AI Pipeline Engineer - Security Automation Platform (Imunify360)

Imunify360 Security Suite is a product of CloudLinux Inc., providing a comprehensive security solution for shared and VPS/Dedicated servers with a six-layer approach to attack prevention. CloudLinux has over 500,000 product installations and 4,000 customers globally. The company operates fully remote with flexible hours and an open management style.

• 5+ years professional experience in backend, platform, or infrastructure engineering.
• Proven experience building and operating multi-stage data or automation pipelines (CI/CD, ETL/ELT, job orchestration, ML/data platforms).
• Deep knowledge in at least one of Python, Go, or Rust.
• Strong systems design judgment focused on correctness and reliability.
• Practical experience with workflow orchestration and job scheduling tools (e.g., Airflow, Temporal, Prefect, Dagster, Argo).
• Reliability engineering expertise including idempotency, retries, checkpointing, and graceful degradation.
• Hands-on observability experience with Prometheus/Grafana or equivalent.
• Extensive CI/CD experience, ideally with GitLab CI, including dynamic/child pipelines and containerized test environments (Docker).
• Experience with object storage (S3, Ceph) and large-scale analytical databases such as ClickHouse.
• Skilled in designing state machines and managing concurrency in long-running processes.
• Excellent debugging skills across system, network, and data layers.
• Strong communication skills and ability to work in a distributed team.
• Upper-intermediate proficiency in English (spoken and written).

Nice to have:

• Experience with progressive delivery techniques (canary releases, feature flags, automated rollback).
• Experience running AI/LLM systems in production including cost control and evaluation harnesses.
• Experience with fleet-scale telemetry and building quality gates on noisy production signals.
• Familiarity with WordPress, PHP, or WAF/ModSecurity concepts.
• Experience with configuration management tools (Ansible, Puppet, Salt) and Linux service operations.

• Design, build, and operate end-to-end automated security protection pipelines.
• Convert fragile multi-stage batch jobs into resumable, idempotent, and observable systems with explicit state machines and recovery paths.
• Define and enforce latency budgets and SLOs per pipeline stage with actionable visibility.
• Build observability layers including metrics, dashboards, alerting, and health gates.
• Design and implement guardrails such as automatic hold and rollback, blast-radius limits, kill switches, and fail-safe behaviors.
• Minimize manual interventions by eliminating manual steps and operational complexity.
• Write and maintain unit and integration tests for complex concurrency, failure, and multi-stage logic.
• Investigate and resolve issues across ClickHouse, GitLab CI, S3/object storage, Prometheus/Grafana, and third-party APIs.
• Collaborate with security analysts and server teams on architecture and production viability.