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# Security Engineer

- **Company:** Akaasa Technologies
- **Location:** Malvern, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Computing Platforms, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Information Engineering, Github, Python (Programming Language), Software Engineering, Systems Integration, Software Vulnerability Management, Workflow Management Systems, Enterprise Software Applications, Infrastructure Automation Frameworks, Api Design, Devsecops, Qualys, Security Orchestration, Automation & Response, Servicenow
- **Published:** October 30, 2026
- **Apply:** https://www.careerjet.com/jobad/us5713879b8c967e4fbc6f96a03bf76094

## About the Role

* Robust software engineering skills (Python, Java, C#, or similar)
 * Security automation and workflow orchestration
 * API development and system integration
 * Cloud engineering (AWS/Azure)
 * GitHub and CI/CD pipeline expertise
 * Data engineering, analytics, and dashboard development
 * DevSecOps and infrastructure automation
 * Enterprise application architecture and platform design
 * Experience with security tools such as Wiz, Qualys, Archer, and ServiceNow
 * Vulnerability management and remediation lifecycle knowledge

Preferred:

 * Builds scalable enterprise solutions rather than point solutions
 * Identifies manual processes and automates them
 * Robust problem-solving and systems-thinking mindset
 * Influences and collaborates effectively across teams
 * Able to translate business challenges into technical solutions
 * Comfortable leading technical direction and mentoring others

## Description

* Lead the design and development of centralized vulnerability management platforms
 * Develop security automation tools and APIs
 * Create executive and operational dashboards
 * Build ownership and remediation tracking solutions
 * Integrate data across security and engineering platforms
 * Drive AI-enabled process improvements and operational efficiencies