Sr. Site Reliability Engineer, tvScientific @tvScientific

Overview

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. They are seeking a Senior Site Reliability Engineer to help operate, scale, and continuously improve a cloud-native platform built on AWS, Kubernetes/EKS, and ArgoCD-driven GitOps workflows.

Key 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.
• Driving infrastructure provisioning and change management through Terraform/Terragrunt.
• Building and supporting CI/CD automation and deployment workflows using GitHub Actions.
• Leading incident response efforts, 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.
• Deep expertise in Kubernetes, cluster operations, and platform administration.
• Proven experience with Kubernetes multi-tenancy, including namespaces and RBAC.
• Experience implementing and operating ArgoCD in a GitOps delivery model.
• Strong hands-on experience with Helm.
• Strong experience with Terraform/Terragrunt for infrastructure provisioning.
• Solid scripting and automation skills using Bash and/or Python.
• Experience building and maintaining 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.
• Bachelor’s degree in computer science, engineering, or a related field.
• Demonstrated ability to use AI to improve workflow quality and speed.
• High integrity and ownership regarding sensitive data and accountability.

Benefits

The listed base salary range for this position is $139,764 — $287,749 USD, and the position is eligible for equity.

Location

This is a remote position available to US-based applicants only.

How to Apply

Details on how to apply are not provided in the listing.

Deadline

No deadline is mentioned.