Senior Detection Engineer II

Instacart

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
CAOntario, CanadaAlberta, CanadaBritish Columbia, CanadaNova Scotia, Canada
Salary
$196,000–$207,000 / yr
Posted
18 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k
This role $202k
$133k most similar roles pay here $217k

This role pays more than 75% of similar roles. Most pay $145,812–$202,750 — the shaded band above. At the midpoint, this role pays about $202k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Instacart

Instacart (Maplebear Inc.) is a North American grocery technology company that operates an online marketplace and delivery service connecting customers with personal shoppers who pick and deliver orders from local retailers. It also sells retail e-commerce software and advertising services to grocers and brands.

Instacart currently has 49 open roles on FindRole.

Listed pay typically runs $196,000–$207,000 across 49 roles with salary data.

Most-posted roles

View all roles at Instacart

At a glance

TL;DR · Senior Detection Engineer II

As a Senior Detection Engineer II on the Detection Engineering team, you will serve as a technical anchor within the Security organization to identify and respond to threats across a cloud-native environment. You will manage the full detection lifecycle by developing high-fidelity logic, hunting for novel attacker techniques, and building SOAR playbooks to automate triage and response actions. Your daily work involves maintaining detection logic across endpoint, cloud, container, and SaaS products while optimizing log ingestion pipelines. The role requires expertise in Python or Golang, experience with AWS, Azure, or GCP, and a deep understanding of macOS internals and attacker TTPs. You will implement detection-as-code workflows using version control and CI/CD pipelines to solve complex forensic problems and improve analyst efficiency within the grocery technology platform's security infrastructure.

What you'll do

  • Develop, tune, and maintain detection logic across endpoint, cloud, container, and SaaS log sources.
  • Translate attacker TTPs into durable detection logic to identify real-world adversary behavior.
  • Optimize log ingestion pipelines and telemetry collection to ensure high-quality data while managing costs.
  • Design and build SOAR playbooks and automation workflows to streamline triage and response actions.
  • Conduct cyber forensic investigations across a variety of diverse log sources.
  • Implement detection-as-code workflows using version control, peer reviews, and CI/CD pipelines.
  • Mentor junior security analysts and engineers on threat hunting and investigation techniques.

What we're looking for

  • 6+ years of experience in detection engineering, incident response, or offensive security.
  • Experience with at least one public cloud platform such as AWS, Azure, or GCP.
  • Deep understanding of attacker TTPs in modern zero trust environments including identity compromise and token theft.
  • Proficient understanding of macOS internals and telemetry for identifying specific threats.
  • Experience implementing detection-as-code workflows using version control, peer review, and CI/CD pipelines.
  • Basic proficiency with Python, Golang, or other programming languages.
  • Relevant certifications such as GCFA, GCFE, GNFA, GREM, OSCP, GCIA, or similar.
  • Background in offensive security, red teaming, or knowledge of machine learning for threat detection is preferred.

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