Site Reliability Engineer – Inference Infrastructure

🕒 January 13

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Cohere

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

📋 Description

• Build self-service systems that automate managing, deploying and operating services. • This includes our custom Kubernetes operators that support language model deployments. • Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems. • Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation. • Build strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback. • Develop our team through knowledge sharing and an active review process.

🎯 Requirements

• 5+ years of engineering experience running production infrastructure at a large scale • Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters • Experience with Kubernetes dev and production coding and support • Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving • Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments • Experience in compute/storage/network resource and cost management • Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork • The grit and adaptability to solve complex technical challenges that evolve day to day • Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference. • Strong understanding or working experience with distributed systems. • Experience in Golang, C++ or other languages designed for high-performance scalable servers).

🏖️ Benefits

• An open and inclusive culture and work environment • Work closely with a team on the cutting edge of AI research • Weekly lunch stipend, in-office lunches & snacks • Full health and dental benefits, including a separate budget to take care of your mental health • 100% Parental Leave top-up for up to 6 months • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend • 6 weeks of vacation (30 working days!)