Rapid7 Logo

Rapid7

Principal Software Engineer

Posted 3 Days Ago
Remote or Hybrid
Hiring Remotely in United States
Expert/Leader
Remote or Hybrid
Hiring Remotely in United States
Expert/Leader
Architects and delivers foundational systems for an autonomous security investigation platform supporting MDR. Responsibilities include distributed data pipelines, query engines, orchestration, ML model infrastructure, scalability, reliability, observability, technical standards, design reviews, mentorship, and cross-team architecture. The role partners with ML, product, data science, and platform teams to solve complex technical problems across real-time security operations.
The summary above was generated by AI
Job Description: Principal Software Engineer, AI-SOC
Rapid7 is seeking a Principal Software Engineer, AI-SOC to serve as a technical anchor on the team building the autonomous investigation platform at the core of our MDR service. This is a hands-on, high-impact role for an engineer who brings deep expertise in data systems, distributed architecture, and ML/AI and who wants to apply that expertise to a domain where the stakes are real.
About the Team
The AI-SOC engineering team sits within Rapid7's Detection & Response organization and builds the autonomous investigation platform powering our MDR service. Operating at the intersection of managed security operations and agentic AI, the team develops capabilities that triage alerts at machine speed so analysts can focus on high-value decisions. The team spans ML/AI engineering, data engineering, and platform engineering, tackling hard problems in real-time data processing, investigation orchestration, and intelligent disposition.
About the Role
As a Principal Software Engineer, AI-SOC, your primary responsibility will be to drive the technical design and delivery of the foundational systems that make autonomous investigation possible at scale. Specifically, your focus will be to:
  • Architect and implement core platform components across the AI-SOC stack, including data ingestion pipelines, query engines, investigation orchestration, and ML model integration layers.
  • Own technical direction for the team's most complex and ambiguous problems, defining interfaces, data contracts, and system boundaries that scale reliably across diverse alert types and log sources.
  • Partner with ML/AI engineers to design the infrastructure that trains, serves, and evaluates disposition models, ensuring tight feedback loops between production signals and model improvement.
  • Establish and champion engineering standards across the team: system design patterns, data modeling conventions, testing practices, and observability requirements.
  • Lead design reviews and provide deep technical mentorship to senior and staff engineers, raising the overall technical ceiling of the team.
  • Identify and resolve systemic performance, reliability, and scalability bottlenecks across the distributed investigation pipeline.
  • Collaborate with Product Management to shape requirements, surface technical constraints early, and propose solutions that balance speed with long-term platform health.
  • Contribute to cross-team architectural decisions and represent AI-SOC engineering in broader platform and infrastructure forums.

The skills and qualities you'll bring include:
  • Bring 10+ years of software engineering experience, with a demonstrated track record of leading complex, high-scale system design across distributed environments.
  • Demonstrate deep expertise in data systems, including stream processing (e.g., Kafka, Flink), distributed query engines, data modeling, and storage systems (e.g., DynamoDB, S3, data mesh patterns).
  • Apply strong working knowledge of ML/AI system design, including model serving infrastructure, feature pipelines, embedding systems, or LLM integration. You don't need to be a data scientist, but you need to build confidently alongside them.
  • Proven experience designing systems where correctness, latency, and throughput all matter. You think carefully about trade-offs and can articulate them clearly.
  • Excel at taking ownership of ambiguous, cross-cutting technical problems and driving them to well-reasoned, well-documented solutions.
  • Demonstrate experience working in cloud-native environments (AWS preferred), with strong command of infrastructure patterns relevant to AI/ML workloads.
  • Familiarity with security operations, detection engineering, or threat intelligence pipelines is a plus, intellectual curiosity about the domain is required.
  • Build strong working relationships with product, data science, and platform engineering peers, and communicate technical concepts clearly to non-engineering stakeholders.
  • Bring strong written and verbal communication skills; you write clear design docs, give direct feedback, and can align stakeholders around technical direction.
  • Embody our core values to foster a culture of excellence that drives meaningful impact and collective success.

We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today.
#LI-CG1 #LI-Remote
About Rapid7
At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome.
Protecting 11,500+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.
Rapid7, Inc. is committed to fair and equitable compensation practices. A candidate's salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. We evaluate compensation decisions on a case-by-case basis, and it is not typical for an individual to be hired at the very top of the salary range.
The annual salary range for this role, depending on location, is:
United States: $190,600.00 - 257,800.00 USD Annual
Salary ranges may vary based on geographical location. This range does not include variable/incentive compensation, equity and benefits (where applicable/eligible).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or any other status protected by applicable national, federal, state or local law.

Similar Jobs at Rapid7

2 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Own and expand strategic enterprise accounts across Ohio, generating net-new business and growing existing revenue. Develop sophisticated sales strategies, engage senior technical and business executives, negotiate complex agreements, and exceed revenue targets. Partner with Sales Engineering, Customer Success, Sales Operations, and channel stakeholders to deliver tailored cybersecurity solutions and long-term customer value. The role requires strong SaaS and cybersecurity expertise, executive communication, independent territory management, and travel up to 50%.
Top Skills: CloudCybersecurityGongLinkedin Sales NavigatorSaaSSalesforceSalesloftZoominfo
2 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Own and grow strategic enterprise accounts in the Philadelphia territory by generating net-new business and expanding existing revenue. Develop complex sales strategies, engage technical and executive stakeholders, lead negotiations, and exceed revenue targets. Partner with Sales Engineering, Customer Success, Sales Operations, and channel teams to deliver tailored cybersecurity solutions and long-term customer value. Requires enterprise technology sales experience and travel up to 50%.
Top Skills: Cloud ComputingCybersecurityGongLinkedin Sales NavigatorSaaSSalesforceSalesloftZoominfo
Yesterday
Remote or Hybrid
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Lead the global PMO to align product roadmaps and engineering delivery, embed agile operating models within squads, manage capacity and metrics, mitigate development risks, and accelerate time-to-market for cloud-native enterprise cybersecurity products.

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account