Sr. Site Reliability Engineer, tvScientific

We 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.

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, 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