Lead Software Engineer

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

This is a great opportunity to be an integral part of a team building Qualys next generation Micro-Services based technology platform processing over a Billion transactions and terabytes of data per day, leverage open source technologies, and work on challenging and business-impacting projects.

Responsibilities:

As a Lead Big Data Engineer, you will be responsible for developing a cutting-edge, scalable application which is being used by millions of customers worldwide. This position offers you an opportunity to work with world-class engineers and build resilient features to support next generation of Asset Management product in the cloud. The work involves complete ownership from a delivery perspective, including design, architecture, development, operations, and end-to-end support/maintenance of our systems. You will become the face of the team from a feature standpoint on all technical aspects. You will be responsible for guiding and mentoring other talented engineers on your team on highly complex projects and responsible for hiring new engineers/interns.

Requirements:

• Excellent programming and designing skills with 8+ years of hands-on experience in Java back-end development and skills with Spring-boot framework.
• Should be able to independently design moderate to a complex modules with solid code quality
• Understand data structures and algorithms
• Innovative thinker and adept at building high-performance application
• Messaging middleware using Kafka .
• Strong Java programming skills including object-oriented design, prototyping, development, testing, profiling, etc.
• Knowledge of Docker, Kubernetes, Jenkins, and related CI/CD tools
• Ability and skill to debug & solve complex issues in a high-performing environment
• 5+ years of relevant experience in design and architecture Big Data solutions using Spark
• 3+ years experience in working with engineering resources for innovation.
• 5+ years experience in understanding Big Data events flow pipeline.
• In depth experience in Data lakes and related ecosystems.
• In depth experience in giving requirements to build a scalable architecture for Big data and Micro-services environments.
• Knowledge in Presto technology.
• Knowledge in Airflow.
• In depth understanding of RDBMS/NoSQL, Oracle , Cassandra , Kafka , Redis, Hadoop, lambda architecture, kappa , kappa ++ architectures with flink data streaming and rule engines