Related skills
grpc python kubernetes go vpc📋 Description
- Architectural leadership: design distributed services and control plane orchestration for AI workloads.
- System design: proposals for high-scale multi-tenant inference cloud with availability and resiliency.
- Operational excellence: lead ops strategy, define SLOs, and use observability to maintain health.
- Cross-functional collaboration: partner with PMs, TPMs, and Eng Mgmt to align roadmaps with business goals.
- Strategic growth: architecture initiatives for fleet optimization and AI-native networking.
🎯 Requirements
- Distributed systems mastery: distributed/cloud services, messaging, databases, IaC, observability, security.
- Cloud infra: networking (VPCs, LB), Kubernetes, storage (block/object/NFS); deep networking.
- AI/ML domain knowledge: Gen AI platforms, LLM hosting, inference workflows.
- Operational track record: running customer-facing, high-availability services across regions.
- Open source engagement: building with open-source software and ownership.
- Software engineering: Go or Python; gRPC for service-to-service.
🎁 Benefits
- We innovate with purpose and own impact.
- Career development resources and growth opportunities.
- Well-being programs, EAP, and flexible time off.
- Equity options and potential bonus programs.
- Remote-friendly benefits and global coverage.
- Equal-opportunity employer with inclusive culture.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!