AI Pipeline Engineer – Security Automation Platform
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Job Description
AI Pipeline Engineer building reliable threat-intelligence automation for CloudLinux's Imunify360 security platform. Operating large-scale releases, quality gates, observability and rollback systems.
Responsibilities:
- Design, build and operate automated pipelines end to end
- Turn 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 stage, making violations visible and actionable
- Build observability layers with metrics, dashboards, alerting and health gates
- Design and implement automatic holds, rollbacks, blast-radius limits, kill switches and safe-by-default behavior
- Eliminate manual steps and reduce operational maintenance
- Write and maintain unit and integration tests for concurrency, partial failure, external API flakiness and multi-stage state
- Investigate and resolve issues across ClickHouse, GitLab CI, S3/object storage, Prometheus/Grafana and third-party APIs
- Collaborate with security analysts and the Server team on architecture and production-ready designs
- Own automated protection, progressive release, quality gates, CI at scale, LLM orchestration and observability for Imunify360's security platform
Requirements:
- 5+ years of professional backend, platform or infrastructure engineering experience
- Demonstrable experience building and operating multi-stage data or automation pipelines
- Real depth in at least one of Python, Go or Rust
- Systems design judgement and experience designing reliable production systems
- Practical experience with workflow orchestration and job scheduling
- Reliability engineering knowledge including idempotency, retries with backoff, checkpointing, resumability, graceful degradation, backpressure and partial-failure handling
- Hands-on observability experience with Prometheus/Grafana, LGTM stack or equivalent, including designing metrics
- Deep CI/CD experience, ideally GitLab CI with dynamic/child pipelines and self-hosted runners
- Comfort with Docker and container-based test environments
- Experience with S3/Ceph or equivalent object storage
- Experience with ClickHouse or another columnar database
- Comfort designing state machines and long-running processes that survive restarts
- Ability to reason about concurrency across multiple in-flight rollouts
- Excellent debugging skills across system, network and data layers
- Strong communication skills and comfort working in a distributed team
- At least upper-intermediate proficiency in spoken and written English
Benefits:
- A strong focus on professional development with opportunities for learning and growth: interesting and challenging projects, mentor and other knowledge-exchange programs
- Fully remote work with flexible working hours
- Paid 24 days of vacation per year
- 10 days of national holidays
- Unlimited sick leaves
- Compensation for private medical insurance
- Co-working reimbursement
- Gym/sports reimbursement
- Opportunity to receive a reward for the most innovative idea that the company can patent
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