Cybersecurity Engineer

🕒 March 10

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Rearc

51 - 200 employees

🤖 Artificial Intelligence

Artificial Intelligence • Cloud

Rearc is a boutique, engineering-driven services firm specializing in cloud, data, and generative AI solutions. They are known for their innovation and engineering delivery excellence, empowering small teams to achieve significant results and foster creativity. Rearc offers services such as GenAI quickstart, secure data collaboration, data platform foundation, and cloud platform engineering. Their services are comprehensive and adaptable to meet the specific needs of their clients. Rearc has expertise in building foundational data platform capabilities, cloud governance, and the use of AWS products.

📋 Description

• Collaborate with Rearc customers to design detection strategies • Support the development of modern cybersecurity monitoring programs • Craft tailored security detections leveraging SIEM, SOAR, EDR, and NDR services • Develop robust threat detection capabilities using NDR, EDR, SIEM • Optimize detection rules using real-time data streaming • Design enrichment pipelines and automation workflows • Develop correlation logic for high-fidelity threat alerts • Build compliance and recoverability of Data Analytics solutions • Create automation playbooks for incident triage and response • Align detection content with customer-specific Use Case Frameworks • Collaborate with customer cybersecurity teams to enhance enterprise posture • Stay aware of emerging cybersecurity threats and trends

🎯 Requirements

• 6+ years of experience in Cybersecurity with a focus on: • Log streaming • Cybersecurity data lakes and data warehousing • SOAR engineering • SIEM engineering, administration, architecture, and operations • Data science, statistical analysis, and threat detection development • Integrating disparate IT, OT, and business applications into SIEM systems • Bachelor's degree in Management Information Systems, Computer Science, or a related field • A strong passion for Cybersecurity and a commitment to staying current with industry trends, best practices, and tools • Proven experience in documenting, socializing, and operationalizing Cybersecurity technologies and processes • Prior programming experience in Python, SQL, and Apache Spark • Solid understanding of common attack techniques and their practical applications • Demonstrated ability to work effectively across multiple teams, building cross-functional relationships with individuals of varying technical expertise • A self-starter with a proven ability to thrive in fast-paced environments • Strong technical communication skills, both written and verbal • Nice To Have: Prior experience with platforms like Databricks, Cribl, Tines, or other cybersecurity lakehouse providers

🏖️ Benefits

• Empower engineers with the best tools possible to make an impact • Foster creativity • No bureaucracy • Encourage to challenge status quo

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