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About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About The Team The Security Incident Response team works to analyze, investigate, and respond to threats before they impact Stripe’s business or users. From external attacks to insider threats, our goal is to respond with speed and precision, remediate, and support the incident postmortem process. The team is distributed, working across multiple AMER time zones, and will regularly coordinate with stakeholders in EMEA and APAC. What you’ll do You will leverage your security engineering experience to improve incident response capabilities at Stripe. With an emphasis on user and entity behavior analytics, as well as endpoint hardening, you will gain a deep understanding of Stripe’s systems, tooling, and workflows to be able to differentiate between legitimate and malicious activity. Using both threat intelligence and collected telemetry, you will guide and build Stripe-specific signals enrichment logic and incident response solutions that scale with our company. Lastly, your analytic capabilities will be critical during security incidents to reduce uncertainty, uncover root causes, and inform future prevention and detection mechanisms. Responsibilities 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 Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum 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 Preferred Qualifications An adversarial mindset, understanding the goals, behaviors, and TTPs of threat actors. Experience with software engineering, data processing and analysis tools (e.g. Databricks/Jupyter, Trino, etc.) Familiarity with common open-source frameworks for big data processing and/or data science (PySpark, Pandas, Sci-kit Learn, etc.) Experience with tactical threat intelligence and/or hunting for sophisticated threat actors in an enterprise environment Familiarity with network observability, security software, or data engineering solutions (osquery, Splunk/LogScale, etc.) Experience in one or more of the following areas: user and entity behavior analytics (UEBA), security information event management (SIEM), security orchestration automation and response (SOAR), or data loss prevention (DLP) Hybrid work at Stripe This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). In-office expectations Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. Working remotely at Stripe A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live. Pay and benefits The annual US base salary range for this role is $144,300 - $216,500. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. We look forward to hearing from you. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. Apply now Please find our California applicant personal information notice here. The application window will remain open for 100 days after the Job Post is published. However, this opportunity will remain open based on the needs of the business, which may cause the application window to close before or after the 100-day mark.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.