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CD

Information Security Engineer – Enterprise & Automation Focus

Career Developers
🇺🇸 United States
Hybrid
Senior
1 week ago
  • Python
  • AI
  • Machine Learning
  • System Design
  • Language Models
  • Incident Response
  • Penetration Testing
  • DevSecOps
  • Vulnerability Management
  • Linux
  • Devops
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Information Security Engineer– Enterprise & Automation Focus (Must come out of a start-up type setting, doing Enterprise Security)
Location: New York City, NY (Hybrid: Tues–Thurs onsite, Mon & Fri remote)
Salary: OPEN, looking for the best in class Security Engineers, my client has no problem paying what it takes.....

Must have the following: Should come out of a small to mid sized tech company where you controlled all security technically.  Sr level Security engineering experience, Python or comparable scripting ability, security automation, incident investigation, vulnerability remediation, endpoint or infrastructure security, secure software practices, and the ability to evaluate security risks associated with modern AI-driven applications.
 
About the Opportunity:
My growing client is a technology-focused organization that combines advanced computing, software development, data-intensive research, and machine learning to solve complex real-world problems.
The security team operates as an engineering function rather than a traditional compliance-focused organization. Engineers are expected to investigate difficult problems, build technical solutions, automate security operations, and partner closely with other technical teams.
A growing area of focus involves understanding how AI-powered software, autonomous applications, and intelligent workflows change the security landscape. This creates opportunities to work on security challenges that may not yet have mature industry standards or established solutions.
The environment is best suited for engineers who enjoy technical depth, experimentation, programming, and solving security problems from first principles.
 
Responsibilities:
  • Build technical security solutions that improve protection across software, computing infrastructure, endpoints, and emerging AI applications.
  • Create automated security workflows that reduce manual investigation and remediation work.
  • Develop internal tools and scripts for identifying suspicious activity, security weaknesses, configuration issues, and operational risk.
  • Partner with software and infrastructure engineers to incorporate security earlier in application and system design.
  • Review technical environments for weaknesses and recommend practical controls based on risk and business impact.
  • Investigate security events and determine appropriate containment, remediation, and prevention strategies.
  • Improve the organization’s ability to identify abnormal behavior across endpoints, applications, and computing environments.
  • Conduct technical security reviews of new systems, services, tools, and internally developed technologies.
  • Evaluate how autonomous software and AI-enabled applications could introduce new attack paths or security concerns.
  • Help establish secure patterns for applications that interact with language models, automated decision-making systems, or machine-learning services.
  • Perform targeted testing to identify exploitable weaknesses before they become production issues.
  • Develop repeatable processes for vulnerability discovery, prioritization, ownership, and remediation.
  • Work closely with highly technical engineering teams on security problems that may not have established playbooks.
  • Research new security techniques, attack methods, and defensive technologies that could improve the organization’s security posture.
  • Contribute to technical standards and engineering guidance without creating unnecessary process or friction.
 
Requirements:
  • Professional experience in cybersecurity, security engineering, application security, infrastructure security, detection engineering, incident response, or a closely related discipline.
  • Strong programming or scripting skills, ideally with Python or another language commonly used for automation.
  • Demonstrated ability to build security tooling or automate repetitive security activities.
  • Experience investigating technical security issues across systems, applications, endpoints, or networks.
  • Practical knowledge of vulnerability identification and remediation.
  • Understanding of attacker behavior, common exploitation techniques, and methods used to reduce exposure.
  • Familiarity with endpoint security, security monitoring, logging, or detection technologies.
  • Experience working with software engineers, infrastructure teams, or technical platform groups.
  • Understanding of secure development practices and how security controls fit into modern engineering workflows.
  • Ability to evaluate unfamiliar technologies and identify potential security implications.
  • Exposure to AI applications, language models, autonomous systems, machine-learning platforms, or AI security is beneficial but does not need to be the candidate’s primary background.
  • Experience with offensive security, adversarial testing, security research, or penetration testing is helpful.
  • Comfortable operating in environments where security problems require custom engineering rather than off-the-shelf solutions.
  • Strong analytical skills and the ability to explain technical security issues clearly.
  • Able to work successfully with technical teams in a collaborative hybrid environment.
  • Candidates with different levels of seniority may be considered depending on technical depth and demonstrated accomplishments.

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INDH

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Information Security Engineer – Enterprise & Automation Focus · Career Developers

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