Cohere

Forward Deployed Engineer, Infrastructure Specialist

Cohere5 months ago
Location

Japan

Workplace

Remote

Type

Full Time

Salary

USD 120,000 – 180,000

Level

Senior

Role

Infrastructure Specialist

Posted

Oct 27, 2025

Full TimeRemoteSenior

The role

Summary

A Forward Deployed Engineer role at Cohere focused on deploying North, the company's AI workspace platform, in enterprise environments. The position requires expertise in infrastructure deployment, cloud technologies, and customer-facing technical implementations across critical industries like finance and healthcare.

What you'll do

Enterprise Deployment: Lead end-to-end deployment of North platform in private cloud and on-premises environments, including comprehensive planning, configuration, testing, and rollout strategies
Infrastructure Assessment: Collaborate with enterprise IT teams to evaluate infrastructure, security requirements, and data management practices for seamless AI platform integration
Deployment Strategy: Design and implement customized deployment approaches that ensure compliance with data privacy and security standards across diverse enterprise environments
Technical Troubleshooting: Diagnose and resolve deployment-related technical challenges, providing rapid solutions to minimize operational disruptions

What we look for

Technical

Kubernetes AdministrationProven experience administering production Kubernetes clusters with advanced Helm deployment capabilities
Cloud InfrastructureExpert-level knowledge of cloud platforms including Azure, AWS, and Google Cloud Platform (GCP)
DevOps PracticesStrong understanding of DevOps methodologies, CI/CD pipelines, and version control using Git

Education

Computer Science/EngineeringBachelor's or Master's degree in Computer Science, Software Engineering, or related technical discipline preferred

Experience

Enterprise Software DeploymentMinimum 5+ years of experience deploying enterprise software in private and hybrid cloud environments
Customer EngagementDemonstrated track record of successful customer-facing technical implementations and support

Skills

Required skills

Cloud InfrastructureExpertise in Azure, AWS, and GCP cloud platforms
KubernetesProduction-level Kubernetes cluster administration and Helm deployment
DevOpsAdvanced CI/CD pipeline management and Git version control

Nice to have

AI InfrastructureExperience with AI platform deployments and enterprise AI integration
Security ComplianceBackground in implementing data privacy and security standards in enterprise environments

Compensation & benefits

Salary

USD 120,000 – 180,000 (annual)

Stock options

Available

Benefits

Health Benefits

Comprehensive health and dental coverage with additional mental health budget

Parental Leave

100% salary top-up for up to 6 months of parental leave

Personal Enrichment

Stipends for arts, culture, fitness, well-being, and workspace improvements

Vacation

6 weeks (30 working days) of annual vacation time

Remote Flexibility

Remote-friendly work arrangement with co-working stipend and global office locations


Interview process

  1. 1
    Initial Screening Phone or video call with recruiting team to assess background and initial fit
  2. 2
    Technical Interview In-depth discussion of cloud infrastructure, Kubernetes, and deployment experience with technical team members
  3. 3
    Infrastructure Design Challenge Practical assessment involving designing an enterprise AI platform deployment strategy
  4. 4
    Final Interview Meeting with hiring manager and potential team members to evaluate cultural fit and strategic alignment

Apply for this position

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