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Salary
≈ $16k – $37k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Sep 28, 2026. Safe Security scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Palo Alto, California, Safe Security is a cybersecurity technology company specializing in digital business risk quantification and continuous threat exposure management. The company’s AI-powered platform aggregates real-time technical signals across an organization's ecosystem to dynamically predict breach likelihood and estimate potential financial risk.

Location: Bangalore

Experience: 2 to 4 years

Core Responsibilities:

  • Primary role is to work with the Threat Research team focussing on vulnerability research to analyze affected products and trigger conditions for newly released vulnerabilities

  • Utilize vulnerability and exploit intel feeds to identify applicable compensating controls and policies to prevent successful exploitation of these CVEs

  • Research various WAF products to identify APIs that provides details about attack surface protected, policies applied and the enforcement status of these policies

  • Build automation that continuously monitor changes in these policies and APIs of these WAF solutions

  • Setup a lab to apply compensating controls and policies to validate whether that can prevent the exploitation of the CVE in question

  • Map and review auto generated mapping of CVEs to compensating controls and policies which feeds back to our CTEM product

Essential Skills, Experience and Qualifications:

  • M.Tech or B.Tech / B.E. / BCA in Computer Science or Information Technology

  • Must have hands-on experience in working with WAF products (implementation, fine tuning and building automations)

  • Strong understanding of HTTP protocol

  • Proficiency in Python (or a similar language) and experience working with REST APIs.

  • Must have experience in effectively utilizing LLMs for automation engineering and research such as using LLMs to parse advisories, generate mappings, or build agentic workflows

  • Contributions to open source tools or published research is nice-to-have

  • Able to clearly document technical findings for both research team and customer success team

  • Able to work independently with minimum supervision

  • Effective communication, and interpersonal skills

  • Any of the following certifications would be preferred:

  • Vendor WAF Certification

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