Site Reliability Engineer, Inference Infrastructure

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for a Site Reliability Engineer to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs.

Responsibilities

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

Weekly lunch stipend of $75/£75 or equivalent in your local currency; Full health and dental benefits, including a separate budget for mental health; RRSP matching, 401K, Pension Scheme; 100% Parental Leave top-up for up to 6 months, for either parent; Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit; Education & learning stipend for conferences, courses, and coaching; 6 weeks of paid vacation (30 working days); Budget for traveling to other offices if you are remote, plus an annual company offsite; Daily lunch program, plenty of snacks, and regular community and social events for those in the office; Co-working benefit for those not near an office; $500 home office stipend