Senior Security Software Engineer, Corporate Security

🕒 April 2

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Zigsaw

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

Making Job-search and talent discovery simpler, faster and effective for Job-seekers.

📋 Description

• Automation & Tooling - Develop scripts, tools, and automated pipelines to streamline vulnerability scanning, incident triage processes. Integrate security tools within CI/CD pipelines. • Security Architecture & Code Review - Consult and engineer secure-by-design systems. Conduct design and code reviews to identify vulnerabilities, misconfigurations, and security flaws early in the development lifecycle. • Champion Security Automation Culture: Advocate for and educate team members on secure coding, automation practices, and emerging security technologies. • Implement Secure Engineering Practices - Design, develop, and maintain software systems with security best practices integrated throughout the development lifecycle. • Collaborate with XFN Teams - Partner with security engineers and IT to improve detection and remediation of threats across infrastructure and applications. • Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality. • Leverage AI to streamline and enhance the efficiency, accuracy, and coverage of security engineering and review processes.

🎯 Requirements

• Bachelor’s degree in Computer Science, Cybersecurity or, a related field or equivalent experience. • 5+ years of experience in corporate security or security related software engineering role. • Linux/UNIX, macOS or Windows internals with an emphasis on proactive hardening. • Experience working in conjunction with IT architectural and infrastructure groups to coordinate and implement roadmaps for future scalability, growth, and capacity. • Fleet management experience (e.g. Puppet, Chef, Terraform or similar). • Cloud computing experience (infrastructure or security experience both valuable). • Systems security experience (e.g. hardening a corporate identity environment). • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs. • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review). • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

🏖️ Benefits

• Compensation is tied to performance • Flexible working hours • Paid time off • Remote work options • Health and wellness programs