Software Engineer, SRE (Senior/Staff levels)
KustomerSalary not specified
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Enterprise Software, CybersecurityIndustries
Requirements
Candidates should have a Bachelor's degree in Computer Science or equivalent work experience. They must possess over 5 years of experience as a Site Reliability Engineer or in a similar role, focusing on maintaining high-performance, scalable, and reliable high-throughput web systems. Proficiency in Kubernetes for container orchestration, experience with cloud providers like AWS and GCP, and strong scripting skills in languages such as Python, Bash, or Go are essential. A solid understanding of infrastructure as code principles, experience with CI/CD pipelines, and excellent problem-solving and communication skills are also required.
Responsibilities
The Senior Site Reliability Engineer will manage multi-TB PostgreSQL clusters in the public cloud, optimize storage settings, and operate RabbitMQ and Redis with high throughput. They will oversee 10+ GKE clusters worldwide, adopt new technologies like Kafka and Debezium, and facilitate rollout strategies using Gitlab CI and ArgoCD. The role includes promoting best practices in Kubernetes, incident management, observability, and disaster recovery across product-engineering teams. Additionally, the SRE will automate complex infrastructure tasks using infrastructure as code and scripting.
Skills
PostgreSQL
Partitioning
Kafka
Debezium
Metrics
Canary Rollout
Query Analysis
Scalable Methods
Gorgias
AI-powered customer service for e-commerce
About Gorgias
Gorgias provides an AI-powered customer service solution tailored for Shopify stores in the e-commerce sector. Its main service automates the customer support process by sorting, prioritizing, and tagging customer inquiries, known as "tickets," as they arrive. This automation minimizes the need for manual ticket management, allowing businesses to save time and resources. Gorgias' AI can also deliver instant resolutions to customer issues, enhancing the efficiency of support operations. Additionally, the platform enables businesses to create detailed customer profiles that include order history, loyalty status, and reviews, which helps support teams offer personalized service. Gorgias operates on a subscription model, generating consistent revenue while helping businesses improve their customer service and reduce support workloads. The company caters to a diverse range of clients, from small businesses to large corporations, all within the competitive e-commerce landscape.
San Francisco, CaliforniaHeadquarters
2015Year Founded
$98.6MTotal Funding
SERIES_CCompany Stage
Consumer Software, AI & Machine LearningIndustries
201-500Employees