Senior/Staff Software Engineer

This is a role posted by Reval Recruiting on behalf of a client

Senior/Staff Software Engineer

Location:
New York

This 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.

Compensation:

• $180,000 - $250,000 / yr