Senior Python Developer (worldwide remote, work anywhere)

CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful.

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Imunify360 Security Suite is a product of CloudLinux Inc., the maker of the #1 OS in security and stability for hosting providers. Imunify is an innovative security solution designed specifically for shared and VPS/Dedicated servers. The automated, easy-to-use solution with the six-layer approach to security delivers comprehensive and complete attack prevention.

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Check out our website for more information about our Imunify360 Product https://www.imunify360.com/

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We are looking for a Senior Python Developer to join our Imunify360 Email team , which is building a smart, automated email protection system designed to ensure clean outbound traffic and preserve IP reputation for hosting providers.

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In this role, you will help design, build, and operate a centralized platform that serves as a secure and reliable entry point for outgoing email traffic. You will work across infrastructure, deployment pipelines, reliability, and operational tooling, ensuring the platform is safe to run, easy to evolve, and resilient under real-world traffic and abuse conditions.

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Strong fundamentals in distributed systems and cloud platform engineering are essential.

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Responsibilities

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• Design and implement core platform components with an emphasis on reliability, scalability, and operational safety.
• Build and maintain cloud-native infrastructure, including networking, compute, and service orchestration.
• Own deployment workflows, warm-up processes, rollout strategies, and rollback mechanisms for production environments.
• Establish and maintain platform standards for monitoring, alerting, logging, and incident response.
• Develop and enforce guardrails to reduce operational risk from abuse, misconfiguration, or traffic anomalies.
• Define and track SLIs, SLOs, and KPIs related to uptime, latency, and platform health.
• Use AI-assisted engineering tools (Cursor, Claude Code, etc.) to improve development velocity and operational insight.
• Document architecture, operational procedures, and known failure scenarios.