Architect Software Engineer

Data Platform Architect: 

We are seeking a highly motivated and talented Data Platform Architect to work on Qualys’ next-generation data platform and middleware. Working alongside a very talented team of engineers and architects, you will be responsible for prototyping, designing, developing and supporting a highly scalable SaaS based cloud security data platform. This is a great opportunity to be an integral part of a team building Qualys’ next generation microservices based technology platform processing over a 100 million transactions and terabytes of data per day, leverage open-source technologies, and work on challenging and business-impacting projects. 
  
Responsibilities  
  
As a platform architect, you will be responsible for the availability and scalability of Qualys’s relational and NoSQL databases, search engines, graph databases, caches, big data systems and message pipelines. This at the scale of a million transactions per second in NoSQL databases, across trillions of datapoints in the search engine, billions of messages per day flowing through the message pipelines and scaling 100s of terabytes of data in relational databases all with sub-second latencies. 

Responsible for driving the data source and providing data platform as a service to all applications built in Qualys.  

You will be part of the architecture review board reviewing applications’ architecture and identifying the data scale needs. Investigate the cutting-edge technologies, do POC, and then be responsible for defining the guidelines for using the data technologies at scale. Be the face and developer advocate of the stack you own and contribute back to open-source community if any enhancement is needed to fit in the Qualys ecosystem. 

Applying Machine Learning and AI technologies to improve the availability and performance of data platform services while keeping the operational costs down. 

Conduct brown bag sessions with application development teams to share guidelines, POC findings and industry trends. 

You will be instrumenting both day 1 and day 2 operations on these data technologies, keeping the 100s of thousands if not millions of operations per second. Migrate or burst into cloud and scale the stack with zero downtime. 

You will also be responsible for reviewing the cloud-native architecture of data platform technologies. 

You will be constantly in the hunt for better solutions out there to resolve the current issues with scale, availability, and costs across cloud platforms. 

 Co-develop with a strong sense of ownership, Qualys’ big-data platform that scales to meet/exceed the demands of processing over 100 million transactions and terabytes of data per day. 

Architecture, performance, scalability, high availability, and security will be your primary goals for delivering a first-rate experience to our customers. 

 
Work closely with engineering teams, product management and operations to provide platform and infrastructure features and components to support Qualys’ business objectives. 

A day in the life…  

• Apply advanced concepts, theories, and principles to create multi-disciplinary innovations and solutions for the most complex or risky data source related situations  

• Contribute to the development of new data platform principles and concepts 

• Collaborate with and suggest best practices to application teams in Qualys  

• Provide thought leadership across multiple teams to ensure that systems and services are designed, and operating to achieve optimal levels of performance, reliability and sustainability interacting with data platform in Qualys  

• Ensure security coding practices and security system fundamentals across multiple teams  

• Demonstrate ability to identify important areas to instrument across multiple teams  

 Who you are...    

• A trendsetter. You thrive in an intellectually challenging environment with leading edge technologies.  

• A teacher. You’re able to mentor your peers and help our team grow.  

• A learner. You have an insatiable thirst for knowledge and greater understanding.  

• A pragmatist. Your goal is to create useful products, not build technology for technology’s sake.  

• An empath. You understand what the customer needs and use that perspective to create the best user experience. 

 How we work...   

• With others. We have remote pairing tools where engineers often work together, as well as virtual collaboration tools for building architecture solutions.  

• With transparency. We encourage open dialog and discourse. We don’t encourage silos.  

• With agility. We don’t believe in following a process for the sake of the process. We ship frequently and focus on delivering incremental value.  

• With open minds. We are committed to building a diverse team of people with unique perspectives. This encourages a healthy and inclusive environment that builds a more sustainable, successful company.  

• With pride. We value our people most of all. We invest in ourselves by applying our own strengths and interests to company needs.  

 Qualifications    

• BS/MS degree in Computer Science or related field. 

• 12+ years of hands-on experience with developing SaaS-based software products and solutions for service-oriented deployments in public (AWS, GCP, Azure, OCI, etc.) or private clouds. 

• Prior experience as a lead engineer or architect. 

• Prior experience with RDBMS systems and NoSQL databases.  

• Proven expertise in data-driven critical thinking problem-solving 

• Ability to debug systems of software and people  

• Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs)  

• Demonstrated passion for innovation with an ability to work within agile software development methodologies  

• Experience with infrastructure orchestration and automation tools (Terraform)  

• Hands-on experience using CI/CD pipelines  

• Data platform design / build utilizing Cassandra, Redis, Elasticsearch, Kafka, Ceph, Flink, Spark or similar technologies  

• Java programming skills including object-oriented design, prototyping, development, testing, profiling, etc.  

• Knowledge of JVM concepts like garbage collection, heap, stack, profiling, class loading, etc.  

• Strong in data structures and algorithms.  

• Ability to clearly articulate and communicate technical concepts within and across teams.  

• Knowledge of the below is a plus  

• Built a data platform from the ground up is a huge plus. 

• Contributions to any open-source technologies 

• Experience with data encryption and data security standards. 

• Experience with container and orchestration technologies such as Docker, Kubernetes, etc.   

• Experience with monitoring tools such as Graphite, Grafana, and Prometheus.   

• Experience with HashiCorp technologies such as Consul, Vault, and Terraform. 

• Experience with configuration management tools such as Chef, Puppet, or Ansible.   

• In-depth experience with continuous integration and continuous deployment pipelines.   

• Exposure to Maven, Ant or Gradle for builds.