Senior Site Reliability Engineer

Jobgether • Saudi Arabia

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking a Senior Site Reliability Engineer to design, operate, and scale data infrastructure and distributed systems. The ideal candidate has 5+ years of experience in SRE, DevOps, operations, or software engineering roles managing production systems at scale. Proficiency in scripting and programming languages, configuration management, and orchestration tools is required.

Key Highlights

Design, operate, and scale data infrastructure and distributed systems

Manage critical systems supporting large-scale data workloads

Optimize performance and drive automation across operations

Key Responsibilities

Operate and maintain large-scale data systems and services

Design, implement, and optimize deployment processes

Monitor system health, analyze failures, and proactively identify sources of instability

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Technical Skills Required

Python Go Ruby Puppet Ansible Terraform Kubernetes Ceph

Benefits & Perks

Competitive U.S.-based salary range: $113,082 – $175,725 per year

Fully remote work with flexibility and autonomy

Paid time off and sabbatical opportunities

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Nice to Have

Experience with Kubernetes, Ceph, and operating large-scale data platforms

Job Description

We are seeking a highly skilled Senior Site Reliability Engineer to help design, operate, and scale data infrastructure and distributed systems. In this role, you will manage critical systems supporting large-scale data workloads, optimize performance, and drive automation across operations. You will collaborate with cross-functional teams, mentor peers, and proactively identify and resolve reliability challenges. The position offers opportunities to shape operational practices, improve service stability, and ensure seamless performance for users globally. Ideal candidates are experienced in cloud-native systems, Kubernetes, and large-scale data platforms, with a passion for improving reliability and operational efficiency in a dynamic, remote-first environment.

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