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Salary
$27k – $73k per year (Estimated)
Location
In office (Pune)
Seniority
Staff · 7+ 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!

Description:

We are seeking a talented Lead Software Engineer to deliver roadmap features of Enterprise TruRisk Platform which would help customers to Measure, Communicate and Eliminate Cyber Risks.

Working with a team of engineers and architects, you will be responsible for prototyping, designing, developing and supporting a highly scalable, distributed SaaS based Security Risk Prioritization product.

This is a fantastic opportunity to be an integral part of a team building Qualys next generation platform using Big Data & Micro-Services based technology to process over billions of transactions data per day, leverage open-source technologies, and work on challenging and business-impacting initiatives.

Responsibilities :

  • Lead the design, development, and delivery of scalable, high-performance enterprise applications.
  • Own end-to-end technical delivery of features, ensuring quality, performance, security, and scalability requirements are met.
  • Drive architecture and design discussions for distributed and cloud-native systems.
  • Provide technical leadership through solution design reviews, code reviews, mentoring, and engineering best practices.
  • Collaborate with Product Management, QA, DevOps, Architects, and other stakeholders to translate business requirements into technical solutions.
  • Design robust and maintainable solutions that support business growth and evolving customer needs.
  • Lead troubleshooting and resolution of complex production issues, including root cause analysis and preventive actions.
  • Drive performance optimization, scalability improvements, and technical debt reduction initiatives.
  • Participate in project planning, estimation, prioritization, and release management activities.
  • Guide and mentor engineers, fostering technical growth, accountability, and a culture of continuous learning.
  • Promote engineering excellence by establishing and enforcing coding standards, design principles, and development best practices.
  • Work closely with cross-functional teams to identify risks, remove blockers, and ensure timely delivery of commitments.

Requirements:

  • Candidate having 7+ years of experience in Enterprise Application Backend
  • Strong proficiency in Java/J2ee, including Spring framework
  • Experience in designing and developing scalable, high-performance, and distributed systems.
  • Solid understanding of Microservices, Kafka, Redis, NOSQL, RESTful APIs, HTTP, Web server, etc.
  • Solid understanding of data structures and algorithms
  • Experience with SAAS based software products and solutions for service oriented deployment in public or private clouds
  • Experience with Oracle RDBMS / NoSQL database like Cassandra will be a plus
  • Experience in developing search based applications using Elasticsearch or OpenSearch
  • Experience in monitoring, logging, and troubleshooting production systems using tools such as Prometheus, Grafana,ELK, or AppDynamics.
  • Agile Development with Scrum, Waterfall, Iterative or mix of any of them based on projects
  • Experience working with large-scale data processing technologies such as Spark and Hadoop is a plus.
  • Ability to mentor junior engineers and collaborate effectively with cross-functional teams.
  • Bachelors/Masters in Computer Science or Engineering equivalents
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