Site Reliability Engineer II

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🔥 0 minutes ago

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Zigsaw

11 - 50 employees

Founded 2016

Making Job-search and talent discovery simpler, faster and effective for Job-seekers.

📋 Description

• Ensuring the reliability, availability, and performance of production infrastructure and platform services • Operating and scaling Kubernetes platforms, including governance and support for multi-tenant workloads • Managing GitOps-based deployment workflows using ArgoCD and Helm • Supporting infrastructure provisioning and change management through Terraform/Terragrunt • Building and supporting CI/CD automation and deployment workflows using GitHub Actions • Participating in incident response, root cause analysis, and post-incident improvement initiatives • Reducing operational toil through scripting, tooling, and process automation • Advancing observability practices across logs, metrics, traces, dashboards, and alerting • Supporting secure secrets integration, IAM-aware operations, and platform guardrails • Partnering closely with application, security, and platform teams to improve reliability and delivery outcomes

🎯 Requirements

• 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure • Strong hands-on experience operating AWS in production environments • Good expertise in Kubernetes, including cluster operations, troubleshooting, workload reliability, and platform administration • Experience with Kubernetes multi-tenancy, including namespaces, RBAC, quotas, policies, and tenant isolation patterns • Experience implementing and operating ArgoCD within a GitOps delivery model • Strong hands-on experience with Helm • Experience with Terraform/Terragrunt for infrastructure provisioning and environment management • Solid scripting and automation skills using Bash and/or Python • Experience building, maintaining, or supporting CI/CD pipelines, ideally using GitHub Actions • Strong troubleshooting skills across Linux, containers, IAM, networking, and distributed systems • Experience with monitoring, alerting, and observability in production environments • Demonstrated ownership mindset with experience handling incidents and resolving production issues • Strong collaboration and communication skills, with the ability to work effectively across engineering, security, and platform teams • Bachelor’s degree in computer science, engineering, a related field or equivalent experience • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review) • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

🏖️ Benefits

• Information regarding the culture at Pinterest and benefits available for this position can be found [here](https://www.pinterestcareers.com/pinterest-life/)

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