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Principal Software Engineer | Data Science at ExtraHop

Jobicy is hiring a Principal Software Engineer | Data Science at ExtraHop for a remote role open to applicants in United States. It pays $175k-$198k a year and Level rates it ; you can apply on Jobicy.

Source: Jobicy. Level lists this role from Jobicy; you apply on their page.

Level's read on this job

  • Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
  • The listed pay starts 5% above the typical software engineer posting on Level.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Python, ML Pipelines and AI agents.
  • Level lists 139 other open roles at Jobicy.

AI in this role

Design and build software systems to deploy AI/ML models and autonomous agent architectures for cybersecurity network detection.

PythonML Pipelines
ai-agentsmachine-learningsoftware-architecturedistributed-systems

At ExtraHop, we’re on a mission to protect and empower the connected enterprise. We reveal what is happening in the very infrastructure that sustains businesses, lives, and communities, and ensure the integrity of networks, data, systems, and processes. Organizations rely on ExtraHop to provide visibility into the cyber threats, vulnerabilities, and network performance issues that evade their existing security and IT tools. With this insight, organizations can investigate smarter, stop threats faster, and keep operations running.

Our mission is fueled by a profound social and moral responsibility to be the best at what we do, ensuring a secure world where everyone can thrive. If this sounds like a place you’d like to spend the next chapter of your career, we’d love to hear from you.

Position Summary

ExtraHop is at the forefront of innovation in the cybersecurity space, delivering cutting-edge solutions to protect organizations against evolving threats. Our Network Detection and Response (NDR) products empower businesses to detect, respond to, and mitigate cyber risks in real time.

We seek a Principal Software Engineer to join our product development organization and serve as a technical anchor on our NDR platform. In this role, you will drive the architecture and execution of complex, high-impact engineering initiatives that define the future of our products. You will operate with significant autonomy, influence engineering direction across teams, and mentor engineers at multiple levels while delivering software that addresses the most sophisticated challenges in network security.

Key Responsibilities

  • Design, write, and maintain robust, high-performance software to deploy AI/ML models that analyze network traffic for anomalous or malicious behaviors.
  • Design and develop autonomous AI agent architectures and multi-agent workflows.
  • Collaborate with data scientists, threat researchers, and cloud teams to build high-performance services, pipelines, and tooling that accelerate ML experimentation and production workflows.
  • Drive engineering excellence across teams through code reviews, design reviews, and the establishment of standards, patterns, and best practices.
  • Lead cross-functional technical initiatives and represent engineering in conversations with senior leadership and external stakeholders.
  • Contribute to product strategy by bringing deep technical insight to roadmap discussions, build-vs-buy decisions, and competitive differentiation.
  • Lead by example. Provide technical mentorship to software engineers on the team, fostering a culture of continuous learning, optimization, and rigorous engineering discipline.

Required Qualifications

  • Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 8+ years of professional software engineering experience, with at least 2 years in Principal, Lead, or Staff capacity shipping enterprise-grade software.
  • Expert-level programming skills in Python and Go, with an emphasis on writing production-quality, well-tested, and modular code.
  • 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.
  • Expertise in applying machine learning or data science techniques to cybersecurity use cases such as anomaly detection, behavioral analysis, or threat classification.
  • Advanced understanding of threat detection methodologies, intrusion prevention systems, and incident response workflows.

Preferred Qualifications

  • A strong fundamental understanding of network telemetry and protocols.
  • Prior experience working in the cybersecurity domain. Familiarity with threat actor techniques and common network attack vectors.
  • Familiarity with machine learning applications in cybersecurity.
  • Understanding of threat detection, intrusion prevention, and incident response strategies.
  • Deep experience with cloud services on AWS or Azure.
  • Deep experience with containerization and orchestration technologies including Docker and Kubernetes at production scale.
  • Strong written and verbal communication skills, including the ability to influence technical and non-technical audiences at the executive level.

The salary range for this role is $175,000 - $198,000 + bonus + benefits

ABOUT EXTRAHOP

ExtraHop is reinventing Network Detection and Response (NDR) to offer enterprises unparalleled visibility, context, and control against emerging threats. The platform integrates NDR with Network Performance Management (NPM), Intrusion Detection Systems (IDS), and forensics, providing a single, comprehensive solution. By decrypting and analyzing complete packet-level data at wire speed and leveraging cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect, investigate, and remediate modern cyber risks in real time across their entire hybrid infrastructure, including data center, cloud, and SASE environments.

This comprehensive approach and market innovation have earned ExtraHop unique recognition as the only NDR vendor acknowledged as a leader by all major analyst firms, including the 2025 Gartner® Magic Quadrant for Network Detection and Response™, the 2025 Forrester® Wave for Network Analysis and Visibility, the 2024 IDC® Marketscape for NDR, and the 2025 Gigamon® Radar Report for Network Detection and Response. Since 2007, ExtraHop has consistently helped organizations worldwide extract in-depth network telemetry and contextual insights, affirming its commitment to protecting and empowering the connected enterprise.

OUR VALUES

Our culture is rooted in our five Values. These set the expectations for how we work individually and collectively as a team.

Lead with Purpose: We are driven to deliver results that create a positive impact for our customers, partners, and colleagues.

Act with Integrity: We operate with transparency, authenticity, and always in the best interest of the company.

Find a Way: We are resourceful, tackle hard problems with a sense of urgency and ownership, and do what it takes to get the job done.

Innovate: We listen to customers, partners, and the market, and respectfully push boundaries and challenge the status quo.

Share Success: We run together, we win together. We value diverse perspectives, hold space for all voices, and achieve the best results as a team.

BENEFITS

Employees' wellbeing is top of mind for the ExtraHop team. Employees and their families will have the option to participate in the following 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

Our people are our most important competitive advantage, leading the charge against cyber criminals. Join the fight today!

To learn more, visit our website or follow us on LinkedIn.

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How we rate this

Principal Software Engineer | Data Science at ExtraHop at Jobicy rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsMachine learningSoftware ArchitectureDistributed SystemsPythonML Pipelines

Also common in software engineer jobs at this level

Pay

This job starts at
$175k
Typical software engineer job
$167k

This posting starts 5% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where software architecture was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI agents, Machine learning, Software Architecture, Distributed Systems, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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