Site Reliability Engineer

Arango•,

7d•Remote

About The Position

At ArangoDB, we are building a robust, cloud-native infrastructure to support our distributed database systems, which power mission-critical applications for a wide range of industries. We are searching for a Site Reliability Engineer (SRE) to ensure the reliability, scalability, and performance of our infrastructure and applications, with a focus on automation, monitoring, and optimizing cloud environments. As a Site Reliability Engineer (SRE), you will be responsible for maintaining and improving the reliability of our distributed database systems running on Kubernetes and cloud environments (AWS, Google Cloud). You will design, implement, and maintain scalable infrastructure solutions, improve and expand observability into these solutions, and troubleshoot complex system issues. It is expected that you will come to work to write clean and efficient code in Golang, working closely with development teams Your goal is to ensure high availability and performance of our cloud-based systems, automating repetitive tasks, and enhancing our CI/CD pipelines. If you're passionate about building resilient systems, managing cloud infrastructure, and using Golang to create scalable solutions (or willingness to learn Golang), we want to hear from you!

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 Haves

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.

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.