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Maharashtra, India
Onsite
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
You will get to team up with incredibly talented and highly motivated engineers and architects innovating the next generation of Qualys Technology Platform processing over one hundred million transactions and terabytes of data per day.
As a part of this team, you will be working in a fast-paced environment prototyping, designing, developing, and supporting a highly scalable SaaS-based cloud security platform.
We leverage open-source technologies to solve challenging problems aligned with the enterprise security business needs
You will be working on groundbreaking ideas and innovations which will be translated into products as features or new products themselves.
Research, prototype and develop solutions to innovate and improve Qualys’ technology platform.
Design and implement distributed, scalable, high-performance micro service-based applications
Produce high-quality software with a scalable architecture and design principles
Write unit/integration tests for your code
Document your code, design and provide solutions
Strong problem solving, analytical and communication skills
Excellent programming and designing skills in Java with minimum 2+ years of professional experience developing applications using Spring Boot / micro-services.
Strong backend development expertise in Python for building scalable services and APIs
Good understanding of relational databases and/or NoSQL DB, preferably Cassandra, Elasticsearch
Professional experience working on indexing technology like Elastic Search and caching technologies like Redis or Memcached
Good understanding of data structures and algorithms, application design.
Professional experience developing software using micro services oriented architecture.
Bachelor or Masters degree in Computer Science
Professional experience with Jenkins, and Kubernetes
Experience in building Splunk applications, including data ingestion, dashboards, and analytics use cases