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Sr. Backend Engineer

YipitData

リモート勤務

勤務地
Remote (India)
勤務時間
Full Time
掲載日
2026年10月10日

応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。

仕事内容

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters: You’ll lead high-impact projects with real business outcomes Rapid Growth: We compress years of learning into months Merit Over Titles: Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention Who Thrives Here? We hire sprinters, not coasters—people who: Choose growth over comfort Lead through challenges Are energized by high expectations It’s not for everyone, and that’s intentional. If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. We are hiring 2 senior software engineers (alternative title: senior backend engineer). One will join our Infrastructure Team, and the other will join our Data Feeds Team. As Our Senior Software Engineer in the Infrastructure Team, You Will be Responsible for: ERP Data Connector Specialist: You'll be the one implementing connectors to fetch ERP data. It's like building a bridge to a treasure trove of information. And not just that, you've got to ensure this data has high availability. So, whether it's the crack of dawn or the dead of night, the ERP data should be accessible without a hitch. Backend API Master: Customers' requirements are constantly evolving, and that's where you come in. You'll be implementing or upgrading backend APIs to fit these new demands like a custom-made glove. Your work will be the driving force behind our ability to keep up with the market. ERP Data Storage Maestro: Take charge of the ERP system’s data storage. It's your kingdom, and you're responsible for all related improvements. Make sure the data is stored efficiently and securely, and is always ready for action. Business-Tech Liaison: Understand the business requirements inside out. Jump right into discussions with the team and bring your A-game to design technical solutions. You'll be the one who bridges the gap between business needs and technical implementation. Service Maintenance and Upgrade Champion: Maintain our existing services like a pro. Dive into iterative upgrades, deploy improvements, and take charge of service governance. Your work will be the glue that holds our services together and keeps them evolving. Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always! As Our Senior Software Engineer in the Data Feeds Team, You Will be Responsible for: Data Pipelines Maestro: You'll be responsible for developing, optimizing, and maintaining super-scalable data pipelines. Whether it's structured data flowing like a well-oiled stream or unstructured data that needs taming, you've got to make sure these pipelines are top-notch for seamless processing. Data Systems Guardian: Existing data systems and services. You bet you'll be the one maintaining and enhancing their stability, reliability, and ensuring high availability. Think of yourself as the shield that keeps our data world running smoothly. Data Architecture Builder: Team up with our amazing crew to construct and refine an expandable, high-performance data architecture. It's like building a digital skyscraper, but with data blocks! Data Services Provider: Partner with different teams across the board. Your mission is to serve up high-quality, rock-solid data services to all our internal users. They'll be relying on you like a lifeline for their data needs. Business-Aligned Data Designer: Get the hang of product and business requirements. Then, design and implement data functionalities that are not only useful but also come with super- intuitive data visualizations. Make data come alive! Third-Party Data Integrator: Oversee the integration and maintenance of collaborative data with our third-party clients. Solve their data mining and analytical headaches, and you'll be the hero of the data realm. Global Team Player: Work hand-in-glove with our US/SG/China teams. Be flexible with work hours as the data world never sleeps, and we need you to be on top of your game, always! Data Governance Enforcer: Enforce the best practices in data governance, security, and compliance. You're the gatekeeper of sensitive information, and you've got to keep it safe at all costs. This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST. You Are Likely To Succeed If you have: Bachelor's degree in Computer Science, or related majors, 10+ yrs backend experience. Solid computer foundation and programming skills, familiar with common data structures and algorithms. Excellent in one of the following languages: Go/Python Familiarity with one of open source components: Mysql/Redis/Message Queue/Nosql. Familiarity with ElasticSearch OR Spark (for Data Feeds Team) Experience in architecture and developing large-scale distributed systems. (for Infrastructure Team) Excellent logic analysis capabilities, able to abstract and split business logic reasonably. Exposure to cloud infrastructure, such as kubernates/docker, Azure/AWS/GCP. Familiarity with ERP systems. What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice Originally posted on Himalayas

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必須条件と歓迎条件を分けて確認し、勤務時間、報酬、勤務地が掲載されている場合は目を通しましょう。リモート勤務でも、居住国、就労資格、勤務時間帯が指定されることがあります。現在の募集状況と詳しい条件は企業に確認してください。

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仕事探しに関するよくある質問

英語の求人が表示されるのはなぜですか?

職種名や説明文は企業が作成したものです。条件や要件を変えないように原文を掲載しています。操作画面とこのガイドは日本語です。日本語の検索で見つからない場合は、「software engineer」のように、掲載言語の職種名やスキル名でも検索してみてください。検索語が自動翻訳されるわけではありません。

リモート求人なら、どの国からでも働けますか?

必ずしもそうではありません。居住国、就労資格、勤務時間帯が指定されている場合があります。元の求人ページで条件を確認してください。記載がない場合は、自分の居住地から応募できると判断する前に企業へ確認しましょう。リモートという表示だけでは、勤務地の制限がないことは分かりません。

検索結果が出ない場合はどうすればよいですか?

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応募書類とカバーレターはどう調整すればよいですか?

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