採用
必須スキル
Python
Docker
Kubernetes
Terraform
Linux
PostgreSQL
About Us
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
The Endpoint Security team is looking for a motivated Senior Engineer to join us in developing the tools that keep Target’s endpoints secure. As a member of this high performing team, you’ll use DevOps delivery methods, automation, and GenAI to improve the efficiency and security of our endpoints. Our team is focused on innovation, fast problem-solving and a culture of inclusion.
As a Senior Engineer on Target’s Endpoint Security team, you will:
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Develop and enhance products that keep our endpoints secure
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Use GenAI, scripting languages, open-source tools, and vendor products to build robust, well-tested, automated, and scalable security controls
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Use GenAI to improve the efficiency of day to day tasks and operations
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Build and implement high volume, high integrity data pipelines with stability and observability
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Lead the evaluation, testing, design, and implementation of endpoint security tools
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Support and maintain products that secure hundreds of thousands of endpoints
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Test endpoint security tool capabilities against threats in lab environments
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Research and improve upon industry best practices
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Work closely with partner teams
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Mentor engineers and improve engineering practices
Core responsibilities are described within this job description. Job duties may change at any time due to business needs.
About you:
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BS Degree in computer science or equivalent experience
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Designs, implements, and supports high volume data pipelines for security and compliance with tools such as Hive, HDFS, Big Query, GCS, Power BI, and Looker.
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Designs, implements, and supports open source and vendor security tools such as Next-Gen Antivirus (NGAV), Endpoint Detection and Response (EDR), and security logging pipelines.
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Leads as an AI Builder persona – using GenAI to build AI agents and enhance the efficiency of day to day workflows
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Builds automated test and deploy pipelines for endpoint security tools (CI/CD)
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Experience with infrastructure as code and infrastructure automation and orchestration tools such as Ansible, Kubernetes, Chef, Terraform, and public cloud equivalents
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Builds and manages IT infrastructure and supporting applications, such as Linux servers, client operating systems, ELK, Docker, etc.
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Hands-on experience with a scripting language such as Python or Bash
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Experience developing stable solutions with observability tools such as Telegraf, Grafana, and OTEL.
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A desire to build subject matter expertise in threat detection, prevention, and response
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Experience leveraging PostgreSQL or other relational databases
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Designs new testing methods and resolves routine and non-routine technical issues with minimal assistance
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A desire to use breach and attack system tools to validate security control effectiveness against common threat actor techniques
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Collaborative mindset centered on team goals
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Self-starter with strong problem-solving skills and sense of ownership
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Stays current with new and evolving technologies via formal training and self-directed education
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Strong verbal and written communication skills
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
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Targetについて

Target
PublicTarget Corporation, doing business as Target, is an American retail corporation headquartered in Minneapolis, Minnesota, United States. Target operates retail stores. It is the eighth-largest retailer in the United States and is a component of the S&P 500 Index.
10,001+
従業員数
Minneapolis
本社所在地
$78B
企業価値
レビュー
3.7
10件のレビュー
ワークライフバランス
3.2
報酬
2.8
企業文化
4.1
キャリア
3.5
経営陣
3.4
68%
友人に勧める
良い点
Friendly coworkers and team environment
Flexible scheduling and hours
Inclusive and diverse workplace culture
改善点
Compensation below industry standards
High-paced and demanding work environment
Management and leadership issues
給与レンジ
51件のデータ
Mid/L4
Mid/L4 · Lead Cybersecurity Analyst
1件のレポート
$204,612
年収総額
基本給
$157,394
ストック
-
ボーナス
-
$204,612
$204,612
面接体験
46件の面接
難易度
4.0
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 65%
普通 21%
ネガティブ 14%
面接プロセス
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
よくある質問
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
ニュース&話題
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