Senior Site Reliability Engineer/Cloud Platform Engineer

About the role

Skyflow secures the flow of data across datastores, models, and agents. Enterprises turn to Skyflow as their runtime AI data control layer to protect sensitive data, enable safe AI deployment, and unlock full value from their applications, data platforms, and AI systems.

Skyflow is trusted by Fortune 500 enterprises, and leading SaaS companies in financial services, healthcare, retail, travel and hospitality.

Skyflow is headquartered in Palo Alto, California and was founded in 2019. For more information, visit www.skyflow.com http://www.skyflow.com or follow on X https://twitter.com/SkyflowAPI and LinkedIn https://www.linkedin.com/company/skyflow/.

About the role

We're looking for a Platform Engineer to help build and run the infrastructure that powers a multi-tenant, security-sensitive B2B cloud product used by enterprise customers around the world. Our platform spans multi-tenant environments and single-tenant (BYOC) deployments into customer cloud accounts, so the bar for automation, consistency, and reliability is high every environment needs to be provisioned, upgraded, monitored, and recovered the same way, at scale, with minimal manual intervention.

This is a hands-on engineering role, not a ticket-queue ops role. You'll spend most of your time writing Go and Python to turn repeatable infrastructure work into platform capabilities provisioning pipelines, internal CLIs, self-service tooling, and automation that lets the rest of engineering ship without waiting on infrastructure as a bottleneck. You'll also carry deep operational ownership: on-call, incident response, and root-cause analysis on the systems you build.

Collaborate with enterprise customers to understand their infrastructure and security needs, then build reusable, scalable solutions using Terraform, Helm, and self-service tools that can be standardized across customer environments with minimal customization.

You have:

- 8+ years of experience in platform engineering, infrastructure engineering, DevOps, or SRE roles, with real ownership of production cloud infrastructure.

- Strong software engineering skills in Go and/or Python you write tested, maintainable code and think of infrastructure automation as software, not scripting.

- Deep hands-on experience with Kubernetes in production (workload scheduling, networking, autoscaling, upgrades) and Infrastructure-as-Code tooling such as Terraform, Pulumi, or OpenTofu.

- Solid experience with at least one major public cloud (AWS or GCP or Azure); experience operating in all the three is a strong plus given our multi-cloud footprint.

- Track record of building tools or platforms that other engineers use internal CLIs, provisioning frameworks, self-service portals, or automation pipelines not just maintaining existing infrastructure.

- Comfort operating in a B2B environment with enterprise customers, where infrastructure changes carry compliance, security, and contractual weight (e.g. dedicated/BYOC deployments, uptime SLAs, audit requirements).