Senior Site Reliability Engineer, Gorgias

• Experience with cloud-native web systems at scale
• Bachelor's degree in Computer Science or equivalent work experience
• 5+ years experience as a Site Reliability Engineer or similar role, with a focus on maintaining high-performance, scalable, and reliable high-throughput web systems
• Proficiency in using Kubernetes for container orchestration and management
• 5+ years experience with Cloud Providers (AWS, GCP) and a deep understanding of cloud services and architectures
• Proficient in scripting and programming languages such as Python, Bash, Go, or NodeJS
• Comfortable and confident in Linux systems and the command line
• Solid understanding of infrastructure as code (IaC) principles and experience with tools like Terraform
• Experience with continuous integration and deployment (CI/CD) pipelines
• Excellent problem-solving and troubleshooting skills
• Strong communication and collaboration skills with the ability to work effectively in a team environment

Desirable

• We are seeking a highly skilled and experienced Senior Site Reliability Engineer (SRE) to join our team. As an SRE at Gorgias, you will play a crucial role in ensuring the reliability, scalability, and performance of our systems, enabling the seamless delivery of our products and services
• The SRE team at Gorgias maintains the core infrastructure and services that make up the heart of our product. We have the privilege to work with high throughput systems and TB-scale data stores serving billions of queries per day, most with sub millisecond response times
• We also design and maintain the software delivery stack, offering features such as metrics-based canary rollout strategies to all internal development teams
• We currently have a team of 9 Senior and Staff SREs operating together globally with aim to be 12 in the near term. We focus on scalable methods to provide the largest impact across the organization
• Manage multi-TB PostgreSQL clusters in the public cloud, optimize parameters, storage settings and data structure
• Operate RabbitMQ and Redis with tens of thousands of operations per second
• Manage 10+ full featured GKE clusters worldwide, 10k+ Tenants
• Adopt new stack of: Kafka, Debezium, Apache Flink
• Facilitate rollout strategies at scale with Gitlab CI and ArgoCD
• Roll out best practices around Kubernetes/Helm/Operators, SLIs/SLOs, Incident Management, Observability, Security, and Disaster Recovery to all Product-Engineering teams and drive adoption by them
• Automate complex infrastructure pieces for our worldwide footprint with best practices IaC with TF, strong scripting with Python/Golang