Developer / AI Automation Engineer

Company Description

Careful Security delivers full-service cybersecurity and compliance implementation powered by Dashr.ai, a patent-pending security intelligence platform. The company focuses on fully implementing security programs and getting clients audit-ready within 90 days at a fixed price and guaranteed timeline. Services include policy development, penetration testing, SIEM setup, control implementation, evidence collection through Dashr.ai, and full audit coordination. Careful Security supports a wide range of compliance certifications such as SOC 2, ISO 27001, ISO 42001 (AI Governance), HIPAA, and PCI DSS, and has a strong track record of first-attempt audit passes and high client ROI. The team primarily works with mid-market B2B SaaS, FinTech, Healthcare, and Manufacturing organizations and is led by founder Sammy Basu, a seasoned cybersecurity expert with over 20 years of industry experience.

Role Description

This is a remote contract role for a Developer / AI Automation Engineer at Careful Security. The role involves designing, developing, and maintaining automation workflows that integrate with Dashr.ai and other internal systems to streamline cybersecurity and compliance operations. Day-to-day tasks include building and optimizing software components, implementing process automation for evidence collection and reporting, and collaborating with security consultants to translate compliance requirements into technical solutions. The engineer will create and maintain APIs, scripts, and services that support data pipelines, monitoring, and AI-driven remediation features, while ensuring reliability, performance, and security. The role also includes writing clear technical documentation, performing testing and quality checks, and contributing to continuous improvement of development and automation practices.

Qualifications

• Candidates should possess strong skills in Software Development and Programming, with experience in building backend services, APIs, or automation tools.
• Candidates should possess practical experience in Process Automation and Automation, including workflow orchestration, scripting, and integration between platforms.
• Candidates should possess Quality Assurance skills, including test planning, automated testing, debugging, and performance optimization.
• Experience with AI/ML-driven tools, data pipelines, or automation frameworks (e.g., Python, Node.js, or similar languages) is beneficial.
• Familiarity with cybersecurity or compliance domains (e.g., SOC 2, ISO 27001, HIPAA, PCI DSS) is advantageous but not required.
• Ability to work independently in a remote environment, manage priorities, and collaborate asynchronously with cross-functional teams.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience is preferred.