Senior Distributed Systems Engineer

ミドルウェア開発エンジニア

ミッション

We are seeking engineers who can turn “nothing” into products.

Treasure Data is changing the data management landscape. We provide an industry leading, cloud-based Big Data platform on which our many customers are processing an incredible amount of data every day. If you enjoy using both halves of your brain to scope and frame undefined problems using intuition, common sense, relevant data, and strong academic knowledge of computer science fundamentals, and thrive in a collaborative work environment, we have a match here!

In this position, you will design and implement key features and components of our technology, which is a robust and scalable data platform on Hadoop/Hive deployed in a Cloud stack. You can also expect to have direct contact with our customers, receiving their feedback and incorporating their input into our product.

On top of all this goodness, we're also contributing to open source software such as fluentd, Hive, Presto, Hadoop, and MessagePack, so you can expect to participate in that, too.

You get bonus points for having experience programming in Hadoop or with Ruby, performance analysis, and/or performance optimization.

職務内容

Things you will do
* Solid experience designing and developing distributed middlewares to support heavy data analysis systems
* Designing and architecting improvements and new features in cooperation with the product team
* Java/Scala and Ruby programming as well as contribution back to the open source community whenever possible
* Development of software for operation automation and monitoring tools
* Performance improvements in a wide span of networks and middleware applications in public or private clouds
* Perform operations on middlewares hosted in the cloud

スキル・経験

Your background includes
* A BS or MS in Computer Science or a related field
* A solid understanding of computer science (algorithms, data structures etc.)
* Strong UNIX systems programming background which should include experience with multithreading, distributed computing, and related * challenges, especially around middlewares built in Java/Scala and/or Ruby
* Strong experience working with and tuning the JVM
* Knowledge of Hadoop, Presto, MySQL, PostgreSQL or other open-source distributed databases/engines
* Experience with Linux networking internals and kernel tuning
* Good understanding of infrastructure as code and operations
* Significant contributions to the open-source community, in the form of ownership or patching / pull requests
* Solid read/written English communication skills and basic verbal skills as well

We would be thrilled if you
* Had experience building and managing data analytic services
* Were knowledgeable around operations on services running in the cloud
* Had expertise with load balancing and building service redundancy leveraging the cloud
* Are familiar with security best practices
* Source code level familiarity with Hadoop, Presto, Spark, or other near real-time batch or MPP processing engines
* Are familiar with MessagePack, Fluentd, Embulk, and/or Digdag.
* Have a track record building products that support a large user base
* Have a passion for performance optimization
* Have a public Github account with interesting code contributions to show

About Us

Treasure Data provides an end-to-end, fully managed cloud service (data acquisition, storage and analysis capability) for Big Data that is trusted and simple. As the original developers of Fluentd, an advanced open-source log collector specifically designed to solve the big data log collection problem, Treasure Data solves the problems for companies wanting the ability to manage their big data needs.

Treasure Data is backed by top investors like Sierra Ventures and Scale Venture Partners. In addition to our Silicon Valley headquarters, we have offices in Tokyo and Seoul.

Agencies and recruiters, we cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!

現場で使われている技術

言語
フレームワーク
データベース
ソースコード管理
プロジェクト管理
情報共有ツール
その他

基本要項

勤務地 東京都千代田区丸の内1-6-5 丸の内北口ビル6F
雇用形態
正社員(試用期間:6ヶ月)
労働時間区分 専門業務型裁量労働制(みなし労働時間/日:8時間)
勤務時間
就業時間:09:00〜18:00(所定労働時間:8時間、休憩:60分)
残業時間:20時間以内
※ 就業時間は各自のライフスタイルに合わせて勤務可能です。
給与
年収:600万円〜1200万円
月給:500,000円〜1,000,000円 (基本給:500,000円〜1,000,000円)
賃金形態:年俸制
残業手当: 無
昇給:有
※ 上記年収はあくまで想定額であり、経験やスキル等を考慮の上、同社規定により決定します。
賞与:パフォーマンスボーナス・業績連動ボーナス
休日・休暇
完全週休2日制
有給休暇:10日〜20日
休日日数:123日
完全週休二日制、年次有給休暇(初年度は入社時期により最大10日間)、夏季休暇 (3日間)、年末年始休暇 (5日間)、特別休暇(慶弔等)
福利厚生・その他
通勤手当、健康保険、雇用保険、労災保険、厚生年金
交通費全額支給(当社規定による)、フリーランチ、お菓子・飲み物無料

企業情報

企業名 トレジャーデータ株式会社
URL https://www.treasuredata.co.jp/
従業員数 150人
所在地 東京都千代田区丸の内1-6-5 丸の内北口ビル6F [Google Map]

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