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トレンド企業

トレンド企業

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求人Instacart

Senior Detection Engineer

Instacart

Senior Detection Engineer

Instacart

United States - Remote

·

Remote

·

Full-time

·

1w ago

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

Instacarts Detection Engineering team sits at the core of our Security organization, building and operating the systems that identify, surface, and respond to threats across one of North America's largest grocery technology platforms. We own the full detection lifecycle — from telemetry collection and signal design to automated response — across a complex, cloud-native environment spanning endpoint, cloud, container, and SaaS.

As a Senior Detection Engineer, you'll be a technical anchor on the team: developing high-fidelity detection logic, hunting for novel attacker techniques, and raising the bar for how we think about coverage, quality, and scale. You'll work closely with Engineering, Red Team, Incident Response, Fraud, and Trust & Safety to ensure our detections reflect real-world adversary behavior — not just signatures.

We operate with a detection-as-code mindset: everything we build is versioned, tested, and deployed through repeatable pipelines. We care deeply about reducing noise, improving analyst efficiency through automation and SOAR, and continuously evolving our coverage as the threat landscape shifts.

If you're energized by hard forensic problems, enjoy translating attacker TTPs into durable detection logic, and want to help shape the future of a growing security function, this role is for you.

About the Job

  • Develop, tune, document, and maintain detection logic across multiple log sources including endpoint, cloud, container, and SaaS products.
  • Assist in cyber forensic investigations across a variety of log sources
  • Optimize log ingestion pipelines and telemetry collection to ensure high-quality, actionable security data while managing volume and cost
  • Design and build SOAR playbooks and automation workflows to streamline detection triage, enrichment, and response actions
  • Mentor junior security analysts and detection engineers on threat hunting methodologies, detection logic development, and investigation techniques

About You

Minimum Qualifications:

  • 5+ years of experience in a detection engineering, incident response, or offensive security role.
  • Experience with 1 or more public cloud platforms (AWS, Azure, GCP)
  • Deep understanding of attacker TTPs across modern zero trust environments, including identity compromise, token theft, and abuse of trust boundaries
  • Proficient understanding of macOS internals and telemetry available to identify macOS specific threats
  • Experience implementing detection-as-code workflows including version control, peer review processes, automated testing, and CI/CD deployment pipelines
  • Basic proficiency with Python, Golang, or other programming languages
  • Relevant certifications: GCFA, GCFE, GNFA, GREM, OSCP, GCIA, or similar

Preferred Qualifications:

    • Background in offensive security or red teaming
  • Knowledge of machine learning for threat detection

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ

$230,000—$242,500 USD

WA

$220,000—$232,000 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$211,000—$222,500 USD

All other states

$192,000—$202,500 USD

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Instacartについて

Instacart

Instacart

Public

Maplebear Inc., doing business as Instacart, is an American retail media and delivery company based in San Francisco that operates a grocery delivery and pick-up service in the United States and Canada accessible via a website and mobile app.

1,001-5,000

従業員数

San Francisco that operates a grocery delivery

本社所在地

$39B

企業価値

レビュー

3.5

10件のレビュー

ワークライフバランス

4.2

報酬

3.8

企業文化

3.5

キャリア

2.8

経営陣

2.5

65%

友人に勧める

良い点

Flexible hours and scheduling

Good pay for the work

Great work-life balance

改善点

Pay could be better

Job security concerns

Management unresponsiveness

給与レンジ

1,788件のデータ

Mid/L4

Senior/L5

Staff/L6

Mid/L4 · Data Scientist L4

0件のレポート

$248,100

年収総額

基本給

-

ストック

-

ボーナス

-

$210,885

$285,315

面接体験

5件の面接

難易度

3.6

/ 5

期間

21-35週間

内定率

60%

体験

ポジティブ 40%

普通 60%

ネガティブ 0%

面接プロセス

1

Application Review

2

Recruiter/Phone Screen

3

Technical/Coding Interview

4

System Design Interview

5

Behavioral Interview

6

Onsite/Final Round

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge