Remote‑Flexible SRE for AI Inference Platform

Cohere; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health and dental benefits

Parental leave top-up

Remote-flexible work model

Lunch stipend and snacks

Co-working stipend

Job summary

Cohere is seeking a Site Reliability Engineer to join the Model Serving team. You will develop, deploy, and operate the AI platform delivering large language models through accessible API endpoints, partnering with multiple teams to optimize production deployments.

You will deploy high-performance NLP models in low latency, high throughput, and high availability environments, interfacing with customers for customized solutions.

Qualifications

• 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).
• Strong understanding or working experience with distributed systems.
• Experience in Golang, C++ or other languages designed for high-performance scalable servers.

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.

Skills

5+ years engineering

Kubernetes

Distributed systems

Golang

C++

Cloud platforms (GCP/AWS/Azure)

Linux

On-call experience

Performance optimization

Collaboration

Job description

Cohere is seeking a Site Reliability Engineer to join the Model Serving team. You will develop, deploy, and operate the AI platform delivering large language models through accessible API endpoints, partnering with multiple teams to optimize production deployments.

You will deploy high-performance NLP models in low latency, high throughput, and high availability environments, interfacing with customers for customized solutions.