Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
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 Principal 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 11-15+ 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
- 7+ years of relevant experience in design and architecture Big Data solutions using Spark
- 5+ years experience in working with engineering resources for innovation.
- 5+ years experience in understanding Big Data events flow pipeline.
- 5+ years experience in performance testing for large infrastructure.
- 5+ In depth experience in understanding various search solutions solr/elastic.
- 7+ years experience in Kafka
- In depth experience in Data lakes and related ecosystems.
- In depth experience of messing queue
- In depth experience in giving requirements to build a scalable architecture for Big data and Micro-services environments.
- In depth experience in understanding caching components or services
- Knowledge in Presto technology.
- Knowledge in Airflow.
- Hands-on experience in scripting and automation
- In depth understanding of RDBMS/NoSQL, Oracle , Cassandra , Kafka , Redis, Hadoop, lambda architecture, kappa , kappa ++ architectures with flink data streaming and rule engines
- Experience in working with ML models engineering and related deployment.
- Design and implement secure big data clusters to meet many compliances and regulatory requirements.
- Experience in leading the delivery of large-scale systems focused on managing the infrastructure layer of the technology stack.
- Strong experience in doing performance benchmarking testing for Big data technologies.
- Strong troubleshooting skills.
- Experience leading development life cycle process and best practices
- Experience in Big Data services administration would be added value.
- Experience with Agile Management (SCRUM, RUP, XP), OO Modeling, working on internet, UNIX, Middleware, and database related projects.
- Experience mentoring/training the engineering community on complex technical issue.
Desired Qualifications
Bachelor / Master's degree in Computer Science Engineering (M.E / M.Tech, B.E / B.Tech) and 11 to 15 years of previous experience in the job offered, or as a Principal Big Data Engineer, Lead Big Data Engineer, or a similar related role
Top Skills
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings.
The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
