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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.
Here’s a smattering of approaches important to us and the technologies we use:
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Everything we do is “as-code” in version control. We don’t like clicking buttons or doing things manually.
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All development or infra config changes go through a pull-request process, so you’ll always have a say to thumbs up or down things you catch.
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Everything should have test cases and they go through a continuous integration process.
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We understand the importance of logs and metrics, so having visibility to things you need to see to do your job isn’t an issue. And if you need to add more metrics or see more logs, it’s within our control to improve that.
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We try to own as much of the platform as we reasonably can. You don’t need to rely on other teams outside our own to improve the stack or change the way we do things.
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Kafka/Streaming Stack:
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Code: Spring Boot (Java/Kotlin), Restful API, Golang
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Platform: Apache Kafka 2.x, TAP, GCP, Ansible, Terraform, Docker, Vela
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Alerting/Monitoring: Grafana, Kibana, ELK stack
As a Lead Engineer on Target’s Streaming Platform Team, you'll …
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Help build out the Kafka/Streaming capability in India
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Write and deploy code that enhances the Kafka platform
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Designs infrastructure solutions that support automation, self- provisioning, product health, security/compliance, resiliency, zero- call aspiration, and are Guest/Team Member experience focused
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Troubleshoot and resolve platform operational issues
Requirements:
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10+ years of experience developing in JVM-based languages (e.g. Java/Kotlin)
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Ability to apply skills to solve problems, aptitude to learn additional technologies or go deeper in an area.
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Has good basic programming/infrastructure skills and is able to quickly gather the skills necessary to accomplish the task at hand.
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Intermediate knowledge and skills associated with infrastructure- based technologies
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Works across the team to recommend solutions that are in accordance with accepted testing frameworks.
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Experience with modern platforms and CI/CD stacks (e.g. GitHub, Vela, Docker)
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Highly productive, self-starter and self-motivated
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Passionate about staying current with new and evolving technologies
Desired:
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10+ years of experience developing high quality applications and/or supporting critical enterprise platforms
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Experience with Kafka, Containers(k8s), Zookeeper, worked with any one of the major public cloud providers ( GCP/AWS/AZURE)
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Familiarity with Golang and microservices architecture is a big plus
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Participate in day-to-day support requests by performing the admin tasks.
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Install and maintain standard Kafka components: Control Center, Zoo Keeper, and Brokers
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Strong understanding of infrastructure/software and how these systems are secured, analyzed, and investigated.
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Is a contact point for their team and is able to help answer questions for other groups and/or management?
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Partner with teams to prioritize and improve services throughout the software development lifecycle
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Personal or professional experience contributing to open-source projects
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Innovative mindset – willingness to push new ideas into the company
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Skills:
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Excellent problem-solving and analytical skills.
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Strong communication and interpersonal skills, with the ability to articulate complex technical concepts to principal engineers, product manager, management stakeholders.
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Leadership experience, with a track record of mentoring and developing engineering talent.
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Must Have Skills:
Java/Kotlin, ReactJS/Angular and Postgre
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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
Junior/L3
Mid/L4
Director
Junior/L3 · Decision Sciences Analyst
1件のレポート
$104,000
年収総額
基本給
$80,000
ストック
-
ボーナス
-
$104,000
$104,000
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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News
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