What is the salary range for the Sr. Site Reliability Engineer, tvScientific role at Pinterest?

The salary range for the Sr. Site Reliability Engineer, tvScientific position at Pinterest is USD 140k+/yr.

Where is the Sr. Site Reliability Engineer, tvScientific role at Pinterest located?

The Sr. Site Reliability Engineer, tvScientific position at Pinterest is based in San Francisco, CA, US; Remote, US. This is a remote position.

What experience is required for the Sr. Site Reliability Engineer, tvScientific role at Pinterest?

The Sr. Site Reliability Engineer, tvScientific position at Pinterest requires 4+ yrs exp.

What skills are required for the Sr. Site Reliability Engineer, tvScientific role at Pinterest?

Key skills for the Sr. Site Reliability Engineer, tvScientific position at Pinterest include: aws, kubernetes, aws eks, helm, terraform, ci/cd, github actions, python.

Sr. Site Reliability Engineer, tvScientific — Pinterest

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

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 Senior Site ReliabilityEngineer to help operate, scale, and continuously improve a cloud-native platform built on AWS, Kubernetes/EKS, and ArgoCD-driven GitOps workflows. This role will be instrumental in advancing the reliability, scalability, automation, observability, and operational maturity of our infrastructure and delivery ecosystem.

The ideal candidate is a highly hands-on engineer with strong production experience and a proven ability to build and support resilient platforms using infrastructure as code, automation, and modern Kubernetes operational practices.

What you’ll do:

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

What we're looking for:

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, including cluster operations, troubleshooting, workload reliability, and platform administration
Proven 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
Strong 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, resolving production issues, and driving follow-through after outages
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.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$139,764—$287,749 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Sr. Site Reliability Engineer, tvScientific

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