Site Reliability Engineer
Evlo AI
midpermanentdevops Minneapolis, MN Yesterday via LinkedIn
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Site Reliability EngineeringAWSKubernetesTerraformCloudFormationHelmPrometheusGrafanaDatadogCI/CDGitHub ActionsIAMObservabilityOn-callService MeshPythonGoBashRoot Cause Analysis
About the role
Role Overview
Own the availability, latency, performance, efficiency, and capacity management of core infrastructure used by millions of global users. You’ll build and maintain platform automation, CI/CD pipelines, and observability to help engineering teams ship rapidly and safely.
Responsibilities
- Design, build, and maintain production infrastructure on AWS using Terraform, Kubernetes, and Helm charts
- Manage and scale observability pipelines using Prometheus, Grafana, and Datadog for alerting and metrics
- Automate deployment workflows and CI/CD pipelines with GitHub Actions to reduce downtime
- Participate in an on-call rotation; troubleshoot incidents and perform thorough root cause analyses
- Implement security hardening, including IAM policies and cloud compliance standards
- Write infrastructure as code and internal tooling in Go or Python to reduce operational toil
Requirements
- 3–6 years of experience in SRE, DevOps, or systems engineering in high-scale environments
- Deep expertise in Kubernetes administration, containerization, and service mesh architectures
- Strong infrastructure-as-code skills, specifically Terraform and CloudFormation
- Solid programming skills in Python, Go, or Bash for automation and tooling
- Extensive AWS experience (networking, IAM, and compute fundamentals)
Bonus
- Experience migrating legacy systems to cloud-native architectures
- Contributions to open-source infrastructure projects
About Evlo AI
Evlo AI builds AI-driven products and services that operate at scale for global users. The team focuses on reliability and performance of core infrastructure, including automation, CI/CD, and observability systems.
Scraped 8/2/2026