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ExtraHop

Principal Software Engineer | Data Science

ExtraHop · Remote | Seattle, WA

Posted about 3 months ago · $175,000 - $198,000

or apply directly on ExtraHop's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
ExtraHop's roles stay open a median of 81 days
Reposted
No
Salary listed
Yes
83% of ExtraHop's roles list one
Ghost-job risk at ExtraHop
high
17 stale, 0 reposted of 18 open
Hiring momentum
28 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from ExtraHop's own greenhouse board since 2026-08-03. Full hiring picture for ExtraHop.

About this role

As a Principal Software Engineer at ExtraHop, you will lead the development of the Network Detection and Response (NDR) platform, focusing on architecture and execution of high-impact engineering initiatives. Your role involves designing and maintaining software that deploys AI/ML models for network traffic analysis, collaborating with cross-functional teams, and mentoring engineers. You will also contribute to product strategy and drive engineering excellence across teams.

Our read on this posting4.2out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of ExtraHop as an employer.

What you need

  • 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
  • Experience in machine learning, statistics, or a related quantitative discipline
  • Experience building or operating production AI/ML systems
  • Expertise in applying machine learning or data science techniques to cybersecurity use cases

Nice to have

  • 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

What you get

  • 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

Worth weighing

  • No specific mention of the tech stack beyond Python and Go
  • Salary range is provided, but may not reflect total compensation due to bonus structure
  • Role involves significant autonomy and influence, which may vary based on team dynamics

Summarised from ExtraHop's posting. Read the full original.

Listed by ExtraHop on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

More roles at ExtraHop

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