Lead Forward Deployed Engineer

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! The **Lead Forward Deployed Engineer** operates at the intersection of engineering, data, and customer deployment. In this hands-on, customer-facing role, you will lead complex enterprise onboardings to integrate, transform, and operationalize cybersecurity data into Qualys’ Enterprise TruRisk Management (ETM) platform. You will translate fragmented security environments into a unified risk model while bridging the gap between customer needs and core product engineering. Key Responsibilities -------------------- ### Customer Onboarding & Data Integration * **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. ### Data Quality & Validation * **Data Integrity:** Establish scalable validation frameworks to audit and maintain asset/findings accuracy for confident risk decision-making. * **Issue Resolution:** Execute controlled reprocessing and configuration adjustments to fix data quality issues without disrupting operational metrics. ### Dashboards, Remediation & Workflows * **Analytics & Modeling:** Build customized dashboards, trend visualizations, and risk scoring models, including complex "toxic risk combination" scenarios. * **Workflow Automation:** Integrate ETM with ticketing/remediation tools (Jira, ServiceNow) and configure automated alerts, escalations, and ownership mapping. * **Executive Reporting:** Develop custom reports/utilities using public APIs for board-level, operational, and regulatory audiences. ### Product & Engineering Feedback Loop * **Roadmap Influence:** Translate field deployment challenges and recurring integration gaps into technical requirements for product and core engineering teams. * **Customer Maturity:** Guide enterprises from initial risk visibility to automated, remediation-driven action. ### Required Qualifications: * **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. ### Preferred Qualifications: * Background in Forward Deployed Engineering, Solutions Engineering, or Technical Professional Services. * Familiarity with large-scale, distributed systems and microservices architectures. * Proven ability to thrive in high-impact, fast-paced, and ambiguous production environments.