Senior SRE: Multi-Cloud Reliability & AI-Driven Ops

Satsuma; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Unlimited PTO

401(K)

Healthcare Stipend

Gym stipend

Job summary

Satsuma is hiring a Senior SRE to own the reliability, scalability, and operational posture of its multi-cloud infrastructure. You’ll keep systems running, build preventative tooling, and make on-call less painful.

This is an infra-first role with an emphasis on AI-assisted development to automate runbooks and internal utilities. You will manage infrastructure across AWS, GCP, and Azure, build CI/CD and observability stacks, and define SLOs/SLIs.

Qualifications

• 5-8 years in SRE, DevOps, or infrastructure engineering.
• Hands-on experience across at least two major cloud providers.
• Strong Kubernetes, Terraform, and observability tooling (Datadog, Grafana, or equivalent).
• Comfortable reading and editing code; able to ship scripts and internal tools.
• Experience with AI-assisted development (Claude Code, Copilot).
• On-call maturity – owned incidents end-to-end and improved systems afterward.

Responsibilities

• Own infrastructure across AWS, GCP, and Azure environments.
• Build and maintain CI/CD pipelines, observability stacks, and incident response workflows.
• Define and enforce SLOs/SLIs; lead postmortems.
• Author and maintain IaC (Terraform preferred).
• Write internal tooling and automation using AI-assisted development workflows.
• Partner closely with engineering on reliability reviews and architecture decisions.

Skills

SRE

DevOps

Cloud engineering

On-call ownership

Tools

Kubernetes

Terraform

Datadog

Grafana

Job description

Satsuma is hiring a Senior SRE to own the reliability, scalability, and operational posture of its multi-cloud infrastructure. You’ll keep systems running, build preventative tooling, and make on-call less painful.

This is an infra-first role with an emphasis on AI-assisted development to automate runbooks and internal utilities. You will manage infrastructure across AWS, GCP, and Azure, build CI/CD and observability stacks, and define SLOs/SLIs.