Site Reliability Engineer II, tvScientific @tvScientific

    15 days ago·tvScientific is hiring a remote Site Reliability Engineer II, tvScientific·📍 United States

    Overview

    tvScientific is seeking a Site Reliability Engineer II to help operate, scale, and continuously improve a cloud-native platform built on AWS and Kubernetes. The role focuses on improving infrastructure reliability and operational maturity.

    Key Responsibilities

    • Ensuring the reliability, availability, and performance of production infrastructure and platform services.
    • Operating and scaling Kubernetes platforms, including governing and supporting 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.
    • Collaborating 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 and troubleshooting.
    • Experience implementing and operating ArgoCD within a GitOps delivery model.
    • Solid scripting and automation skills using Bash and/or Python.
    • Experience with monitoring, alerting, and observability in production environments.
    • Bachelor’s degree in computer science, engineering, or a related field.
    • Demonstrated ability to improve workflows using AI.

    Benefits

    The position is eligible for equity. Specific benefits information can be found on the company’s culture page.

    Location

    Remote - US only

    How to Apply

    Interested candidates should apply through the company’s career page.

    Deadline

    US-based applicants only.

    Get jobs in your inbox

    Join over 10,000 subscribers receiving our weekly newsletter.