Site Reliability Engineer II, tvScientific

Pinterest•San Francisco, CA

1d•$114,297 - $235,319•Onsite

About The Position

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. 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. This role will contribute to improving the reliability, scalability, automation, observability, and operational maturity of our infrastructure and delivery ecosystem. 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.

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

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