via LinkedIn
$120K - 160K a year
Develop and maintain Python-based security data pipelines and tooling, implement CI/CD and security tests, normalize threat intelligence data, automate triage and scoring, and collaborate across teams.
5+ years Python for security/data engineering, experience with containers, IaC, CI/CD, security telemetry, threat intel feeds, data pipeline tools, and strong code quality practices.
Title: Security DevOps Engineer - Remote Location: Remote Duration: 4 Months Job Description Summary: Contract Security DevOps Engineer with deep Python and cybersecurity experience to build and harden data pipelines and tooling for Client Zero Labs threat intelligence platform. Key Responsibilities: • Build/extend Python ETL for high-value intel feeds (APIs, dumps, snapshots). • Stand up reproducible lab pipelines (containers, IaC) with CI/CD and security tests. • Normalize TI schema (IOCs, TTPs, CVEs) and implement enrichment (actor, family, asset criticality). • Automate triage/scoring into research backlogs; publish artifacts for analysts. • Deliver an internal analyst SDK/CLI (search, pivot, tag, export) plus runbooks and handoff docs. • Collaborate with Core Eng, SecOps, Data, and Legal/Compliance. Required Qualifications: • 5+ years Python for security/data engineering (async IO, typing, packaging, testing). • Containers/IaC (Docker, Terraform), CI/CD (GitHub Actions/GitLab), secrets mgmt. • Experience with security telemetry, threat intel feeds, and TI schemas (STIX/TAXII helpful). • Data pipeline tooling (Airflow/Dagster/Prefect) and message queues (Kafka/Redis). • Strong code quality habits (linting, unit/integration tests, SBOM, reviews).
This job posting was last updated on 12/1/2025