Senior Reverse Engineer - Remote
- Role
- Security
- Experience
- Senior
Open to HR only. Set where you work from to check your eligibility.
No BS summary
Senior reverse engineer for antibot/browser fingerprinting work, remote but applicants must be in Croatia. Needs strong JavaScript/Node.js and Python, hands-on JS VM/WASM/obfuscated-code reversing, network debugging tools, and real use of LLM/agent automation.
Core skills
Required skills
Optional skills
At Zyte, we're pioneering the next revolution in web data extraction, empowering businesses to focus on innovation. Companies often struggle with challenges like navigating dynamic web structures, countering anti-scraping measures, and ensuring data accuracy. We tackle these obstacles by providing best-in-class tools for seamless, reliable web data extraction. With over a decade of expertise, we've become the trusted solution for over 3,000 companies and a million developers, helping them achieve a competitive edge and drive sustainable growth.
We are a diverse and enthusiastic team of data nerds, tech aficionados, and hackers. At Zyte, you'll join an inclusive community where everyone belongs. We thrive on collaborating with our smart, passionate teammates and customers to solve complex problems in data science and engineering.
Join us and be part of the data revolution!
About the Job
Reverse engineering is at the heart of how Zyte stays ahead in the banning war. We've cracked some of the hardest antibots on the web — but the ground shifts weekly: antibots ship new sensor formats overnight, obfuscation schemes mutate, and new fingerprinting surfaces appear faster than any team could chase by hand.
This role is not about solving tickets one at a time. It's about building the tools, pipelines, and automation that let both engineers and AI agents solve them at scale. You will be the person who turns a reverse-engineering breakthrough into reusable tooling, who automates the investigation that used to take days into a readout that takes minutes, and who feeds the intelligence our AI systems learn from. You'll work at the intersection of deep JS/VM reverse engineering and modern AI-assisted engineering — using LLMs and agentic tooling aggressively to compress the loop between "new detection surface discovered" and "solution shipped."
If you're energized by wielding AI to multiply your own output, by automating away manual toil, and by working on problems where the adversary is smart and the target moves — this is the seat.
Roles & Responsibilities
- Reverse-engineer the hardest antibot and fingerprinting systems on the web, across JS VMs, WASM, and polymorphic/obfuscated code.
- Build the JS function tracing, deobfuscation pipelines, and fingerprint-inspection tooling that turn manual reverse-engineering investigations into fast, repeatable, largely automated workflows.
- Use AI aggressively — LLMs, agents, and custom automation — to deobfuscate, classify, and diagnose detection surfaces, and to rapidly prototype and ship tooling that previously would have taken weeks.
- Build and maintain website intel pipelines with checkpointed history, so that when an antibot ships an update we diff against a known-good baseline instead of rediscovering the problem from scratch.
- Feed our AI reverse-engineering and ban-resolution systems the context, signals, and structured intelligence they need to autonomously resolve the majority of cases.
- Codify one-off reverse-engineering wins into durable capability — tools, rules, and pipelines usable by other engineers and by AI agents alike.
- Collaborate across engineering to fold your tooling into the custom browser and automation stack, and mentor others in AI-augmented reverse-engineering technique.
Requirements
- A hacker mindset — able to rapidly develop proof-of-concepts and working tools to get to a result, and comfortable with the inherent uncertainty and open-endedness of the work.
- Demonstrated use of AI tooling (LLMs, coding agents, automation) to accelerate your own engineering, with a strong instinct for what to automate and when.
- Strong proficiency in JavaScript/Node.js and Python, with a broad programming background and exceptional problem-solving ability.
- Strong research, debugging, fuzzing, and reverse-engineering skills, including static, dynamic, and concolic analysis.
- Hands-on experience reversing JavaScript VMs, WASM, and heavily obfuscated or polymorphic code.
- A deep understanding of operating systems and computer networking concepts.
- Adept with tools such as Wireshark, Burp Suite, and similar for intercepting and debugging network traffic.
- Understanding of browser engines, browser fingerprinting, and antibot/anti-scraping mechanisms.
- Approach prioritization logically and with a measurement-backed strategy, and thrive in a collaborative environment.
Bonus points for
- Experience with reverse-engineering tools like IDA, Ghidra, Frida, or Babel.
- Experience building tooling or pipelines that feed machine-learning or AI systems.
- Experience with C/C++ and Rust.
- Core contributions to Mozilla or Chromium projects.
By joining the Zyte team, you will:
- Become part of a self-motivated, progressive, multi-cultural team
- Have the freedom and flexibility to work from where you do your best work
- Attend conferences and meet with team members from across the globe
- Work with cutting-edge open source technologies and tools
What you'll do
- Reverse-engineer antibot and fingerprinting systems across JS VMs, WASM, and polymorphic or obfuscated code.
- Build JS function tracing, deobfuscation pipelines, and fingerprint-inspection tooling to turn manual reverse-engineering investigations into fast, repeatable, largely automated workflows.
- Use LLMs, agents, and custom automation to deobfuscate, classify, and diagnose detection surfaces, and to rapidly prototype and ship tooling.
- Build and maintain website intelligence pipelines with checkpointed history to diff antibot updates against known-good baselines.
- Feed AI reverse-engineering and ban-resolution systems the context, signals, and structured intelligence needed to autonomously resolve most cases.
- Turn one-off reverse-engineering wins into durable tools, rules, and pipelines usable by other engineers and AI agents.
- Collaborate across engineering to integrate tooling into the custom browser and automation stack.
- Mentor others in AI-augmented reverse-engineering techniques.
What they require
- A hacker mindset, able to rapidly develop proof-of-concepts and working tools and comfortable with uncertainty and open-ended work.
- Demonstrated use of AI tooling, including LLMs, coding agents, and automation, to accelerate engineering work.
- Strong instinct for what to automate and when.
- Strong proficiency in JavaScript/Node.js and Python, with a broad programming background and exceptional problem-solving ability.
- Strong research, debugging, fuzzing, and reverse-engineering skills, including static, dynamic, and concolic analysis.
- Hands-on experience reversing JavaScript VMs, WASM, and heavily obfuscated or polymorphic code.
- Deep understanding of operating systems and computer networking concepts.
- Adept with tools such as Wireshark, Burp Suite, and similar tools for intercepting and debugging network traffic.
- Understanding of browser engines, browser fingerprinting, and antibot/anti-scraping mechanisms.
- Logical prioritization with a measurement-backed strategy.
- Ability to thrive in a collaborative environment.
- Preferred: Experience building tooling or pipelines that feed machine-learning or AI systems.
- Preferred: Core contributions to Mozilla or Chromium projects.
Benefits
- Become part of a self-motivated, progressive, multi-cultural team.
- Freedom and flexibility to work from where you do your best work.
- Attend conferences and meet with team members from across the globe.
- Work with cutting-edge open source technologies and tools.
Zyte builds tools and services to collect, format, and deliver web data at scale for businesses.