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Salary
$41k – $89k per year (Estimated)
Location
In office (Pune)
Seniority
Architect · 8+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Qualys, Inc. is a publicly traded enterprise cybersecurity, compliance, and IT solutions provider headquartered in Foster City, California. Founded in 1999 as a pioneer in SaaS-delivered vulnerability management, the company provides the Qualys Enterprise TruRisk Platform. Its single-agent cloud architecture unifies cybersecurity asset management, vulnerability management detection and response (VMDR), patch management, web application security, policy compliance, and cloud security across hybrid IT environments, public clouds, and containers.

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Qualys is seeking a Data Platform Architect to design, scale, and support our next-generation SaaS cloud security data platform and microservices infrastructure. In this role, you will architect, prototype, and optimize high-throughput data platform components processing millions of transactions per second across relational, NoSQL, graph, and message pipeline systems.

Responsibilities:

  • Design, build, and maintain high-throughput, microservices-based SaaS cloud data platform architectures.
  • Optimize performance, high availability, security, and scalability across relational databases, NoSQL databases, search engines, graph databases, and message queues.
  • Instrument Day 1 and Day 2 operations to manage cloud platform workloads processing millions of transactions per second.
  • Review cloud-native architectures, facilitate cloud migration strategies, and maintain zero-downtime scalability.
  • Partner with engineering, product management, and operations teams to align infrastructure features with corporate business objectives.
  • Conduct technical knowledge-sharing sessions, proof-of-concept (POC) evaluations, and architectural reviews with application development teams.

Required Qualifications:

  • Minimum 8 years of experience in data platform architecture, software engineering, or enterprise big data engineering.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
  • Demonstrated experience architecting and operating distributed databases (NoSQL, Relational, Search Engines, or Graph Databases) at scale.
  • Hands-on experience designing and deploying high-throughput message pipelines and distributed streaming systems.
  • Proven experience building and scaling cloud-native SaaS architectures with high-availability requirements.

Preferred Qualifications:

  • Master's degree in Computer Science or a related technical field.
  • Direct experience managing transaction workloads operating at scale (e.g., millions of operations per second or multi-terabyte daily volumes).
  • Deep technical expertise in containerization, microservices deployment, and cloud-bursting strategies.
  • Experience conducting architectural evaluations and leading brown-bag training sessions for development teams.
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