Site Reliability Engineer, Inference Infrastructure at Cohere

Role overview

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.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

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.

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.
• You may be a good fit if you have:

Qualifications

• 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.
• Full-Time Employees at Cohere enjoy these Perks:
• A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
• 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.
• Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
• 6 weeks of paid vacation (30 working days!)
• Budget for traveling to other offices if you are remote, plus an annual company offsite.
• Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
• For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
• For those not near an office: a co-working benefit so you can work alongside others in your city.
• Everyone receives a $500 home office stipend to set up your workspace properly.
• We 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.

Technology in this role

• C++: C++ AWS Azure GCP Kubernetes Linux .
• AWS: C++ AWS Azure GCP Kubernetes Linux .
• Azure: C++ AWS Azure GCP Kubernetes Linux .
• GCP: C++ AWS Azure GCP Kubernetes Linux .
• Kubernetes: C++ AWS Azure GCP Kubernetes Linux .
• Linux: C++ AWS Azure GCP Kubernetes Linux .
• Go: C++ AWS Azure GCP Kubernetes Linux .
• C: C++ AWS Azure GCP Kubernetes Linux .
• Golang: • Experience in Golang, C++ or other languages designed for high-performance scalable .
• large language models: The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API .
• CAN: For those not near an office: a co-working benefit so you can work alongside others in your .

Benefits

• A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
• 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.
• Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.

About Cohere

North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.

This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.

We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.

Note: between 20 - 40% travel anticipated.

Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies

Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance

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