Security Automation & Integration Engineer

Summary

Marlabs is a global AI and Digital Solutions Consulting firm delivering intelligent solutions across AI, data, analytics, and product engineering. The Security Automation & Integration Engineer will modernize and automate security intake and assessment processes by designing integrations, enhancing workflows, improving data quality, and supporting AI-assisted security solutions.

Responsibilities

• Design, develop, and maintain integrations between enterprise systems and work-tracking platforms to support automated security intake and triage processes
• Build and enhance workflow automation solutions for request routing, data enrichment, notifications, status updates, reporting, and operational efficiency
• Develop and support AI-assisted workflows, including prompt design, workflow orchestration, and governance controls that ensure appropriate human review
• Analyze, reconcile, cleanse, and standardize data across multiple systems while implementing validation and monitoring processes to maintain data quality
• Troubleshoot and resolve integration, automation, and workflow issues, ensuring reliable operation through monitoring, error handling, and proactive support
• Collaborate with security, engineering, and business stakeholders to define requirements, improve processes, document solutions, and deliver scalable automation capabilities

Skills

• 3+ years of experience building enterprise integrations, workflow automation, or data engineering solutions, with strong proficiency in Python or a similar scripting language
• Hands-on experience with REST APIs, including authentication methods, data exchange, error handling, rate limiting, and integration development across enterprise platforms
• Strong data management and analysis skills, including SQL, data transformation, reconciliation, normalization, data quality monitoring, and reporting
• Experience with enterprise workflow and work management platforms such as Azure DevOps, Jira, ServiceNow, or similar systems, along with version control and CI/CD practices
• Experience with cloud and automation technologies, including Azure or AWS, AI/LLM-assisted workflows, Power Automate, Logic Apps, serverless functions, or similar automation platforms
• Cybersecurity domain experience is strongly preferred

Qualifications

Must Haves

• 3+ years of experience building enterprise integrations, workflow automation, or data engineering solutions, with strong proficiency in Python or a similar scripting language
• Hands-on experience with REST APIs, including authentication methods, data exchange, error handling, rate limiting, and integration development across enterprise platforms
• Strong data management and analysis skills, including SQL, data transformation, reconciliation, normalization, data quality monitoring, and reporting
• Experience with enterprise workflow and work management platforms such as Azure DevOps, Jira, ServiceNow, or similar systems, along with version control and CI/CD practices
• Experience with cloud and automation technologies, including Azure or AWS, AI/LLM-assisted workflows, Power Automate, Logic Apps, serverless functions, or similar automation platforms

Nice to Haves

• cybersecurity domain experience is strongly preferred

Benefits

• Remote work (any location)