Job Description

We are seeking a talented Engineering Manager to help build Enterprise TruRisk Platform from ground-up 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 great opportunity to be an integral part of a team building Qualys next generation Micro-Services based technology platform processing along with Big Data technologies over billions of transactions data per day, leverage open-source technologies, and work on challenging and business-impacting projects.

Responsibilities:

• You will be Designing and developing Security Product in the cloud from ground-up.
• Produce high quality software following good architecture and design principles that you and your team will find easy to work with in the future.
• You will be working towards the framework towards data ingestion, normalization enrichment and risk evaluation pipeline.
• Working with big data technologies like KAFKA, Spark, Hadoop, Elastic and Micro Services 
• Working & managing teams and engineers to achieve certain needs.
• Working with multiple teams to have cross function dependencies resolution.
• Researching and implementing code design, adoption of new technologies and skills.
• You'll create high-performance Restful APIs to be consumed by external partners.
• You will be building highly scalable services that interacts with Qualys Enterprise TruRisk Platform.

Qualifications:

• Bachelors/Masters/Doctorate in Computer Science or equivalent
• 15+ years of JAVA development experience with Microservices architecture.
• 5+ years of experience with Hadoop and Spark.
• 5+ years of experience in Kafka
• 3+ years of experience in Microservices.
• Prior experience in creating scalable data ingestion pipeline.
• 4+ years of experience in people management
• Experience in Streaming processing
• Experience is how to get data in parsed format mapped to common data model
• Strong logical skills for code design and implementation.
• Writing high-performance, reliable and maintainable code.
• Experience in designing, developing and delivering scalable solutions.
• Good knowledge of SQL, advanced data structures, design patterns, object-oriented principles.
• Experience with API, SDKs and third-party integration.
• Should be well versed with Java 7 / 8 and Scala.
• Solid understanding of RDBMS preferably Oracle.