Q

Qualys

Cloud-based vulnerability management and compliance platform

Lead Data & AI Engineer

Full-Time
No salary listed
Senior, Expert
Bachelor's
Pune, Maharashtra, India
In Person
Data & AnalyticsData Engineering

About the job

Requirements
  • 7–12+ years of hands-on data engineering experience, including at least 2–3 years building enterprise AI solutions.
  • Strong experience with enterprise data architectures, data lakes or lakehouses, semantic layers, data pipelines, governance, and AI-ready data foundations.
  • Deep expertise in at least one modern cloud data platform, such as Snowflake, Databricks, Delta Lake, or Apache Iceberg.
  • Strong expertise in Python, backend development, application programming interfaces, system integration, and workflow orchestration.
  • Hands-on production experience with generative artificial intelligence or large language model applications, including retrieval-augmented generation pipelines, large language model API integration, agentic workflows, natural-language-to-SQL, or large language model evaluation frameworks.
  • Hands-on cloud infrastructure experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
  • Experience building batch or streaming pipelines at meaningful scale, including multi-terabyte daily volumes or higher.
  • Solid understanding of data modelling, including dimensional modelling, medallion architecture, and data vault, with the ability to select the appropriate pattern for each use case.
  • Experience with data governance, role-based access control, row-level security, column masking, and lineage tracking in a multi-source enterprise environment.
  • Strong Structured Query Language, including query optimization, performance tuning, and large-scale analytical workloads.
  • Ability to communicate technical strategy clearly to non-technical stakeholders and leadership, and experience making the business case for data platform investments.
  • Bachelor of Engineering, Bachelor of Technology, or Master of Computer Applications degree, preferably in Computer Science, Information Technology, or a related field.
Responsibilities
  • Architect and build an enterprise data lake or lakehouse from scratch, including ingestion, storage, transformation, serving, and governance layers, on a modern cloud platform such as Snowflake or Databricks.
  • Design and implement a medallion architecture with Bronze, Silver, and Gold layers for structured, semi-structured, and unstructured data across multiple business domains.
  • Build scalable and reliable batch and streaming data pipelines to ingest data from enterprise applications and product source systems.
  • Define and enforce data quality frameworks, data contracts, and service-level agreements across ingestion and transformation layers.
  • Implement data governance, lineage tracking, and metadata management so that every data asset is discoverable, trusted, and auditable.
  • Design and manage lake access control, including role-based access control, row-level security, and column-level security, while harmonizing identity and entitlements across enterprise source systems.
  • Own the data lake platform evaluation and produce a recommendation covering cost, governance, AI readiness, and operational overhead.
  • Build AI-powered applications on the data platform, including natural-language interfaces to enterprise data, retrieval-augmented-generation intelligent search, automated reporting, and workflow agents.
  • Integrate large language model APIs, including OpenAI, Anthropic Claude, or Amazon Bedrock, into production data workflows and business-facing applications.
  • Assess and recommend AI use cases across business functions and build or enable the supporting data infrastructure.
  • Evaluate build-versus-buy decisions for AI capabilities and advise leadership on platform and tooling choices.
  • Collaborate with business and enterprise application teams to identify and deliver high-impact data and AI use cases.
  • Develop reusable data frameworks, engineering standards, and best practices, and mentor junior data engineers.
Desired Qualifications
  • Experience integrating enterprise applications as data sources into a data lake or lakehouse.
  • Experience integrating AI into enterprise applications and business workflows.
  • Experience building reusable AI frameworks, accelerators, or enterprise AI platforms.
  • Experience with vector databases, embeddings, semantic search, and advanced retrieval-augmented-generation architectures.
  • Experience with real-time or near-real-time streaming technologies.
  • Familiarity with dbt for transformation-layer engineering.
  • Experience with data cataloguing and lineage tools.
  • Prior experience in a product or Software as a Service company, cybersecurity, or a high-growth technology environment.

About the company

Qualys provides cloud-based cybersecurity and compliance solutions to secure IT infrastructure for enterprises, SMBs, and government. Its main products include vulnerability management, policy compliance, web application security, and IT asset management, delivered via the Qualys Cloud Platform that continuously monitors environments. The platform collects data from agents and sensors, runs automated checks, enforces policies, and generates real-time compliance reports. It differentiates with real-time analytics, automated workflows, and scalable cloud architecture, offering a unified security and compliance ecosystem to manage risk across on-premises, cloud, and hybrid environments.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Redwood City, California

Founded

1999

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Simplify's Take

What believers are saying

  • Q2 2026 revenue rose 11% to $182.2 million, and guidance rose to $738 million.
  • Channel revenue grew 22% in Q2 2026, now supplying 54% of revenue.
  • Qualys repurchased $76.8 million of stock, while free cash flow hit $55.9 million.

What critics are saying

  • Second-half current billings growth is only 7%–8%, signaling a deceleration after Q2.
  • Recent CISO and ETM general manager departures forced August 2026 leadership reshuffling.
  • Microsoft and CrowdStrike bundles can absorb Qualys’ AI-native remediation features by 2027.

What makes Qualys unique

  • Qualys Cloud Platform unifies VMDR, CSPM, patching, and asset inventory in one workflow.
  • InstaScan and Agentic AI turn disclosed vulnerabilities into minutes-old findings on August 4, 2026.
  • FedRAMP High TotalCloud and CSAI Foundation membership strengthen federal and enterprise credibility.

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Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

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1 year growth

3%

2 year growth

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