
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.
🕒 December 23, 2025
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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.
• 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 • Stay continually aware of emerging cybersecurity threats and trends, adapting detection strategies as needed • Collaborate with customer cybersecurity teams to cover gaps and enhance enterprise posture
• 6+ years of experience in Cybersecurity • Strong cloud, security, SIEM and data engineering fundamentals • Bachelor's degree in Management Information Systems, Computer Science, or a related field • Proven experience in documenting, socializing, and operationalizing Cybersecurity technologies and processes • Prior programming experience in Python, SQL, and Apache Spark • Demonstrated ability to work effectively across multiple teams
• Empower engineers with the best tools • Support professional development
Apply Now🕒 December 18, 2025
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