for applied systems; external vs internal models.
- Collaborate with research to productionize models.
- Set standards for safe, observable deployment and inference.
- Partner with product to translate strategy into execution.
- Ensure security, privacy, and reliability in AI platforms.
๐ฏ Requirements
- 7+ years designing and operating large-scale distributed systems.
- 2+ years directly managing software engineers.
- Impact beyond a single team; influence across groups.
- Deep expertise in backend systems and distributed architectures.
- Cloud ecosystems (Azure, AWS, or GCP) and Docker/Kubernetes/Helm.
- Python or similar backend languages; Rust a plus.
- Distributed databases and data platforms (PostgreSQL, CockroachDB).
- Strong architectural judgment; trade-offs at scale.
- Excellent communication; coach engineers across levels.
๐ Benefits
- Flexible hybrid/office/remote work options.
- Inclusive, diverse workplace with equal opportunities.
- Reasonable accommodations on request.
- Rolling applications; no fixed deadline.
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