# Site Reliability Engineer II, tvScientific

**Company**: tvScientific
**Location**: San Francisco, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $114,297-$235,319 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/7782538?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2b082534-ef8

## Description

We are seeking a Site Reliability Engineer to help operate, scale, and continuously improve a cloud-native platform built on AWS, Kubernetes/EKS, and ArgoCD-driven GitOps workflows.

The ideal candidate is a hands-on engineer with solid production experience and a strong foundation in building and supporting resilient platforms using infrastructure as code, automation, and modern Kubernetes operational practices.

Responsibilities:

- 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

## Skills

### Required
- AWS
- Kubernetes
- ArgoCD
- Helm
- Terraform
- Terragrunt
- GitHub Actions
- Python
- Bash
- Linux
- containers
- IAM
- networking
- distributed systems
- monitoring
- alerting
- observability

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/7782538?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)