Description

You will build and automate security data pipelines and infrastructure.

Responsibilities

• Build and extend Python ETL processes for high-value intelligence feeds (APIs, dumps, snapshots).
• Stand up reproducible lab pipelines using containers and Infrastructure as Code (IaC) with integrated CI/CD and security testing.
• Normalize Threat Intelligence (TI) schemas (IOCs, TTPs, CVEs) and implement data enrichment logic.
• Automate triage and scoring of intelligence into research backlogs and publish resulting artifacts for analysts.
• Deliver an internal analyst SDK/CLI, along with necessary runbooks and documentation.

Required Skills

• 5+ years experience using Python for security or data engineering, including async IO, typing, and testing.
• Proficiency with containers (Docker) and IaC tools (Terraform).
• Experience implementing CI/CD pipelines (GitHub Actions/GitLab).
• Familiarity with secrets management practices.
• Experience handling security telemetry, threat intel feeds, and TI schemas (STIX/TAXII).
• Knowledge of data pipeline tooling (Airflow/Dagster/Prefect) and message queues (Kafka/Redis).
• Strong commitment to code quality, including linting, unit/integration tests, and SBOM generation.

Key Skills

Education

Any Gradute