Site Reliability Engineer

Job not on LinkedIn

🔥 4 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

Where this job comes from

Posted on ArangoDB's careers page, not through a job board

First seen by Remote Rocketship 4 minutes ago

Logo of ArangoDB

ArangoDB

51 - 200 employees

Founded 2015

🏥 Healthcare

📦 Logistics

💼 Consulting

💰 $27.8M Series B on 2021-10

Healthcare • Logistics • Consulting

ArangoDB is a flexible and scalable graph database platform designed for a variety of applications, particularly in a data-intensive environment like Generative AI. It supports multiple data models including graph, vector, document, full-text search, and geospatial databases, all within a single unified system. This allows developers to efficiently navigate complex data interactions and perform advanced analytics, making it ideal for sectors such as healthcare, finance, telecommunications, and more.

📋 Description

• Design, implement, and maintain cloud infrastructure on AWS and Google Cloud • 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 and resolve issues across networking, operating systems, and cloud infrastructure • Implement monitoring, logging, and alerting systems • Participate in on-call rotations and respond to production incidents • Collaborate with cross-functional teams to improve system reliability and scalability • Collaborate with Customer Success to resolve customer issues

🎯 Requirements

• 4–7 years of experience in SRE or DevOps Engineer roles in cloud-native environments • Self-organized, autonomous remote team player with strong communication skills • Experience with AWS and Google Cloud Platform • Advanced Linux internals, including processes and environment variables • Experience with Docker and Kubernetes at scale • Experience with CI/CD pipelines, including Jenkins and CircleCI • Experience with monitoring, alerting, and logging tools, including Prometheus, Grafana, and ELK stack • Git version control experience • Core networking knowledge and cloud security best practices • Systematic troubleshooting of complex infrastructure issues • Programming proficiency in Golang or Python • Experience with distributed databases or large-scale data storage systems is nice to have • Experience with Python or Bash scripting is nice to have • Experience with Terraform is a plus • Experience working with GitOps is nice to have • Strong Golang programming skills and experience developing automation tools, scripts, or services are nice to have • At least 3 years with Kubernetes in a production environment • Minimum of 3 years of experience deploying and managing production-level resources in a cloud environment • Residence in India • Availability to work 12:30 PM–9:30 PM IST (9:00 AM–6:00 PM CEST)

🏖️ Benefits

• Contributing to cutting-edge AI and data infrastructure • Collaborating with experienced engineers, marketers, and product leaders • Helping shape how enterprises build AI-powered applications

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