Staff Cloud Operations Engineer

Slide is a security-first Business Continuity and Disaster Recovery company serving Managed Service Providers. The Staff Cloud Operations Engineer will design and operate cloud, infrastructure-as-code, delivery pipeline, data center, and storage systems, while improving reliability through automation, observability, incident leadership, and engineering standards.

Responsibilities:

• Product platforms. Build declarative cloud foundations (cells and zones, data stores, identity, images) so Engineering can ship without waiting on custom infrastructure each time
• Faster, safer delivery. Make the path from code to image to production automated, reviewable and safe: Packer and CI image builds, Terraform with gated applies, merge queues and branch protection, and predictable deploys of tagged releases
• Self-service. Turn repeated requests (DNS, access, repo and environment scaffolding, certificates) into infrastructure-as-code and CI/CD, so Infra multiplies the team instead of becoming its queue
• Data center and cloud storage fleet. Run the fleet behind Slide's cloud storage as we add sites and carriers. Lifecycle, networking, storage and observability should run on playbooks, not heroics
• AI-driven operations. We're a small team by design and an AI-forward company. You'll use AI to speed up how we build, operate and troubleshoot infrastructure, from writing and reviewing IaC to triaging alerts and automating runbooks, so a few engineers can do the work of many
• Own architecture decisions for our data center and cloud infrastructure, and help shape the roadmap
• Build the monitoring, logging and alerting that let us find problems before customers do
• Lead the hardest incidents and the follow-up work that keeps them from coming back
• Review infrastructure code, set the standards and mentor the engineers around you
• Work alongside engineers and peer teams across the company. We're growing fast, so you'll pitch in wherever infrastructure can unblock the work

Requirements:

• 5-10 years in infrastructure, cloud operations, SRE or a related role, including time operating production systems at scale
• You've shipped Terraform or Ansible and operated what you built
• You know how images and artifacts, CI, gated applies and deploys, and dev, staging and production environments fit together
• When the abstraction leaks, you can work on real hosts over SSH, serial console or out-of-band management
• You have hands-on experience with public clouds (GCP, AWS, etc.), including networking, IAM, managed data stores and compute fleets
• You connect metrics to alerts to runbooks, and you build alerts that point to where the failure actually is
• You work through pull requests and well-documented systems, and you're comfortable collaborating asynchronously on a hybrid team
• You already use AI tools to work faster, and you're eager to bring them into how we run infrastructure