高级软件工程师(云基础设施)
Senior Software Engineer (Cloud Infrastructure)
关于公司:
YipitData 是颠覆性经济领域领先的市场研究和分析公司,最近从 Carlyle Group 获得最高 4.75 亿美元融资,估值超过 10 亿美元。
我们每天分析数十亿个替代数据点,为拼车、电子商务市场、支付等提供准确、详细的洞察。我们的按需洞察团队使用专有技术来识别、授权、清洗和分析许多世界最大投资基金和企业依赖的数据。
连续三年,我们被列为 Inc 最佳工作场所之一。我们是一家快速增长的科技公司,由 Carlyle Group 和 Norwest Venture Partners 投资。我们的办公室位于纽约、奥斯汀、迈阿密、丹佛、山景城、西雅图、香港、上海、北京、广州和新加坡。我们培养以员工为中心的文化,注重精通、自主性和透明度。
职位描述:
我们正在招聘一名高级软件工程师,帮助现代化、扩展和运营支撑 YipitData 数据密集型产品、智能客户体验和工程团队的共享云基础设施。向云基础设施主管汇报,您将推动关键系统上的站点可靠性工程和 DevOps 计划,这些系统是我们的客户全天候依赖的。
您将使用 AWS Cloudformation、Databricks、Kubernetes 和 Terraform 构建现代技术栈。
这是一个需要亲自参与的工程角色,拥有重要的所有权。您将帮助构建可靠、可重用的基础设施能力;改进工程师开发、部署、监控和操作云技术的方式;并加强我们在可靠性、事件管理、灾难恢复和技术效率方面的做法。您将与平台、应用和数据工程师紧密合作,同时为一个小而高杠杆的基础设施团队做出贡献。
基础设施团队负责共享平台和能力,而相邻的数据平台、数据工程和应用团队负责他们自己的应用和数据产品。您将与这些团队合作,提供顺畅的集成、操作指导和可靠的基础设施,帮助他们快速且安全地推进。
请注意,我们期望高级软件工程师按照东海岸的工作时间工作。
作为我们的高级软件工程师,您将:
- 使用 AWS、Kubernetes、Terraform、Databricks、Cloudflare 和其他相关工具设计、构建和运营共享云基础设施
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About Us:
YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B.
We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on.
For three years and counting, we have been recognized as one of Inc’s Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency.
About the Role:
We are hiring a Senior Software Engineer to help modernize, scale, and operate the shared cloud infrastructure that powers YipitData’s data-intensive products, agentic customer experiences, and engineering organization. Reporting to the Head of Cloud Infrastructure, you will drive forward Site Reliability Engineering and DevOps initiatives on mission-critical systems that our customers rely on 24/7. You will work on a modern tech stack built with AWS Cloudformation, Databricks, Kubernetes, and Terraform.
This is a hands-on engineering role with meaningful ownership. You will help build reliable, reusable infrastructure capabilities; improve how engineers develop, deploy, observe, and operate cloud technologies; and strengthen our approach to reliability, incident management, disaster recovery, and technology efficiency. You will collaborate closely with platform, application, and data engineers while contributing to a small, high-leverage infrastructure team.
The infrastructure team owns shared platforms and capabilities, while adjacent Data Platform, Data Engineering, and application teams own their applications and data products. You will partner with those teams to provide smooth integrations, operational guidance, and dependable infrastructure that helps them move quickly and safely.
Please note we expect the Senior Software Engineering to work East Coast hours.
As Our Senior Software Engineer You Will:
- Design, build, and operate shared cloud infrastructure using AWS, Kubernetes, Terraform, Databricks, Cloudflare, and related cloud-native technologies.
- Deliver SRE and DevOps initiatives that improve reliability, scalability, observability, deployment safety, and operational readiness.
- Build reusable infrastructure modules, automation, and self-service workflows that reduce manual work and improve the developer experience.
- Help define and implement service-level indicators, service-level objectives, monitoring, alerting, and error-budget practices for critical systems.
- Participate in incident response and improve operational outcomes through clear runbooks, effective post-incident reviews, and durable corrective actions.
- Strengthen disaster-recovery readiness through recovery planning, automation, testing, and remediation of identified gaps.
- Improve CI/CD workflows and infrastructure delivery so engineering teams receive faster feedback and can deploy confidently.
- Partner with application, Data Platform, and Data Engineering teams to understand infrastructure needs and help teams operate their workloads effectively.
- Improve cloud efficiency through thoughtful architecture, capacity planning, Kubernetes resource optimization, cost visibility, and automation.
- Contribute to technical standards, architecture decisions, documentation, and the evolution of the team’s sustainable 24/7 operating model.
You Are Likely To Succeed If:
- You have 4+ years of relevant software, infrastructure, SRE, platform engineering, or DevOps experience, with hands-on experience using AWS, Kubernetes, Datadog, Databricks, and Terraform in production environments.
- You have a strong interest in building AI-native and data intensive applications and systems, working closely with Databricks, OpenAI, Anthropic, and open source AI tools to create reliable and efficient AI solutions.
- You write reliable, maintainable software and automation and are comfortable working across infrastructure, systems, and application boundaries.
- You have operated business-critical production systems and understand observability, incident response, operational readiness, and root-cause analysis.
- You have experience improving CI/CD systems, infrastructure as code, deployment workflows, or internal developer platforms.
- You understand reliability concepts such as SLIs, SLOs, error budgets, capacity planning, and disaster-recovery objectives. Familiarity with observability solutions like Datadog is a plus.
- You can independently own projects, make sound technical tradeoffs, communicate clearly, and collaborate effectively with engineers across multiple teams.
- You are motivated by reducing engineering friction and creating reusable solutions rather than repeatedly solving the same problem manually.
- You are comfortable participating in an on-call or incident-response rotation and helping the team design a sustainable operational model.
- Experience supporting data-intensive SaaS, analytics, familiarity with big data analytics, or rapidly scaling technology environments is a plus.
- You hold a Bachelor’s degree or have equivalent practical experience.
What We Offer:
- We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, 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. See more on our high-impact, high-opportunity work environment above!
- The annual base salary range for this position is anticipated to be $168,000 - 185,000. Final compensation may be determined by a number of factors, including, but not limited to, the applicant’s experience, knowledge, skills, abilities, and internal team benchmarks.
- The compensation package also includes equity.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Denver, Mountain View, and Seattle. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
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.
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