Site Reliability Engineer | Senior | NordVPN Apps

Nord Security is the company behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet, providing privacy, security, and control tools for millions of users globally.

• 5+ years in Systems Engineering, Site Reliability Engineering, or DevOps with system design and architecture ownership.
• 5+ years working with Linux/Debian in production.
• Proficiency in Python, Bash, and Git.
• Hands-on experience with containerization; all services are containerized.
• Production experience managing servers and services with Ansible.
• Experience with Grafana and observability tools.
• Experience building and operating GitLab CI/CD pipelines.
• Skilled at debugging across stacks and team boundaries, including code and data workflows.
• Practical understanding of server hardware failure modes without physical access.
• Excellent written and spoken English skills.
• Proactive, detail-oriented mindset with a strong appetite for complex problems.

Nice to have:

• Experience operating core services (Minio, Spark, Kafka, OpenSearch, Tableau).
• Mentoring or technical leadership experience.
• Having a HomeLab.

• Run the Infrastructure & Services layer used daily by Data Analysts, Scientists, and Engineers.
• Design, build, maintain, and document internal platforms emphasizing automation, reliability, and scalability.
• Ensure stability, availability, and security of services including Minio, Spark, Kafka, OpenSearch, and Tableau.
• Engineer systems to be resilient by design to avoid on-call rotations.
• Support Product teams' services for real-time analytics and reporting.
• Collaborate with Analysts, Scientists, and Engineers to debug queries, code, and workflows.
• Drive cost optimization and capacity planning for servers and PiB-scale storage.
• Diagnose hardware faults and coordinate remote fixes.
• Promote automation and engineering best practices through R&D.
• Help shape team structure, tooling, and future direction.

Applicants must provide accurate information during recruitment. Limited AI tool use to refine materials is acceptable, but candidates are responsible for accuracy. AI-assisted application review tools are used to support human decision-making. Candidates may contact the company regarding data privacy or opt out of automated evaluation.