Job opportunity
we are seeking a skilled cybersecurity professional to design and develop intelligent, scalable security tools that defend our infrastructure.
this role combines secure software engineering with ai-enhanced automation to support threat detection, identity enforcement, incident response, and policy execution.
key responsibilities:
* develop security tools and automation scripts using python or similar languages to support detection, alert enrichment, response, and compliance reporting.
* build ai/llm-enhanced workflows that auto-label or prioritize security alerts, summarize incidents or log anomalies, generate human-readable audit reports, validate or explain identity and access policy changes, and integrate with platforms such as sentinelone, zscaler, oktavia apis, and event streams.
* build reusable connectors or wrappers that enable internal security teams to safely use openai, azure openai, or other llm services for secure automation.
* support secure ci/cd pipelines and embed security logic into infrastructure-as-code (terraform, github actions, etc.).
* collaborate with cybersecurity engineers, threat analysts, and data scientists to identify automation targets and build ml-friendly interfaces.
* follow secure development lifecycle best practices and ensure all software meets internal review, logging, and confidentiality standards.
requirements:
* experience in software engineering, preferably with exposure to cybersecurity or infrastructure automation.
* proficiency in scripting and development languages: python, javascript, go, or typescript.
* strong understanding of secure coding principles, api development, and modern web authentication standards (oauth2, oidc).
* hands-on experience with security workflows.
* familiarity with event-based architectures (e.g., webhooks, queues, or pub/sub), and rest api development.
* experience working with identity and endpoint platforms (e.g., okta, azure ad, sentinelone).
* passion for building tools that reduce manual toil, improve clarity, and accelerate decision-making.
preferred qualifications:
* experience with ai-driven security automation tools, such as soar platforms, ai-enhanced siems, or threat intelligence enrichment.
* experience deploying and managing containerized apps or serverless functions in azure or aws.
* certifications: comptia security+, gsec, ceh, or similar.
we offer a dynamic work environment that fosters innovation and growth.