Forward Deployed Engineer, Infrastructure Specialist (North America)

About the Role

Your day-to-day responsibilities will include designing and implementing deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards. You will also troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime. As part of the Cohere team, you will be working alongside talented researchers, engineers, designers, and more, who are passionate about their craft.

Cohere's mission is to scale intelligence to serve humanity, and as a Forward Deployed Engineer, you will be contributing to increasing the capabilities of Cohere's models and the value they drive for customers. You will be working in a fast-paced environment, executing on priorities and objectives that are constantly evolving.

What You Will Do

• 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 customers and 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
• Collaborate with cross-functional teams to develop and implement new features and functionality
• Develop and maintain technical documentation for deployment processes and procedures
• Stay up-to-date with industry trends and emerging technologies, applying this knowledge to improve deployment processes and solutions

What We Are Looking For

• Experience with deploying enterprise software in private/hybrid cloud environments
• Proven experience administering production Kubernetes clusters and expertise with Helm
• Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
• Strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
• Experience working directly with customers, with a strong customer-centric approach
• Ability to execute in fast-paced environments and prioritize tasks effectively
• Experience with Excel and other productivity tools
• Strong communication and collaboration skills, with the ability to work effectively in a team environment
• Bachelor's degree in Computer Science, Engineering, or a related field

Nice to Have

• Experience with AI and machine learning technologies
• Familiarity with agile development methodologies and version control systems
• Experience with IT service management frameworks, such as ITIL
• Knowledge of cybersecurity principles and practices
• Experience with data analytics and visualization tools

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a cutting-edge AI platform and contribute to its development
• Collaborative and dynamic work environment with a team of talented professionals
• Flexible work arrangements, including remote work options
• Professional development opportunities, including training and education programs
• Access to the latest technologies and tools
• Recognition and reward for outstanding performance and contributions
• Comprehensive health and dental benefits, including mental health support
• Parental leave top-up and other family-friendly benefits
• Weekly lunch stipend and in-office snacks and meals

• Be prepared to provide specific examples of your experience with cloud infrastructure and DevOps practices during the interview process.
• Highlight your ability to work effectively in a fast-paced environment and prioritize tasks to meet deadlines.
• Showcase your expertise in Excel and other productivity tools, and be prepared to provide examples of how you've used these tools to drive solutions.
• When creating your portfolio, focus on showcasing your technical skills and experience with AI and machine learning technologies.
• Don't be afraid to ask about the company culture and values during the interview process, and be prepared to discuss how you can contribute to the team's mission and goals.
• Research the company's products and services before applying, and be prepared to discuss how your skills and experience align with the company's needs.
• Be prepared to discuss your experience working with cross-functional teams and your ability to collaborate effectively with colleagues from different backgrounds and disciplines.