Drive capacity planning across CPU, memory, storage I/O, and network resources, accounting for workload growth, concurrency, background merges, and reliability requirements.
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 various applications built in Qualys.
Be the face and developer advocate of the technology 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.
Qualifications
BS/MS degree in Computer Science, Applied Math or related field.
Experience and expertise in ClickHouse as outlined earlier
5+ 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.
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
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
Experience with distributed systems like Cassandra, Redis, Elasticsearch, Kafka, Ceph, Flink, Spark or similar technologies
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.
The salary range for this position is $125,000 - $145,000 per year. Final compensation will be determined based on several factors, including but not limited to skills, relevant experience, and work location. Please note this range reflects base salary and does not include incentive compensation or potential equity grants. We also offer a comprehensive and highly competitive benefits package.
Qualys is an Equal Opportunity Employer, please see our EEO policy.
