Backed by Sequoia.
About the role
We're looking for an Infrastructure Engineer to own the customer deployment lifecycle for our enterprise-grade AI data platform. You'll architect, provision, upgrade, and operate Rowspace inside our customers' own cloud environments, where large volumes of sensitive financial data are handled under strict security and compliance requirements, including real-time correlation of public data with private, tenant-isolated customer data at scale.
What they're looking for
- 4+ years of experience in infrastructure or platform engineering, including deploying and operating production systems in customer-controlled cloud environments
- Deep experience with AWS, GCP, or Azure, plus Kubernetes, containers, and infrastructure-as-code
- Strong distributed-systems fundamentals and experience scaling compute-intensive, asynchronous workloads
- Strong operational instincts across observability, reliability, incident response, and cost-performance optimization
- Ability to work directly with enterprise stakeholders, from platform engineers to CISOs, and turn ambiguous infrastructure conversations into actionable plans
- Startup mentality with the ability to move fast while building robust, scalable systems
More about this role
We're looking for an Infrastructure Engineer to own the customer deployment lifecycle for our enterprise-grade AI data platform. You'll architect, provision, upgrade, and operate Rowspace inside our customers' own cloud environments, where large volumes of sensitive financial data are handled under strict security and compliance requirements, including real-time correlation of public data with private, tenant-isolated customer data at scale.
Design and automate deployments in customer-controlled environments, including networking, Kubernetes, IAM, DNS, key management, and infrastructure-as-code.
Own customer deployments end to end: from technical scoping and initial provisioning through upgrades, scaling, incident response, and ongoing reliability.
Scale the compute and orchestration platform that powers agent workloads and high-volume data processing, ensuring jobs are scheduled efficiently and remain reliable, observable, and cost-effective under growing demand.
Build the next generation of Rowspace’s deployment platform, adding secure, out-of-the-box deployment options across Databricks, Azure Marketplace, and other enterprise platforms.
Work with customer platform, security,...
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