Senior Site Reliability Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Site Reliability Engineer in Saudi Arabia.

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.

Accountabilities

• Operate and maintain large-scale data systems and services, ensuring stability, scalability, and performance.
• Design, implement, and optimize deployment processes, leveraging virtualization and containerization.
• Monitor system health, analyze failures, and proactively identify sources of instability in complex distributed systems.
• Automate operational tasks, streamline workflows, and identify gaps in processes to improve efficiency.
• Collaborate with engineering and data teams to support their projects, remove roadblocks, and improve productivity.
• Mentor and provide guidance to peers in technical and operational best practices.
• Participate in global team collaboration asynchronously, and attend team gatherings or conferences as needed.
  
  

Requirements

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• 5+ years of experience in SRE, DevOps, operations, or software engineering roles managing production systems at scale.
• Proficiency with scripting and programming languages commonly used in SRE contexts (Python, Go, Ruby, etc.).
• Experience with configuration management and orchestration tools such as Puppet, Ansible, or Terraform.
• Strong understanding of distributed systems, data platforms, and virtualization of data and compute.
• Ability to work independently and effectively as part of a globally distributed, remote-first team.
• Excellent English communication skills, both written and verbal.
• Customer-oriented mindset, with a focus on supporting users and communities.
• Bonus: Experience with Kubernetes, Ceph, and operating large-scale data platforms.
  
  

Benefits

• Competitive U.S.-based salary range: $113,082 – $175,725 per year, adjusted for skills, experience, and location.
• Fully remote work with flexibility and autonomy.

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• Paid time off and sabbatical opportunities.
• Health coverage and reimbursement options.
• Professional development and home office stipends.
• Opportunities for global collaboration and travel to team events.
• A chance to contribute to large-scale, high-impact data infrastructure and distributed systems.
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.