The role blends hands-on engineering, cloud architecture, and customer-facing technical work. You'll collaborate with Solutions Engineering, Support, and customers directly to ensure deployments are smooth, secure, and scalable.
Responsibilities
Customer Deployment
Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments.
Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives.
Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades.
Develop and maintain our Kubernetes-based deployment (Golang, Helm) for either cloud-native or on-prem environments.
Backend Deployment Services
Build and maintain backend services (Python, TypeScript) that power the deployment lifecycle – including orchestration, provisioning, and environment management.
Develop health monitoring and deployment verification services that ensure reliable, validated deployments with minimal customer friction.
Design and improve APIs that manage customer environments, ensuring they are robust, well-documented, and easy to integrate with.
Own the reliability and performance of time-critical deployment services where latency and correctness directly affect customer experience.
Collaboration & Customer-Facing Work
Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed – sometimes during US business hours.
Strong Cloud experience with either AWS, Azure or GCP.
Solid experience with Terraform or similar Infrastructure-as-Code tools in production.
Strong experience with Python and/or TypeScript in a production backend environment.
Solid understanding of cloud networking, IAM, and storage concepts.
Experience building and maintaining backend services – APIs, async workflows, or orchestration systems.
Ability to work across languages (Python, TypeScript, Go) as needed.
Strong hands-on experience with Kubernetes.
Comfortable working directly with external customers and customer-facing teams.
Strong communication skills and ability to explain complex infrastructure concepts clearly.


















