DevJobs

Automation Infrastructure Developer

Overview
Skills
  • Python Python ꞏ 2y
  • JavaScript JavaScript
  • GitHub Actions GitHub Actions
  • AWS AWS ꞏ 2y
  • Docker Docker
  • Kubernetes Kubernetes
  • Appium
  • Databricks
  • Frida
  • Jupyter
  • YARA
We're seeking a skilled Automation Infrastructure Developer to build and enhance our cutting-edge malware detection and analysis systems. If you're an independent, results-driven engineer with a passion for automation and cybersecurity, you'll thrive in this critical role. Join our mission-driven team working to make the digital world safer!

Responsibilities:

  • The role involves integrating existing tools to analyze applications and developing automated solutions that enhance research decision-making capabilities
  • Work closely with reverse engineers and RE team automation specialists to productize proof-of-concept projects into robust solutions
  • Collaborate with DevOps and Infrastructure teams to build, deploy, and maintain critical security projects and automation systems
  • Support research on application campaigns and threat patterns through automated analysis tools
  • Develop and maintain automated detection systems and rule engines for threat identification
  • Maintain ownership of automation systems, including troubleshooting, bug fixes, and ongoing code maintenance

Requirements:

Must Have

  • At least 2 years of proven experience as an Automation Engineer or developer
  • At least 1 year of proven experience developing automation infrastructure in production environments
  • At least 2 years of proven experience working with AWS cloud services and infrastructure
  • At least 2 years of proven experience in Python development
  • Strong familiarity with services deployment using Docker, Kubernetes (K8), and container orchestration

Nice to Have

  • Proficiency with Android and mobile automation frameworks such as Appium
  • Experience with JavaScript development
  • Experience with threat research methodologies and malware campaign analysis
  • Proven ability to develop and maintain detection rules and automated analysis systems
  • Background in Android application development or reverse engineering
  • Experience developing automated infrastructure that captures and analyzes network traffic
  • Hands-on experience with instrumentation tools like Frida
  • Experience with YARA
  • Proficiency with Databricks and Jupyter notebooks - a significant advantage
  • Advanced experience with CI/CD pipelines using GitHub Actions
  • Deep understanding of the Android malware landscape and analysis techniques
  • Experience in coordinating with research teams and translating technical findings into actionable insights
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