Detection Software Engineer

Minimum Qualifications

• 5+ years of experience in software engineering.
• 3+ years of experience in cloud-based development. Familiarity with cloud services, Kubernetes, cloud environment architecture, and the major cloud providers (AWS, GCP, Azure).
• Deep knowledge of OS internals (Windows/Linux) and networking.
• Experience delivering real-world impact on products affecting customers.
• The ability to learn independently, to be self-driven and goal-oriented.

Preferred Qualifications

• Experience with runtime security products.
• Hands-on experience in a detection engineering role/malware analysis/reverse engineering/vulnerability research.
• Familiarity with notable threat actors and threat intelligence analysis.
• IR/red-team/threat-hunting experience.
• Familiarity with the following languages / tools: Python, PowerShell, Linux shell scripting, Terraform, CircleCI, Github Action.
• Excellent communication and teamwork skills.

About The Job

We’re looking for a top-notch Detection Software Engineer to join our Threat Research team and further develop the Wiz Runtime Sensor. In this role, you will work on a world-class runtime security solution affecting some of the largest cloud workloads, collaborating closely with engineering and research to enable new and better threat detection capabilities.

Check out some of our recent research:

• PostgreSQL Cryptomining

• SeleniumGreed Cryptomining Exploit Attack Flow & Remediation Steps

• PyLoose: First Python-based Fileless Attack on Cloud Workloads

Responsibilities

• Work on a world-class runtime security solution affecting some of the largest cloud workloads.
• Work closely with engineering and research to enable new and better threat detection capabilities.
• Build and extend our research infrastructure, automated testing infra and release processes.
• Conduct research and develop new detection capabilities, from concept to implementation.
• Constantly shift things from an art to a science - make the hard things easy, fast and scalable.
• Quickly address gaps and changes when needed. Bias towards action.
• Analyze, debug and solve problems in test, staging and production environments.
• Create and enforce best practices and security policies.
• Work with customers in response to requests and questions when needed.