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Head of Reverse Engineering

Job in Philadelphia, Philadelphia County, Pennsylvania, 19113, USA
Listing for: SuperSwipe
Full Time position
Listed on 2026-11-01
Job specializations:
  • Software Development
    Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 170000 - 210000 USD Yearly USD 170000.00 210000.00 YEAR
Job Description & How to Apply Below
# Head of Reverse Engineering Engineering Remote  (United States)
Full time

Own the fight against bots on the most contested drops in commerce.

Apply now## About the role

Super

Swipe runs the draws behind the most wanted product releases on Shopify. Every drop is an arms race: resellers automate entries, rotate identities and now write their scripts with AI tools. You will lead the reverse engineering side of that fight as a hands on software engineer and the owner of our anti bot roadmap.## What you will do
* Take apart the automation that targets our entry intake and checkout flows, and turn what you learn into detection that ships.
* Study how the established anti bot solutions work in practice, where they fail, and what a modern approach looks like when the adversary can generate a new script in minutes.
* Iterating on existing proprietary fingerprinting, behavioral signals and proof of work systems that hold up at millions of entries per drop without slowing honest fans down.
* Set up the feedback loop: replay real attacks, measure catch rates and false positives, and tune with data instead of hunches.
* Write clearly about what you find so the rest of the team and our merchants understand the threat.## What we look for
* Deep familiarity with browser internals, request forensics and the tooling resellers actually use.
* Working knowledge of several commercial anti bot products and a clear view of their strengths and blind spots.
* Strong software engineering fundamentals in Type Script or JavaScript plus one systems language.
* Comfort operating on production traffic at scale, where a mistake blocks real customers.
* An experimental mindset. You would rather run the attack yourself than read about it.## Nice to have
* Experience on either side of sneaker, ticketing or limited release automation.
* Familiarity with edge compute and streaming pipelines.
* Prior work applying machine learning to abuse detection.## What we offer
* A full time role on a small team that ships every week.
* Direct ownership of a problem that decides whether a drop is fair.
* Competitive salary, equity and remote flexibility.
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