Software Engineer III | AI/ML
New
E
ExtraHopCybersecurity
Remote | Seattle, WAFull-TimeSenior
Salary$145,000 - $160,000 + bonus + benefits
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Job Details
- Experience
- 4+ years
- Required Skills
- AWSDockerPythonAgileCloud ComputingGitKubernetesMachine LearningGo
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 4+ years of professional software development experience, preferably in backend, security, or AI/ML related systems.
- Solid knowledge of Python, Go, or an equivalent programming language, with strong general programming fundamentals.
- Familiarity with machine learning, statistics, or a related quantitative discipline.
- Experience contributing to production AI/ML systems, including data pipelines, model deployment, inference monitoring, or experiment tracking.
- Familiarity with building distributed, highly available cloud based systems, preferably on AWS.
- Experience with version control systems (e.g., Git) and agile development practices.
- Familiarity with containerization technologies (Kubernetes, Docker).
- Strong problem-solving skills, a self-starter mentality, and the ability to take ownership and deliver well-defined technical tasks.
- Excellent communication and collaboration skills, with the ability to work independently with limited guidance in a fast-paced team environment.
Responsibilities
- Develop, test, and maintain software components that support AI/ML models, agentic processes, and data pipelines.
- Contribute to the monitoring, evaluation, and improvement of algorithms used in model-based behavioral detectors.
- Participate in agile development processes, code reviews, and technical discussions.
- Collaborate with senior engineers, data scientists, and threat researchers to integrate AI/ML features into the broader product architecture.
- Implement well-scoped features and technical improvements with limited guidance from senior team members.
- Write clean, maintainable, and efficient code while adhering to engineering standards and best practices.
- Help identify and address technical debt to continually improve our codebase and technical stack.
- Stay current on the latest cybersecurity threats, trends, and technologies to contribute to product enhancements.
- Assist in the documentation of product features, technical specifications, and engineering guides.
- Support a culture of curiosity, collaboration, quality, and continuous improvement
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