Stripe

Software Engineer, Security Analytics Infrastructure

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

Headquarters: US - Remote

Who we are

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

In this role, you'd join Stripe's Security Analytics Infrastructure team. Our mission is to enable Stripe's detection and response by generating, centralizing, and organizing security data through simple, reliable pipelines and providing a platform of core security systems. We also undertake experimental, bespoke projects that close Stripe‑specific security gaps and accelerate outcomes for our partner teams.

What you'll do

As a Software Engineer on this team, you'll use your blend of security and software engineering expertise to build and support our key services including a SIEM, SOAR, endpoint detection and response, server observability, threat intel platform, and AI infrastructure. You'll work closely with partner teams working in multiple program areas of cyber defense, including cyber intelligence, threat detection, vulnerability management, secure devices, and compliance. Overall, you'll help ensure that we have the right data in the right place at the right time for our users.

Responsibilities

• Build and maintain services and dataflows related to our security analytics platform • Collaborate with other teams to drive improvements to processes our platform supports • Continuously improve our security posture, processes, and tools

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

• 5+ years software engineering experience in a high-stakes production environment

• Significant experience in applying software engineering in the cybersecurity field

• Experience in applying AI tooling in this space (e.g. Claude Code, agent-based approaches, etc.)

• Empathy, strong communication skills, and a deep respect for the power of collaboration

• Excellent problem-solving skills and attention to detail

• High standards for code quality and a constructive attitude to help others raise the bar

Preferred qualifications

• Go and Python experience

• An ability to think creatively and holistically about reducing risk in a complex environment

• Previous experience in a regulated industry (e.g., financial services, healthcare)

To apply: https://weworkremotely.com/remote-jobs/stripe-software-engineer-security-analytics-infrastructure

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis Python Remote Collaboration Software Engineer remote

Likely questions

  1. Tell us about work you have done that is close to the Software Engineer, Security Analytics Infrastructure role.
  2. How would you approach your first 30 days at Stripe?
  3. Which of Data Analysis, Python and Remote Collaboration have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Python and Remote Collaboration.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Software Engineer, Security Analytics Infrastructure role because I can bring practical experience in Data Analysis, Python and Remote Collaboration, learn the team quickly, and contribute to the outcomes Stripe needs from this hire.

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