Staff Site Reliability Engineer
New
F
FinalsiteEdTech SaaS
100% Remote - Anywhere within the USFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- At least 10 years of experience as a Staff SRE or senior-level infrastructure engineer supporting production systems at scale
- Required Skills
- AWSKubernetesCI/CDTerraform
Requirements
- Have at least 10 years of experience as a Staff SRE or senior-level infrastructure engineer supporting production systems at scale.
- Bring strong expertise in AWS and GCP cloud platforms.
- Have familiarity with queue-based or event-driven architectures and autoscaling technologies.
- Have experience designing and improving CI/CD infrastructure and deployment automation.
- Bring hands-on Kubernetes operations experience, including scalability and workload reliability.
- Have experience with observability tools, monitoring strategies, and incident management practices.
- Be proficient with Terraform or comparable Infrastructure-as-Code tools.
- Have experience using AI-assisted development tools such as Claude Code, Codex, or similar technologies.
- Preferred: experience supporting platform modernization or large-scale migrations, multi-tenant SaaS environments, or modern SRE practices.
- Preferred: familiarity with Ruby/Rails or Python deployment environments and experience in EdTech, SaaS, or highly available production environments.
Responsibilities
- Design, improve, and maintain scalable CI/CD pipelines and deployment processes.
- Establish reliable staging and development environments aligned with production standards.
- Build and manage monitoring, alerting, dashboards, and SLO frameworks.
- Partner with engineering teams on platform modernization and infrastructure reliability.
- Drive Infrastructure-as-Code standards and multi-cloud operational consistency across AWS and GCP.
- Provide technical leadership on infrastructure architecture, reliability, and operational best practices.
- Support incident response, system reliability, and operational readiness initiatives.
- Use AI-assisted development tools to support infrastructure analysis and improvement.
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