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Key ResponsibilitiesCustomer 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 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.
- 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.
- 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.
- 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.
- 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.
Skills Required
- Bachelor's or Master's in Computer Science, Engineering, or equivalent practical experience
- 8-10 years in data engineering, platform engineering, or customer-facing technical roles
- 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
- Strong foundation in data modeling, normalization, transformation, correlation, de-duplication, and tagging
- Solid understanding of core cybersecurity domains (Vulnerability Management, Cloud Security, IAM, EDR/XDR, GRC, CMDBs)
- Experience applying AI or automation to optimize data pipelines and onboarding workflows
- Exceptional client-facing, communication, and technical consultation skills
- 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, ambiguous production environments
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
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Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
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Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
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Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
