Senior Software Engineer - AI-Driven Security Platform

This is a role posted by Reval Recruiting on behalf of a clientSenior/Staff Software EngineerLocation: New YorkThis role is posted on behalf of the following client: A venture-backed cybersecurity startup building an AI-native defense platform to help organizations detect and respond to modern threats. The team includes experienced founders and engineers from leading cloud and security companies, and is scaling to support a growing customer base.Role Overview:The client is building a large-scale data platform from the ground up, ingesting and analyzing massive volumes of streaming telemetry from cloud environments, identity providers, network logs, and more. This is a high-ownership, high-impact role working across critical parts of the system—from customer-facing experiences to distributed data and analytics infrastructure—depending on strengths and the problems at hand. The position involves defining architecture, making key technical decisions, and driving projects end-to-end in an environment that values quality, sound judgment, and comfort with ambiguity.What You'll Do:Own and deliver major product and platform initiatives by designing, building, and shipping end-to-end features and systems that power detection, analytics, and the customer experience.Build and scale distributed systems, including services and pipelines that ingest, process, and analyze large volumes of security telemetry with high reliability and performance.Drive technical direction by making architectural decisions, balancing speed and quality, collaborating closely with product/design/security/AI teams, and embracing AI-native development practices to increase engineering velocity and quality.Who You Are:6+ years of professional software engineering experience building and operating production systems; strong backend experience (e.g., Python, Go, or similar) with APIs/services.Hands-on experience with distributed systems, data pipelines, or large-scale platforms; familiarity with cloud infrastructure (AWS/GCP/Azure) and modern deployment practices (containers, orchestration, CI/CD).Strong engineering judgment and product mindset, able to reason about performance/reliability/scalability, communicate clearly across disciplines, and mentor other engineers.J-18808-Ljbffr