Lead Forward Deployed Engineer

QLYS_IN Qualys Security TechServices Private Ltd.; Pune District; On-site; INR 500,000 - 900,000; Full time

Job summary

Qualys Security TechServices Private Ltd. in Pune seeks a Lead Forward Deployed Engineer to join a hands-on, customer-facing team that integrates cybersecurity data into Qualys ETM.

You will bridge engineering, data, and deployment to deliver enterprise onboarding from strategy to production rollout. You will design data models, build REST APIs and ingestion pipelines, and create dashboards for risk scoring and remediation workflows, collaborating with product and engineering to influence

Qualifications

• Bachelor’s or Master’s in CS 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.
• Domain & Data Expertise: 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.

Responsibilities

• Customer Onboarding & Data Integration
• Lead end-to-end enterprise onboarding from strategy to production rollout.
• Build REST API, webhook, and scalable ingestion pipelines to integrate diverse data sources.
• Design custom mapping, transformation, tagging, and asset criticality scoring; implement de-duplication and correlation logic.
• Ensure continuous data ingestion with automated scheduling, monitoring, and error handling.
• Establish scalable validation frameworks to audit data accuracy for risk decisions.
• Execute reprocessing and configuration adjustments to fix data quality issues without disruption.
• Build dashboards, trend visualizations, and risk scoring models for executives and operators.
• Integrate ETM with Jira/ServiceNow and configure automated alerts and ownership mapping.
• Develop reports using public APIs for board-level and regulatory audiences.
• Translate deployment challenges into technical requirements for product/engineering teams.
• Guide enterprises from initial risk visibility to automated remediation actions.

Skills

Python

Go

REST APIs

ETL/ELT

Data Modeling

Databases (SQL/NoSQL)

Data pipelines

Education

Bachelor’s or Master’s in Computer Science or equivalent

Tools

Jira

ServiceNow

Job description

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.

Join our talent community and receive the latest Qualys news, content, and be first in line for new job opportunities. Join our Talent Community! 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.