Site Reliability Engineer
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Job Description
Site Reliability Engineer maintaining Kubernetes and cloud infrastructure for Arango’s contextual AI data platform. Automating operations, observability, CI/CD, and reliability for enterprise AI systems.
Responsibilities:
- Design, implement, and maintain cloud infrastructure on AWS and Google Cloud platforms
- Ensure scalability, performance, and reliability of Kubernetes-based distributed database systems
- Collaborate with developers to write production-grade Golang code for infrastructure automation and system operations
- Optimize and automate CI/CD pipelines, deployment processes, and monitoring systems
- Develop disaster recovery, high availability, and fault-tolerance strategies
- Identify system bottlenecks and troubleshoot issues across networking, operating systems, and cloud infrastructure
- Implement monitoring, logging, and alerting systems for system health and performance visibility
- Participate in on-call rotations and respond to production incidents
- Collaborate with cross-functional teams to improve system reliability and scalability
- Collaborate with the Customer Success team to resolve customer issues
Requirements:
- Proven experience as an SRE or DevOps Engineer in a cloud-native environment
- Minimum 3 years of Kubernetes experience in a production environment
- Minimum 3 years of experience deploying and managing production-level cloud resources
- Proficiency with Kubernetes for large-scale distributed systems
- Experience with AWS and Google Cloud (GCP)
- Understanding of networking, security practices, troubleshooting methods, and Linux internals
- Familiarity with Docker and containerization technologies
- Knowledge of CI/CD practices and tools such as Jenkins and CircleCI
- Familiarity with monitoring, alerting, and observability tools such as Prometheus, Grafana, and ELK stack
- Knowledge of version control systems, particularly Git
- Familiarity with Golang or Python; willingness and capability to learn and apply Golang accepted
- Ability to self-organize and work independently as part of a remote team
- Experience managing distributed databases or large-scale data storage systems is a plus
- Knowledge of cloud security best practices is a plus
- Experience with Python or Bash scripting is a plus
- Terraform/IaC experience is a plus
- GitOps experience is a plus
- Strong Golang programming skills and automation-tool development experience are a plus
Benefits:
- Remote work
- Collaboration with experienced engineers, marketers, and product leaders
- Opportunity to contribute to cutting-edge AI and data infrastructure
- Opportunity to help shape how enterprises build AI-powered applications
- Inclusive, growth-oriented team environment
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