Senior Software Engineer, Data Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, test, and maintain AI/ML models and pipelines that power ExtraHop's products.

• Monitor, assess, refine, and enhance algorithms to boost accuracy and minimize false positives for model-based behavioral detectors.

• Engage in agile development processes, conduct code reviews, and participate in technical strategy discussions.

• Collaborate with cross-functional teams to ensure the seamless integration of AI/ML features into the broader product architecture.

• Provide technical guidance to junior team members, utilizing design and mentorship experience to empower the wider team.

• Serve as a technical expert, promoting a culture of excellence, curiosity, and collaborative problem-solving.

• Write clean, maintainable, and efficient code while following best practices.

• Proactively address technical debt, continuously enhancing our codebase and technical stack.

• Stay updated on the latest cybersecurity threats, trends, and technologies to contribute to product improvements.

• Assist in documenting product features, technical specifications, and engineering guides.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 7+ years of professional backend development experience, including at least two years at a senior level or higher.

• Strong knowledge of Go, Python, or a similar programming language, along with solid general programming fundamentals.

• Experience in machine learning, statistics, or a related quantitative discipline.

• Proven experience in building or operating production AI/ML systems, encompassing model lifecycle management, data/training pipelines, and monitoring.

• Ability to build and scale distributed, highly available systems.

• Familiarity with cloud platforms, particularly AWS; experience with version control systems (e.g., Git) and agile development methodologies.

• Experience with containerization technologies such as Kubernetes and Docker.

• Strong problem-solving skills, a proactive mindset, and a solid record of technical ownership.

• Excellent communication and collaboration abilities, capable of working both independently and within fast-paced team environments.

🏝️ Benefits

• 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