Site Reliability Engineer, Inference Infrastructure

Cohere; San Francisco (CA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Open and inclusive culture

Weekly lunch stipend

Full health and dental benefits

100% Parental Leave top-up

Personal enrichment benefits

Remote-flexible work

6 weeks of vacation

Job summary

A leading AI technology company in San Francisco is looking for a Site Reliability Engineer to build high-performance, scalable systems for model serving. You will collaborate with teams to deploy optimized NLP models and ensure high availability. Ideal candidates have 5+ years of experience, particularly in Kubernetes and large-scale infrastructure. The role is focused on automating services and maintaining system reliability in a fast-paced environment. The company values diversity and provides competitive benefits including 6 weeks of vacation.

Qualifications

• 5+ years of engineering experience running production infrastructure at a large scale.
• Experience designing distributed systems with Kubernetes, and GPU workloads.
• Strong understanding of distributed systems.

Responsibilities

• Build self-service systems for deploying and managing services.
• Automate environment observability and resilience.
• Ensure defined SLOs are met, including on-call rotation.

Skills

Kubernetes

GCP

AWS

Collaboration

Troubleshooting

Golang

C++

Cloud Infrastructure

Job description

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

Why this role?

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.

As a Site Reliability Engineer You Will

• 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.

You May Be a Good Fit If You Have

• 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).

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full‑Time Employees At Cohere Enjoy These Perks

• 🤝 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!)