Senior SRE: Scale Global Kubernetes & Cloud Reliability

Shutterstock, Inc; Dublin; On-site; EUR 95,000 - 150,000; Full time

Job summary

GIPHY seeks a seasoned Site Reliability Engineer to design, operate, and scale its cloud and Kubernetes-driven infrastructure within Shutterstock’s ecosystem. You will partner with development teams to improve reliability, incident response, and deployment safety

The role emphasizes IaC, multi-region Kubernetes, cost optimization, and AI-assisted engineering, with strong focus on Docker, AWS (EKS/S3/EC2/VPC), and observability tooling.

Qualifications

• Expert-level knowledge and extensive experience with IaaS operations and Infrastructure as Code (IaC), especially Terraform and Atlantis.
• Strong background in containerization/orchestration (Docker, Kubernetes).
• Deep AWS experience (EKS, S3, EC2, VPC) and cost-optimization skills.
• Solid Linux and networking fundamentals; diagnose complex reliability issues.
• Proficiency in Python, Java, Go or Rust and CI/CD tooling (Jenkins, Github Actions).
• Experience with deployment tooling (Helm, Spinnaker, ArgoCD) and observability (Datadog, CloudWatch).
• Exposure to agentic/AI-assisted development practices and strong communication.

Responsibilities

• Operate and evolve GIPHY’s cloud and CDN presence for reliability and scalability.
• Improve CI/CD pipeline and deployment reliability across teams.
• Design multi-region Kubernetes clusters and improve existing environments.
• Troubleshoot complex production issues across OS, network, container, and cloud layers.
• Collaborate with engineering to drive AI-assisted engineering initiatives and efficiency.

Job description

GIPHY seeks a seasoned Site Reliability Engineer to design, operate, and scale its cloud and Kubernetes-driven infrastructure within Shutterstock’s ecosystem. You will partner with development teams to improve reliability, incident response, and deployment safety

The role emphasizes IaC, multi-region Kubernetes, cost optimization, and AI-assisted engineering, with strong focus on Docker, AWS (EKS/S3/EC2/VPC), and observability tooling.