P
Senior Site Reliability Engineer (tvScientific)
Skills
PythonAIAWSGitHubLinuxKubernetesChange ManagementTerraform
3 months ago
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Important information
Contract type:
Permanent
Salary:
$139,764 – $287,749 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
7 August 2026
What they need
- 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
- 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- 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
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- Solid scripting and automation skills using Bash and/or Python
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong troubleshooting skills across Linux, containers, IAM, networking, and distributed systems
- Experience implementing and operating ArgoCD within a GitOps delivery model
- Experience building, maintaining, or supporting CI/CD pipelines, ideally using GitHub Actions
- Demonstrated ownership mindset with experience handling incidents, resolving production issues, and driving follow-through after outages
- Strong experience with Terraform/Terragrunt for infrastructure provisioning and environment management
- 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure
- Deep expertise in Kubernetes, including cluster operations, troubleshooting, workload reliability, and platform administration
- Experience with monitoring, alerting, and observability in production environments
- Bachelor’s degree in computer science, engineering, a related field or equivalent experience
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
- Proven experience with Kubernetes multi-tenancy, including namespaces, RBAC, quotas, policies, and tenant isolation patterns
- Strong hands-on experience operating AWS in production environments
- Strong hands-on experience with Helm
- Strong collaboration and communication skills, with the ability to work effectively across engineering, security, and platform teams
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