Qualys
SoftwareEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer at Qualys. Skills: Data Platform, SaaS, Java, Cloud. Engineering of services running data. Scaling to 100s of terabytes”
What You'll Achieve.
Support the most exciting missions in the world; Work on challenging and business-impacting projects; Achieve optimal levels of performance, reliability and sustainability; Create useful products
Industry & Context.
Problem-solving; Data-driven critical thinking; Ability to debug systems; Resolve current scaling, availability and cost-effective alternative solutions; Analytical and debugging skills
What They're Looking For.
Must Have
2+ years 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 with RDBMS systems and NoSQL databases, Proven expertise in data-driven critical thinking problem-solving, 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, analytical and debugging skills, 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., in data structures and algorithms, Ability to clearly articulate and communicate technical concepts within and across teams
Nice to Have
Built a data platform from the ground up, Experience with Big Data Hadoop stack, Experience with applying 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, Terraform and Vagrant, 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
What You'll Do.
Engineering of services running data
Scaling to 100s of terabytes
Providing data platform as service
Reviewing application architecture
Identifying data scale needs
Investigate cutting-edge technologies
Rolling out in production
Instrumenting day 1 and day 2 operations
Delivering resilient client SDKs
Hunt for better solutions
Co-develop big-data platform
High availability goals
Produce high quality software
How You'll Work.
Team & Collaboration
Working alongside a very talented team; Work closely with engineering teams; Work closely with product management; Work closely with operations; Collaborate with application teams; Provide thought leadership across multiple teams; Ensure security coding practices across multiple teams; Work together with remote pairing tools; Virtual collaboration tools for building architecture; Encourage open dialog and discourse; Don’t encourage silos; Building a diverse team; Building a sustainable, successful company
Communication Scope
Ability to clearly articulate and communicate technical concepts
Full Job Description
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! We are seeking a highly motivated and talented Software Engineer 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 data platform engineer, you will be responsible for engineering of services running data stored with millions of transactions per second, scaling to 100s of terabytes of data. You will be responsible for driving the data source and providing data platform as a service to all applications built in Qualys. You will be reviewing the application architecture and identifying the data scale needs. Investigate the cutting-edge technologies and do POC and then responsible for rolling out in production. Be the face and developer advocate of the stack you own and contribute back to open-source community if any enhancement needed to fit in Qualys ecosystem. 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, burst into cloud and scale the stack with zero or least amount of downtime. You will be responsible for delivering resilient client SDKs to the applications to communicate with the data source you are responsible for. You will be constantly in the hunt for better solutions out there to resolve the current scaling, availability and cost-effective alternative solutions. Co-develop with a strong sense
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