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 Sr. Big Data 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:
Be the thought leader in data platform and pipeline along with Risk Evaluation.
Provide technical leadership to the engineering organization on data platform design, roll out and evolution.
Liason to product teams, professional services and sales engineers on solution and trade-off reviews and represent engineering in such conversations.
Drive technology explorations and roadmaps.
Serve as a technical lead on our most demanding, cross-functional departments.
Ensure the quality of architecture and design of systems.
Functionally decompose complex problems into simple, straight-forward solutions.
Fully and completely understand system interdependencies and limitations.
Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.
Leverage knowledge of internal and industry prior art in design decisions.
Effectively research and benchmark cloud technology against other competing systems in the industry.
Able to document the details so it will be easy for developers to understand the requirements.
Assisting developers with proper requirements and directions.
Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members.
Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience.
Able to share knowledge and train others.
Qualifications:
Bachelor’s degree in computer science or equivalent
6+ years of total experience.
2+ years of relevant experience in design and architecture Big Data solutions using Spark
3+ years experience in working with engineering resources for innovation.
4+ years experience in understanding Big Data events flow pipeline.
3+ years experience in performance testing for large infrastructure.
3+ In depth experience in understanding various search solutions solr/elastic.
3+ 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.
Project management experience
Skills Required
- Bachelor's degree in computer science or equivalent
- 6+ years of total experience
- 2+ years in design and architecture of Big Data solutions using Spark
- 3+ years experience with engineering resources for innovation
- 4+ years experience understanding Big Data events flow pipeline
- 3+ years experience in performance testing for large infrastructure
- 3+ years in search solutions (Solr/Elastic)
- 3+ years experience in Kafka
- In-depth experience in Data lakes and related ecosystems
- Experience in leading large-scale systems delivery
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
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Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
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Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
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Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
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
