Staff Security Software Engineer, Detection & Response

Quick Facts

• Role: Staff Security Software Engineer (Detection & Response)

• Focus: Detecting and responding to internal and external security threats in a cloud-first environment

Description

You will serve as a senior technical resource for Detection & Response, improving detection engineering capabilities and adapting to emerging threats. The role includes building alerting and automation workflows, managing logging pipelines, developing internal tooling, and leading investigations and incident response through an on-call rotation. You will also leverage AI to streamline and enhance detection engineering efficiency, accuracy, and coverage.

Responsibilities

• Identify detection capability gaps and help define the team’s strategy and roadmap

• Build new detection capabilities; improve and evolve the detection engineering program

• Develop alerts, automation workflows, and internal tooling for detection and response

• Manage logging pipelines and onboard new logging sources to improve coverage

• Respond to alerts, lead incidents during on-call rotation, and hunt for previously undetected threats

• Collaborate with cross-functional partners across Security and Engineering

• Leverage AI to improve speed, accuracy, and coverage; validate AI-assisted work

Requirements

• Broad and deep knowledge of intrusion detection and incident response with an engineering focus in a modern, cloud-first environment

• Knowledge of attacker lifecycle, common attack techniques, and detection methods

• Hands-on SIEM query writing for alerting, response, and threat hunting

• Experience consuming and applying threat intelligence to improve detections

• Familiarity using multiple telemetry sources such as EDR, Osquery, and firewall logs

• Understanding of networking and network security fundamentals (TCP/IP)

• Depth in OS internals (macOS ideally, otherwise Linux/UNIX or Windows), including persistence and privilege escalation

• Scripting/automation experience (e.g., Python, Go, Ruby) for tool development or integrations

• Demonstrated ability to use AI while critically evaluating and verifying AI-assisted work

• High integrity and ownership; protect sensitive data and avoid over-reliance on AI

• Bachelor’s degree in Computer Science/Cybersecurity or related field, or equivalent experience

• Available for in-office collaboration 1–2 times every 6 months; no relocation assistance

Benefits

• Base salary range: $177,185–$364,795 USD (US applicants only)

• Equity eligibility

• Additional benefits and culture information available via the employer benefits page

AI may be used to streamline and enhance the efficiency, accuracy, and coverage of security engineering, with strong emphasis on verification and validation.