Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Strategic Execution: Lead end-to-end enterprise onboarding from strategy to production rollout, serving as the system of record for customer assets, findings, and business context.
Pipeline & API Design: Build REST API, webhook, and scalable ingestion (e.g., S3-based ETL/ELT) pipelines to integrate diverse data sources (VM, EDR/XDR, Cloud, IAM, CMDBs, GRC).
Data Modeling & Correlation: Design custom mapping, transformation, tagging, and asset criticality scoring; implement de-duplication and correlation logic across heterogeneous security feeds.
Pipeline Reliability: Ensure continuous full and incremental data ingestion with automated scheduling, monitoring, and error handling.
Education: Bachelor’s or Master’s in Computer Science, Engineering, or equivalent practical experience.
Experience: 8–10 years in data engineering, platform engineering, or customer-facing technical roles.
Technical Stack:
Strong programming proficiency in Python, Go, or similar languages.
Deep experience with REST APIs, webhooks, asynchronous systems, and scalable ingestion pipelines (ETL/ELT).
Hands-on knowledge of relational, NoSQL, search, or graph databases.
Domain & Data Expertise:
Strong foundation in data modeling, normalization, transformation, and correlation.
Solid understanding of core cybersecurity domains (VM, Cloud Security, IAM, Risk Frameworks).
Hands-on application of AI or automation to optimize data pipelines and onboarding workflows.
Soft Skills: Exceptional client-facing, communication, and technical consultation skills.
