Principal Software Engineer

🔥 28 minutes ago

🇺🇸 United States – Remote

💵 $190.6k - $257.8k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Rapid7

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🔒 Cybersecurity

Cybersecurity

Rapid7 is a cybersecurity company that provides a range of solutions designed to secure cloud, identity, and endpoint products. The company's Command Platform utilizes artificial intelligence to offer deep insights into cybersecurity threats and vulnerabilities. Rapid7's offerings include Managed XDR for continuous monitoring, detection, and incident response, as well as tools for attack surface management, vulnerability management, and threat intelligence. The company is known for its open-source projects like Metasploit and Velociraptor, which aid in vulnerability research and enhancing cybersecurity frameworks. Rapid7 also emphasizes community and culture, contributing to diversity, equity, and inclusion, and engages in public policy advocacy to strengthen cybersecurity on a broader scale. They serve over 11,000 global companies and deliver expert analysis on attack trends and emergent threats through Rapid7 Labs.

📋 Description

• 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 complex and ambiguous problems, defining interfaces, data contracts, and scalable system boundaries • Partner with ML/AI engineers to design infrastructure that trains, serves, and evaluates disposition models • Establish and champion engineering standards for system design, data modeling, testing, and observability • Lead design reviews and provide technical mentorship to senior and staff engineers • Identify and resolve performance, reliability, and scalability bottlenecks across the distributed investigation pipeline • Collaborate with Product Management to shape requirements and balance speed with long-term platform health • Contribute to cross-team architectural decisions and represent AI-SOC engineering in broader platform and infrastructure forums

🎯 Requirements

• 10+ years of software engineering experience • Demonstrated track record leading complex, high-scale system design across distributed environments • 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) • Strong working knowledge of ML/AI system design, including model serving infrastructure, feature pipelines, embedding systems, or LLM integration • Experience designing systems where correctness, latency, and throughput all matter • Experience working in cloud-native environments; AWS preferred • 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 security domain • Strong written and verbal communication skills • Ability to communicate technical concepts clearly to non-engineering stakeholders • Ability to embody Rapid7's core values • Bachelor's degree or equivalent work experience is not stated; no educational credential required

🏖️ Benefits

• Variable/incentive compensation • Equity • Benefits (where applicable/eligible) • Fair and equitable compensation practices