Security Incident Response Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🛡️ Security Operations

🦅 H1B Visa Sponsor

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Logo of Stripe

Stripe

1001 - 5000 employees

Founded 2010

💳 Fintech

🛍️ eCommerce

🤝 B2B

💰 Venture Round on 2021-05

Fintech • eCommerce • B2B

Stripe is a global payments processing platform that enables businesses to accept online and in-person payments. It offers a comprehensive suite of financial services, including payment processing, billing, and revenue management tools, aimed at businesses of all sizes, from startups to enterprises. By providing a developer-friendly API, Stripe allows businesses to streamline their payment operations and embed financial services directly into their applications, facilitating both B2B and B2C transactions.

📋 Description

• Analyze and investigate a broad range of threats or activities occurring on client devices • Develop requirements for detection models and enhancements to existing systems • Collect, transform, and ingest raw data from disparate sources into threat detection pipelines • Streamline incident response capabilities, ensuring the tooling and processes are clear • Work cross-functionally with security engineering and data science teams to build solutions for analyzing security events data at scale and protecting Stripe networks, systems, and data from threats • Provide actionable insights to help identify, prevent, detect, and respond to anomalous or potentially malicious user and entity activity • Act as the subject-matter expert and primary contact for stakeholder teams invested in Security Analytics and Detection programs as well as Stripe-wide security initiatives • Collaborate effectively with teammates, leading projects, mentoring others, and developing and championing quality standards within the team

🎯 Requirements

• 3+ years experience analyzing large data sets to solve problems and/or building models with a behavioral approach to security • B.S. or M.S. Computer Science or related field, or equivalent experience • Expert knowledge of Python and SQL, and familiarity with other programming languages • Existing experience with log analysis (e.g. first or third party applications, system / data access, event logs), network security, digital forensics, and incident response investigations • Proficiency with developing and using novel analytical methods to build, automate, and improve detection and response systems • Ability to communicate results clearly and focus on impact • Ability to think creatively and holistically about reducing risk in a complex environment

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