Site Reliability Engineer

ArangoDB

WorldwideremotePosted 1 month ago

Skill Required

Site-Reliability-EngineeringDevOps-EngineerCloud-Infrastructure-EngineerPlatform-EngineerSRE-EngineerSenior-Site-Reliability-EngineerPrincipal-Site-Reliability-EngineerSite-Reliability-Engineering-LeadSite Reliability EngineerSystem DesignBackup and RecoveryDockerObservabilityCD pipelinesGCPR ProgrammingKubernetesPrometheusnetworkingTerraformsecuritybuildingGitHub ActionsJenkinsetc.)PythonGolangdesignDevOpsArgoCDLinuxCI/CDCloudDesign PatternsFulltime

Key highlights

Remote-first position in EU Timezone
Focus on Kubernetes and cloud-native infrastructure
Requires Golang proficiency or willingness to learn
Collaborative and growth-oriented company culture

Role overview

ArangoDB is seeking a Site Reliability Engineer (SRE) to ensure the reliability, scalability, and performance of their robust, cloud-native infrastructure. The role focuses on automating, monitoring, and optimizing distributed database systems that power mission-critical applications across various industries.

Responsibilities

Design, implement, and maintain cloud infrastructure on AWS and Google Cloud platforms.
Ensure the scalability, performance, and reliability of our Kubernetes-based distributed database systems.
Collaborate with developers to write efficient, production-grade code in Golang to automate infrastructure management and improve system operations.
Optimize and automate CI/CD pipelines, deployment processes, and monitoring systems to support our production environment.
Develop strategies for disaster recovery, high availability, and fault tolerance.
Proactively identify system bottlenecks, troubleshoot, and resolve issues across the stack (network, OS, cloud infrastructure).
Implement monitoring, logging, and alerting systems to ensure visibility into system health and performance.
Participate in on-call rotations to support critical production systems and respond to incidents.
Collaborate with cross-functional teams to improve overall 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.
Proficiency with Kubernetes in managing large-scale, distributed systems.
Experience with cloud providers such as AWS and Google Cloud (GCP).
Solid understanding of networking, security practices, and troubleshooting methods.
Understanding of Linux internals (processes, environment variables etc.).
Familiarity with containerization technologies (e.g., Docker).
Knowledge of CI/CD practices and tools (Jenkins, CircleCI, etc.).
Familiarity with alerting, monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack).
Strong troubleshooting and problem-solving skills, with the ability to address complex infrastructure issues.
Excellent communication and collaboration skills with a focus on continuous improvement and operational excellence.
Strong ability to self-organize and to work independently as part of a remote team.
Knowledge of version control systems, particularly Git.
Familiarity with programming languages such as Golang or Python.

Nice to have

Experience managing distributed databases or large-scale data storage systems.
Knowledge of security best practices in cloud environments.
Experience with scripting languages like Python or Bash.
Experience with Infrastructure-as-Code (IaC) tools like Terraform is a plus.
Experience working with GitOps.
Strong programming skills in Golang, with experience in developing automation tools, scripts, or services.

Benefits

Supportive work environment where employees can grow, learn, and share knowledge.
Inclusive, growth-oriented team.
Opportunity to contribute to cutting-edge AI and data infrastructure.
Collaboration with experienced engineers, marketers, and product leaders.
Helping shape how enterprises build AI-powered applications.