Forward Deployed Engineer, Infrastructure Specialist

Infrastructure Specialist · Senior · Full Time · Remote

Japan · RemoteUSD 120k – 180k9mo ago
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Role

What you'll do.

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.

Responsibilities

  • 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

Qualifications

What we look for.

Technical

  • Kubernetes Administration

    Proven experience administering production Kubernetes clusters with advanced Helm deployment capabilities

  • Cloud Infrastructure

    Expert-level knowledge of cloud platforms including Azure, AWS, and Google Cloud Platform (GCP)

  • DevOps Practices

    Strong understanding of DevOps methodologies, CI/CD pipelines, and version control using Git

Education

  • Computer Science/Engineering

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

Experience

  • Enterprise Software Deployment

    Minimum 5+ years of experience deploying enterprise software in private and hybrid cloud environments

  • Customer Engagement

    Demonstrated track record of successful customer-facing technical implementations and support

Skills

Required

  • Cloud Infrastructure

    Expertise in Azure, AWS, and GCP cloud platforms

  • Kubernetes

    Production-level Kubernetes cluster administration and Helm deployment

  • DevOps

    Advanced CI/CD pipeline management and Git version control

Preferred

  • AI Infrastructure

    Nice to have

    Experience with AI platform deployments and enterprise AI integration

  • Security Compliance

    Nice to have

    Background in implementing data privacy and security standards in enterprise environments

Tech stack

Languages

Python

Frameworks

KubernetesHelm

Databases

Cloud Databases

Tools

GitCI/CD Tools

Other

Cloud Platforms

Compensation

Pay and benefits.

Base·USD 120,000 – 180,000

Equity·Stock options

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

Process

Interview steps.

  1. 01

    Initial Screening

    Phone or video call with recruiting team to assess background and initial fit

  2. 02

    Technical Interview

    In-depth discussion of cloud infrastructure, Kubernetes, and deployment experience with technical team members

  3. 03

    Infrastructure Design Challenge

    Practical assessment involving designing an enterprise AI platform deployment strategy

  4. 04

    Final Interview

    Meeting with hiring manager and potential team members to evaluate cultural fit and strategic alignment

Full posting

Original listing.

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.

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. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

About North:

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.

Why This Role?

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. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.

We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.

Note: between 20 - 40% travel anticipated

In this role, you will:

  • Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.

  • Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.

  • Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations

  • Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.

  • Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.

You may be a good fit if:

  • You have experience with and enjoy working directly with customers

  • You have experience deploying enterprise software in private/hybrid cloud environments

  • You have proven experience administering production Kubernetes clusters and expertise with Helm

  • Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control

  • You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization

  • You excel in fast-paced environments and can execute while priorities and objectives are a moving target

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!)

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