Rearc

• Utilize NDR, EDR, real-time streaming, and SIEM technologies to develop robust threat detection capabilities • Build and optimize detection rules leveraging real-time data streaming to enhance detection accuracy • Design enrichment pipelines and automation workflows to enhance the precision of threat detections • Develop correlation logic and automated processes to create high-fidelity threat alerts • Build compliance and recoverability of customer Data Analytics solutions, including SOPs, data onboarding, normalization, enrichment, and system maintenance • Create automation playbooks for incident triage and response • Align detection content with customer-specific Use Case Frameworks and provide metrics on cybersecurity threats impacting their environment • Collaborate with customer cybersecurity teams to cover gaps and enhance enterprise posture • Support enterprise Cybersecurity, Information Technology (IT), and Operational Technology (OT) teams by providing dashboards and other data exploration tools • Stay continually aware of emerging cybersecurity threats and trends, adapting detection strategies as needed • Work closely with customer teams, including Cybersecurity Operations Center (CSOC), Operational Technology (OT), and Incident Response (IR) teams, to ensure detections are actionable and relevant • Provide feedback to improve the customer's security framework and overall security monitoring strategy

• Collaborate with Colleagues – Work closely with colleagues to understand customers' business objectives and technical challenges, contributing to the design and development of effective GenAI solutions tailored to client needs. • Apply GenAI Principles – Utilize modern tools and frameworks like LangGraph, to build scalable, reliable, and maintainable Compound AI systems. • Leverage your understanding of AI fundamentals to ensure every project meets rigorous industry and ethical standards. • Adapt to the latest Technologies & Patterns – continue to research, learn, and stay abreast of the most recent state of the art for AI application development. • Promote Knowledge Sharing –Bolster our culture of continuous learning by sharing knowledge about AI engineering best practices through blog posts, articles, and internal talks. Support a collaborative environment that fosters shared expertise and ongoing innovation across our community.

• 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

• Utilize NDR, EDR, real-time streaming, and SIEM technologies to develop robust threat detection capabilities. • Build and optimize detection rules leveraging real-time data streaming to enhance detection accuracy. • Design enrichment pipelines and automation workflows to enhance the precision of threat detections. • Develop correlation logic and automated processes to create high-fidelity threat alerts. • Build compliance and recoverability of customer Data Analytics solutions, including SOPs, data onboarding, normalization, enrichment, and system maintenance. • Create automation playbooks for incident triage and response. • Align detection content with customer-specific Use Case Frameworks and provide metrics on cybersecurity threats impacting their environment. • Collaborate with customer cybersecurity teams to cover gaps and enhance enterprise posture. • Support enterprise Cybersecurity, Information Technology (IT), and Operational Technology (OT) teams by providing dashboards and other data exploration tools. • Stay continually aware of emerging cybersecurity threats and trends, adapting detection strategies as needed. • Work closely with customer teams, including Cybersecurity Operations Center (CSOC), Operational Technology (OT), and Incident Response (IR) teams, to ensure detections are actionable and relevant. • Provide feedback to improve the customer's security framework and overall security monitoring strategy.

• Utilize NDR, EDR, real-time streaming, and SIEM technologies to develop robust threat detection capabilities • Build and optimize detection rules leveraging real-time data streaming to enhance detection accuracy • Design enrichment pipelines and automation workflows to enhance the precision of threat detections • Develop correlation logic and automated processes to create high-fidelity threat alerts • Build compliance and recoverability of customer Data Analytics solutions, including SOPs, data onboarding, normalization, enrichment, and system maintenance • Create automation playbooks for incident triage and response • Align detection content with customer-specific Use Case Frameworks and provide metrics on cybersecurity threats impacting their environment • Collaborate with customer cybersecurity teams to cover gaps and enhance enterprise posture • Support enterprise Cybersecurity, Information Technology (IT), and Operational Technology (OT) teams by providing dashboards and other data exploration tools • Stay continually aware of emerging cybersecurity threats and trends, adapting detection strategies as needed • Work closely with customer teams, including Cybersecurity Operations Center (CSOC), Operational Technology (OT), and Incident Response (IR) teams, to ensure detections are actionable and relevant • Provide feedback to improve the customer's security framework and overall security monitoring strategy

• Establish and maintain technical excellence within the data engineering team • Design and implement robust data solutions aligning with business objectives • Drive data-driven initiatives and ensure successful delivery • Lead by example, combining strong technical execution with mentorship • Engage with stakeholders to understand data needs and technical constraints • Implement with a DataOps mindset, building reliable and efficient data pipelines • Mentor and develop data engineers, contributing to knowledge sharing and thought leadership