Senior Software Engineer - Rapid Development Team

Dropzone AI

18h•$180,000 - $200,000•Remote

About The Position

Dropzone AI’s Engineering Rapid Development Team designs and delivers core capabilities and improvements for the company’s autonomous investigation platform. The Senior Software Engineer helps maintain and expand SOC agents so the platform can serve a wide range of customer environments and adapt to an evolving security landscape. The role focuses on developing agent capabilities, improving investigation logic and pipelines, learning from AI investigations, and translating those findings into product improvements. It also involves partnering with go-to-market and customer success teams, supporting customer-facing technical needs, and participating periodically in a 24x7 on-call rotation. Dropzone AI is a venture-backed cybersecurity company using generative AI to augment security analysts by offloading repetitive work. The position is fully remote, with company-provided equipment. Semi-frequent local and national travel to professional office settings and other events is expected, including some overnight travel. The stated base salary range is $180,000–$200,000 USD. Compensation also includes significant new-hire equity grants and a benefits package.

Requirements

Proven experience designing, building, and maintaining security-focused software products or large-scale security tooling.
Strong Python development skills and the ability to produce clean, maintainable, production-grade code.
Proficiency with AI coding tools and agentic workflows.
Familiarity working with clients to deliver fixes that balance long-term product goals and maintainability.
Expertise integrating with and building on security platforms such as SIEMs, SOAR, EDR, and cloud security services.
Solid understanding of modern security operations practices, detection engineering, common attack techniques, and vulnerabilities.
Ability to lead end-to-end feature development, from sparse problem definitions through design, implementation, testing, and deployment.
Comfort making decisions that balance rapid delivery with long-term maintainability.
Early-stage startup mindset, including thriving amid ambiguity, executing quickly, and translating ambiguity into shipped features.

Responsibilities

Lead the design and development of platform capabilities and code fixes that enable AI agents to investigate and respond to security alerts autonomously.
Evolve investigation logic and pipelines to handle new classes of security alerts while balancing accuracy, performance, and maintainability.
Review and analyze AI investigations, identify strengths, weaknesses, and opportunities for improvement, and translate insights into product enhancements.
Partner with go-to-market and customer success teams to inform technical direction, prioritize features, and address impactful problems for defenders.
Drive quality through automated testing, performance monitoring, and secure coding practices.
Periodically participate in a 24x7 on-call rotation.
Improve the product by writing investigation flows, building integrations with security tools, and fixing bugs.
Collaborate with customer-facing teams to provide fixes for customer pain points and security tooling limitations.