Senior Site Reliability Engineer (GIPHY)

Join GIPHY, a leading platform for sharing GIFs and stickers. As a Senior Site Reliability Engineer, you will design, build, and operate the infrastructure that powers GIPHY, ensuring reliability, scalability, and operational efficiency. You will work closely with development teams, respond to production incidents, and drive improvements based on your learnings. This role offers a hybrid work model, competitive compensation, and opportunities for personal development and growth.

• Design, build, operate, and evolve the infrastructure that powers GIPHY, including cloud environment, Kubernetes clusters, and CI/CD platforms.
• Work closely with development teams to improve reliability, scalability, and operational efficiency of systems, ensuring safe and efficient code deployment.
• Respond to production incidents, troubleshoot complex issues across the infrastructure stack, and drive improvements based on lessons learned.

• Expert-level knowledge and significant professional experience with Infrastructure as a Service (IaaS) operations and Infrastructure as Code (IaC), particularly Terraform and Atlantis
• Demonstrate a high degree of autonomy and initiative, proactively identifying areas for improvement and independently driving work around optimization, cost reduction, patching, upgrades, and technical debt
• Experience with agentic engineering and effectively applying AI-assisted development practices
• Ability to design and implement cost-effective solutions and proactively identify cost-optimization opportunities
• Proficiency in one or more programming languages, such as Python, Java, Go or Rust
• Experience with CI/CD tools such as Jenkins or Github Actions and deployment tooling such as Helm, Spinnaker and ArgoCD
• Strong systems engineering fundamentals, with deep knowledge of Linux and networking and the ability to diagnose complex reliability and performance issues across the OS, network, container, and cloud infrastructure layers
• Strong problem-solving and communication skills, and the ability to work effectively in a team environment
• Experience with observability and monitoring platforms such as Datadog and AWS CloudWatch, including diagnosing production reliability and performance issues
• Extensive experience with containerization and orchestration technologies, mainly Docker and Kubernetes
• Strong experience with operating, designing and troubleshooting AWS infrastructure, especially EKS, S3, EC2 and VPC