FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAWSCloudCyber SecurityDockerGoKubernetesPython
About the role
Key responsibilities & impact- Design, develop, test, and maintain AI/ML models and pipelines powering ExtraHop's products.
- Monitor, evaluate, refine, and optimize algorithms to improve accuracy and reduce false positives for model-based behavioral detectors.
- Participate in agile development processes, code reviews, and technical strategy discussions.
- Collaborate with cross-functional teams to ensure that AI/ML features are integrated seamlessly into the broader product architecture.
- Provide technical leadership to junior team members and leverage design and mentorship experience to enable the broader team.
- Act as a technical expert, fostering a culture of excellence, curiosity, and collaborative problem solving.
- Write clean, maintainable, and efficient code while adhering to best practices.
- Address technical debt proactively, continually improving 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.
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 7+ years of professional backend development experience with at least two years at a senior or higher level.
- Solid knowledge of Go, Python, or an equivalent programming language, with strong general programming fundamentals.
- Experience in machine learning, statistics, or a related quantitative discipline.
- Experience building or operating production AI/ML systems, including model lifecycle management, data/training pipelines, and monitoring.
- Experience building and scaling distributed, highly available systems.
- Familiarity with cloud platforms, particularly AWS; experience with version control systems (e.g., Git) and agile development practices.
- Experience with containerization technologies (Kubernetes, Docker).
- Strong problem-solving skills, a self-starter mentality, and a track record of technical ownership.
- Excellent communication and collaboration skills, with the ability to work independently and in fast-paced team environments.
Benefits
Comp & perks- Health, Dental, and Vision Benefits
- Flexible PTO, Sick Time Prorated Based on Date of Hire, and All Federal Holidays (US Only) + 3 Days of Paid Volunteer Time
- Non-Commissioned Positions may be eligible to participate in the Annual Discretionary Bonus Plan
- FSA and Dependent Care Accounts + EAP, where applicable
- Educational Reimbursement
- 401k with Employer Match or Pension where applicable
- Pet Insurance (US Only)
- Parental Leave (US Only)
- Hybrid and Remote Work Model
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI/ML modelsalgorithmsGoPythonmachine learningstatisticsmodel lifecycle managementdata pipelinesdistributed systemstechnical ownership
Soft Skills
technical leadershipmentorshipproblem solvingself-starter mentalitycommunicationcollaboration
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineering