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Cohere

Forward Deployed Engineer, Infrastructure Specialist (North America)

  • Hybrid

Salary

Not stated

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Description

The company is a security-first enterprise AI firm that builds foundation models and end-to-end products for real business problems.

It trains and deploys frontier models for enterprises building AI systems, and is a global technology company headquartered in Toronto.

The team includes researchers, engineers and designers who care deeply about their craft.

This role links the company's North AI workspace platform with client engineering teams. North lets enterprises use AI while keeping control of sensitive data, and it connects AI agents with workplace tools inside existing workflows.

You will bring AI into sectors such as finance, healthcare and telecommunications. Current clients include RBC, Dell and LG CNS.

The company is looking for engineers who care about customers and want to work on Agentic AI.

Responsibilities

  • Own the full deployment of North into private cloud and on-premises environments, from planning and configuration through testing and rollout.
  • Work with enterprise IT teams to assess infrastructure, security requirements and data management practices.
  • Design deployment strategies for each client that meet data privacy and security standards.
  • Diagnose and fix deployment issues quickly to keep downtime low.
  • Test ideas at pace without sacrificing quality, so that clients get solutions that go beyond what they expected.

Requirements

  • Experience working directly with customers, and enjoying it.
  • Experience deploying enterprise software in private or hybrid cloud environments.
  • Proven experience running production Kubernetes clusters, with strong Helm skills.
  • Familiarity with DevOps practices, CI/CD pipelines and Git.
  • Strong expertise in cloud infrastructure on Azure, AWS or GCP, plus networking and virtualization.
  • Comfort executing well when priorities and goals keep changing.

Conditions

Full-time role based in North America.

The company is remote-friendly, with offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul, and more on the way.

If you are not near an office, you get a co-working benefit to work alongside others in your city.

Everyone receives a $500 home office stipend.

The company welcomes applicants from all backgrounds and offers equal opportunities.

Benefits

  • Weekly lunch stipend of $75, or £75 in the UK, or the equivalent in your local currency.
  • Full health and dental coverage, plus a separate mental health budget.
  • RRSP matching, 401K and a pension scheme.
  • 100% parental leave top-up for up to 6 months, for either parent.
  • Annual enrichment budget for arts and culture, fitness and wellness, quality time, and a workspace improvement credit.
  • Education and learning stipend for conferences, courses and coaching.
  • 6 weeks of paid vacation, which is 30 working days.
  • Travel budget to visit other offices if you work remotely, plus an annual company offsite.
  • In the office: a daily lunch program, plenty of snacks, and regular community and social events.

Where you’d work

Part of the week in the office

You can work from

  • Canada

About the company

Cohere

  • Industry: AI

Offices in Toronto, Canada, Canada, Vancouver, Canada, Ottawa, Canada, Montreal, Canada

Also hiring in United States, San Francisco, United States and New York, United States

15 of their 21 open roles are remote

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Details11 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • AWS
  • Kubernetes
  • Azure
  • CI/CD
  • Helm
Type
Full-time
Industry
AI
Specialty
Forward Deployed
Region
Canada
Pay period
Annual
Show 5 more factsShow less

Role

Category
Solutions & Support
Specialty
Forward Deployed
Tech stack
  • AWS
  • Kubernetes
  • Azure
  • CI/CD
  • Helm

Location

Work model
Hybrid
Region
Canada
Offices
  • Toronto, Canada
  • Canada
  • Vancouver, Canada
  • Ottawa, Canada
  • Montreal, Canada
Remote from
  • Canada

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
AI

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