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 Senior 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 senior 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 of ownership Qualys’ big-data platform that scales to meet/exceed the demands of processing over a 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.
Produce high quality software following good architecture and design principles that you and your team will find easy to work with in the future.
Qualifications
- BS/MS degree in Computer Science, Applied Math or related field.
- 6+ 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
- 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
- Strong 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.
- 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.
- 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.
