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.
Imunify360 Security Suite 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. Check out our website for more information: https://www.imunify360.com/.
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.
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.
Strong fundamentals in distributed systems and cloud platform engineering are essential.
Responsibilities:
- Designing and implementing core platform components with an emphasis on reliability, scalability, and operational safety.
- Building and maintaining cloud-native infrastructure, including networking, compute, and service orchestration.
- Owning deployment workflows, warm-up processes, rollout strategies, and rollback mechanisms for production environments.
- Establishing and maintaining platform standards for monitoring, alerting, logging, and incident response.
- Developing and enforcing guardrails to reduce operational risk from abuse, misconfiguration, or traffic anomalies.
- Defining and tracking SLIs, SLOs, and KPIs related to uptime, latency, and platform health.
- Using AI-assisted engineering tools (Cursor, Claude Code, etc.) to improve development velocity and operational insight.
- Documenting architecture, operational procedures, and known failure scenarios.
Requirements
- 5+ years of experience in platform engineering, infrastructure engineering, or SRE-adjacent roles.
- 5+ years of experience with Python.
- Solid experience working with GNU/Linux and Bash / Shell scripting.
- Strong experience operating distributed systems in production.
- Hands-on expertise with at least one major cloud provider (AWS, GCP, Azure).
- Practical experience with:
- Containerization and orchestration (Docker, Kubernetes, Nomad, etc.);
- Infrastructure as Code (Terraform, Pulumi, CloudFormation);
- CI/CD systems and automated release pipelines.
- Proven ability to design for high availability, fault tolerance, and low-latency systems.
- Experience building or operating platforms with strict uptime and reliability requirements.
Nice to Have:
- Experience with Go.
- Experience with proxies, load balancers, or edge platforms.
- Background in abuse prevention, rate limiting, or reputation-based control systems.
- Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry, etc.).
Benefits
What's in it for you?
- A focus on professional development.
- Interesting and challenging projects.
- Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide.
- Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
- Compensation for private medical insurance.
- Co-working and gym/sports reimbursement.
- Budget for education.
- The opportunity to receive a reward for the most innovative idea that the company can patent.
By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (https://cloudlinux.com/candidate-privacy-notice), which provides detailed information on how we maintain and handle your data.
