Responsibilities of the Role

Scanning Infrastructure:

• Work with Product Management to determine internal Service Level Objectives (SLOs) representing the long-term health of the scanning system (both infrastructure and application).
• Build and maintain metric collection that can feed Service Level Indicators (SLIs) to guarantee SLOs.
• Build and maintain dashboards displaying SLIs, SLOs, and other key metrics indicating the health of the application.
• Investigate cases where the scanning infrastructure or application is not performing as desired, provide guidance to the development team for improvements, and develop additional metric collection/alerting as needed.
• Identify application/deployment configuration optimizations for best use of resources and impending resource gaps.
• Work closely with DevOps to maintain and improve custom Kubernetes-based application deployment operators.
• Identify and fix automation gaps to reduce operational toil.

Data Platform:

• Ensure the reliability and performance of the data platform, including data warehouses (Elasticsearch, ClickHouse, ScyllaDB, PostgreSQL).
• Manage and optimize data processing pipelines using Apache Spark.
• Work with messaging queues such as Apache Kafka, RabbitMQ, and Redis to ensure seamless data flow and processing.
• Develop and maintain metric collection, monitoring, and alerting for the data platform.
• Build and maintain dashboards displaying key metrics for data platform health and performance.
• Collaborate with data engineering teams to troubleshoot and resolve issues related to data storage, processing, and messaging.
• Implement best practices for data platform security, scalability, and performance.

Qualifications of the Role

Required Qualifications:

• Passion for "digging deep" and looking for "weird things" in the system that could indicate pending issues not captured in monitoring.
• Experience with one or more metrics collection tools (managed and self-hosted): Prometheus, DataDog, InfluxDB, Telegraph, VictoriaMetrics.
• Experience or desire to build visualization dashboards.
• Experience with deployment of applications within a Kubernetes environment (preferably) or containerization (Docker, etc).
• Experience with data warehouses (Elasticsearch, ClickHouse, ScyllaDB, PostgreSQL).
• Experience with data processing pipelines using Apache Spark.
• Experience with messaging queues such as Apache Kafka, RabbitMQ, and Redis.

Preferred Qualifications:

• Ideally, experience with Kubernetes administration and custom operators.
• Ideally, experience with Python.
• Experience with network and vulnerability scanning tools a huge plus (nmap, zmap, masscan, nuclei, burp, NESSUS, etc).
• Familiarity with the network stack and operating system tuning: TCP/IP, conntrack, NAT, etc.

Additional Commentary

Why should you join Recorded Future?

Recorded Future employees (or "Futurists"), represent over 40 nationalities and embody our core values of having high standards, practicing inclusion, and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.8-star user rating from Gartner and more than 45 of the Fortune 100 companies as clients.

Want more info?

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We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences, backgrounds and lifestyles. By ensuring all feel included and respected for being unique and bringing their whole selves to work, Recorded Future is made a better place every day.

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Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race, religion, color, national origin, gender including pregnancy, sexual orientation, gender identity, age, marital status, veteran status, disability or any other characteristic protected by law.

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Recorded Future will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Recorded Future, including those sent to our employees or through our website, will become the property of Recorded Future. Recorded Future will not be liable for any fees related to unsolicited resumes.

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