Principal Software Engineer

About the Role

We are representing a confidential cybersecurity organization in their search for a Principal Software Engineer, AI-SOC to serve as a technical anchor on a team building an autonomous investigation platform. This is a hands-on, high-impact role for an engineer who brings deep expertise in data systems, distributed architecture, and ML/AI and wants to apply that expertise to a domain where the stakes are real.

The engineering team operates at the intersection of managed security operations and agentic AI, developing capabilities that triage alerts at machine speed so analysts can focus on high-value decisions. The team tackles hard problems in real-time data processing, investigation orchestration, and intelligent disposition.

Responsibilities

• Architect and implement core platform components across the 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

What We're Looking For

• 10+ years of software engineering experience, with a demonstrated track record of 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
• Proven experience designing systems where correctness, latency, and throughput all matter, with the ability to articulate trade-offs clearly
• Track record of taking ownership of ambiguous, cross-cutting technical problems and driving them to well-reasoned, well-documented solutions
• 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
• Ability to build strong working relationships with product, data science, and platform engineering peers, and communicate technical concepts clearly to non-engineering stakeholders
• Strong written and verbal communication skills; you write clear design docs, give direct feedback, and can align stakeholders around technical direction

How We Work with You

Our talent team at Get A Job.ai partners with leading organizations to connect exceptional candidates with opportunities that match their expertise. When you apply through our platform, a dedicated recruiter will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client and guide you through their interview process. Please apply exclusively through Get A Job.ai—direct contact with the client is not part of our process.

Pay

Pay details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to fair and equitable recruiting practices. We welcome applications from candidates of all backgrounds and evaluate each submission based on skills, experience, and role requirements.