Own and improve the reliability, availability, and performance of production systems while defining and operationalizing SLIs/SLOs and error budgets.
Design and implement autonomous and semi-autonomous AI agents for monitoring distributed systems and applications. Build agents capable of consuming multi-source observability data (metrics, logs, traces, etc.).
Participate in and help lead an on-call rotation, serving as an escalation point for major incidents and facilitating blameless postmortems.
Build automated workflows to eliminate manual work and design/maintain Infrastructure-as-Code with Terraform.
Improve metrics, logs, traces, and alerting using tools like Datadog or Prometheus to reduce noise and increase signal.
Partner with application teams to implement reliability best practices and mentor junior engineers to foster a culture of knowledge sharing.
Requirements
5+ years in SRE, DevOps, Platform Engineering, or Infrastructure Engineering.
Proven experience supporting production SaaS systems in Azure (preferred), AWS, or GCP.
Strong Linux, networking, and distributed systems troubleshooting skills.
Strong experience with containers and orchestration (Kubernetes/EKS/AKS).
Expertise with Infrastructure-as-Code (Terraform strongly preferred).
Strong scripting/programming skills in Python, Go, Bash, or C#/.NET.
Hands-on experience with Datadog, Prometheus/Grafana, or OpenTelemetry.
Tech Stack
AWS
Azure
Distributed Systems
Google Cloud Platform
Grafana
Kubernetes
Linux
Prometheus
Python
Terraform
Go
.NET
Benefits
Flexible vacation
12 company-paid holidays
10 paid sick days
No work on your birthday
Health, dental, and vision Insurance (including a $0 option)