Cyber Security Automation & AI Engineer

Lifescale Analytics is a company that helps achieve data-driven decisions by leveraging strategic technologies. They are seeking a Cyber Security Automation & AI Engineer to support their cybersecurity risk team by automating workflows, building predictive models, and extracting insights from complex datasets.

Responsibilities:

• Seeking expertise to support our cybersecurity risk team by streamlining processes, improving risk detection, and enhancing decision-making through data-driven solutions. This role focuses on automating workflows, building predictive models, and extracting actionable insights from complex security and risk datasets
• Solution Design & Development: Create, configure, and deploy automated systems combining AI, ML, RPA bots, Microsoft Power Tools, Databricks, and Splunk to support real-time or near-real-time risk monitoring
• Process Analysis: Analyze large, complex datasets (e.g., logs, vulnerability scans, threat intelligence) to uncover patterns and anomalies. Understand and analyze repetitive, time-consuming business processes to determine recommended automation solution using Postal tools
• Technical Implementation: Write and update code, build custom scripts, integrate AI models into existing infrastructure like Splunk, Databricks, ServiceNow, and Microsoft Power Tools to automate manual risk assessment and reporting processes and improve efficiency and accuracy. Build dashboards and visualizations to communicate insights to technical and non-technical stakeholders
• Maintenance & Troubleshooting: Monitor and optimize automation performance, troubleshoot errors, and ensure system scalability
• Collaboration: Collaborate with cybersecurity analysts, engineers, and stakeholders to translate business needs into data solutions

Requirements:

• 5+ years of experience in all the following requirements:
• Proficiency in multiple scripting / coding languages, and API use
• Experience with Microsoft Power Tools, GRC tools, Databricks, Splunk, SharePoint, ServiceNow ticket generation, Okta automation, cloud platforms (AWS, GCP, Azure), AI/ML libraries, database administration, and low-code/no-code tools
• Ability to analyze large datasets, leveraging multiple tools, to uncover patterns for process optimization
• Ability to analyze and troubleshoot complex data ingestion and parsing issues
• Knowledge of Business Process Management (BPM) and workflow optimization
• Exposure to network security or cybersecurity
• Bachelor's degree in Computer Science, IT, a related field, or equivalent experience
• Pass a client mandated clearance process to include drug screening, criminal history check and credit check
• Candidates cannot have more than 6 months travel outside the United States within the last five years
• The enforced dress code is business casual
• Experience with an RPA (Robotic Process Automation) platform is a plus