Full-Time

Lead Cybersecurity Engineer

Rearc

Rearc

11-50 employees

Engineering services for GenAI, data, AWS

No salary listed

Remote in USA

Remote

Category
IT & Security (1)
Required Skills
Data Lake
Python
Data Science
Apache Spark
SQL
Data Analysis
Requirements
  • 8+ 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
Responsibilities
  • 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, and Operational Technology 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
Desired Qualifications
  • Nice To Have: Prior experience with platforms like Databricks, Cribl, Tines, or other cybersecurity lakehouse providers

Rearc provides engineering-driven services to help enterprises accelerate GenAI, data platforms, and cloud development, with a focus on AWS as an Advanced Consulting Partner. Teams assess current data and AI goals and design and implement end-to-end AWS-based solutions, including data pipelines, GenAI tooling, MLOps, and security/compliance. It differentiates itself through deep engineering in the AWS ecosystem and a proven track record with regulated industries, offering bespoke, end-to-end services rather than off-the-shelf software. The goal is to enable enterprises to rapidly adopt scalable, secure GenAI and cloud platforms that drive measurable business outcomes while meeting regulatory constraints.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

New York City, New York

Founded

2016

Simplify Jobs

Simplify's Take

What believers are saying

  • Financial firms deploy proprietary LLMs, boosting MLOps demand to $15B by 2026.
  • Healthcare AI diagnostics scale under FDA 2024 guidance, needing compliance consulting.
  • Data mesh architectures standardize, requiring federated platform design services.

What critics are saying

  • AWS expands consulting, compressing Rearc margins within 6-12 months.
  • GenAI commoditization via Bedrock erodes bespoke premiums in 6-12 months.
  • Talent attrition to Accenture and Deloitte hits within 12-24 months.

What makes Rearc unique

  • Rearc specializes in bespoke LLM and MLOps for financial services enterprises.
  • Engineers from Wall Street Journal founding drive cloud-native expertise since 2016.
  • AWS Advanced Partner status enables specialized GenAI platform acceleration.

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Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Parental Leave

Professional Development Budget

Remote Work Options