Customer Cloud Engineer
Indexed description
Why this role exists
Customer Cloud is a critical part of Hawk’s growth. It enables customers to run Hawk AI in their own cloud environment, meeting regulatory, security, and data residency requirements.
Today, Customer Cloud relies too heavily on bespoke work. Pre-sales often requires deep engineering input, deployments take longer than they should, and operational responsibility is not evenly distributed.
We are standardising and simplifying this so Customer Cloud becomes easier to sell, faster to deploy, and simpler to operate at scale.
This role exists to help drive that shift. You will help turn Customer Cloud from a bespoke, engineer-heavy process into a standardised, repeatable product.
You will approach Customer Cloud as a platform problem, turning one-off solutions into automation, patterns, and scalable, reusable systems.
What You’ll Do
You will work across the full lifecycle of Customer Cloud environments, building the systems, automation, and patterns that make Customer Cloud easier to sell, faster to deploy, and simpler to operate at scale. You will take ownership of the systems and patterns that make Customer Cloud scalable.
Enable technical pre-sales
- Work with our Sales and Customer Success teams to help them answer technical questions during the sales process.
- Provide clear guidance on architecture, deployment approaches, and operational expectations so teams can confidently land new Customer Cloud customers.
- Turn Customer Cloud onboarding into a fast, repeatable process.
- Build automation, tooling, and deployment patterns that reduce environment setup from months to days (or even hours) and remove unnecessary manual effort.
- Design and evolve deployment patterns that ensure Customer Cloud environments are stable, observable, and easy to operate.
- Work across platforms such as AWS, GCP, Azure, OpenShift, and Tanzu to reliably run Hawk across different customer infrastructure environments.
- Partner with the Technical Support team and engineering teams to resolve complex issues, capture operational knowledge, and turn solutions into runbooks, tooling, and documentation.
- The goal is simple: reduce repeat issues and minimise day-to-day engineering involvement in support.
- We deploy new customer environments quickly and consistently
- Pre-sales questions are answered quickly using clear patterns and documentation
- Customer Cloud environments go live quickly and predictably
- Fewer incidents caused by environment inconsistencies
- Technical Support resolves most issues without engineering involvement
- Customer Cloud becomes a predictable, scalable part of the business
- Solid experience building and operating cloud-native systems
- Strong working knowledge of Kubernetes and containerised applications
- Experience with at least one major cloud provider (AWS, GCP, or Azure)
- Ability to debug and resolve issues across infrastructure and application layers
- Comfort working across build and operate, not just feature development
- Clear, structured thinking: you simplify rather than complicate
- Experience with OpenShift or VMware Tanzu
- Familiarity with data-heavy systems (e.g. OpenSearch, Kafka, databases)
- Experience supporting enterprise customers or regulated environments
- Exposure to CI/CD, infrastructure as code, and deployment automation
- We optimise for outcomes, not activity
- We build for scale, not one-off success
- We reduce complexity wherever possible
- We take ownership end-to-end
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