Forward Deployed Engineer, Infrastructure Specialist (Europe/Middle East)

Cohere

España

On-site

PHP 4,914,004 - 7,371,007

Full time

14 days+
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Benefits offered by this job

Open and inclusive culture
Cutting-edge AI research environment
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits
Parental Leave top-up for up to 6 months
Personal enrichment benefits
Remote-flexible work
6 weeks of vacation

Job summary

Cohere is seeking engineers in Romblon, España, to lead the deployment of their North AI workspace platform in private cloud and on-premises environments. The ideal candidate will have experience in deploying enterprise software, managing production Kubernetes clusters, and working directly with customers to solve complex problems. The role emphasizes innovation and customer satisfaction at the intersection of AI and enterprise solutions, offering numerous perks including remote flexibility and comprehensive benefits.

Qualifications

  • Experience deploying enterprise software in private/hybrid cloud environments.
  • Proven experience administering production Kubernetes clusters.
  • Strong expertise in cloud infrastructure, networking, and virtualization.

Responsibilities

  • Lead end-to-end deployment of North in private cloud and on-premises environments.
  • Partner with enterprise IT teams to assess infrastructure and security requirements.
  • Troubleshoot and resolve deployment-related technical issues.

Skills

Customer engagement
Enterprise software deployment
Production Kubernetes administration
DevOps practices
Cloud infrastructure expertise (Azure, AWS, GCP)
Networking
Virtualization

Tools

Kubernetes
Helm
Git

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.

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.

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.

Perks for Full-Time Employees
  • 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
  • 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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