支持解决方案工程师(L5)数据平台,大数据/分析
Support Solutions Engineer (L5) Data Platform, Big Data / Analytics
在Netflix,我们的使命是娱乐全世界。我们正在书写下一章——突破叙事、全球粉丝的边界,让不可想象成为现实。我们是一支梦想团队,痴迷于将创意、直觉和尖端技术融合时带来的不安与兴奋。加入我们,成为未来的一部分。
关于工程支持组织
工程支持组织的目标是使平台工程能够有效地、可持续地扩展其对客户的支持。该团队是客户(即我们的员工)工程支持需求的一线资源——处理、排查并解决客户请求和问题。此外,该团队还将关注工作方式、客户倡导、支持工具、平台产品供应、文档和开发者教育。
我们的使命
为Netflix的开发者社区提供卓越的支持体验。倡导我们的客户,跟进问题并在合理时间内解决。如果存在阻碍无法立即解决,我们会沟通状态,并确保有透明度说明延迟的原因。
向生产力和数据平台工程团队的合作伙伴提供关于所支持工具的见解、反馈和客户情绪的倡导。与产品管理、开发者教育和工程团队合作,跟踪并保持对持续问题的可见性,并传达客户需求,以确保这些领域的改进得到优先考虑。
推动协作努力,减少产品摩擦,提高可用性,使平台工程能够为开发者社区构建、部署和交付高度功能性的解决方案。
职位描述
我们正在寻找一位热爱数据平台基础设施和工具、客户服务以及自动化的支持解决方案工程师。您将负责监控和处理客户的请求,排查问题,解决问题,自动化支持需求,开发支持文档和操作手册,改进和维护支持工具和自动化,了解我们的产品供应,并持续寻找改善工程支持体验的方法。
我们理想的团队成员有直接面向客户的工程支持经验,编写和构建了全面的自助知识库,并具备基础设施相关知识。
查看英文原文
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
About the Engineering Support Organization
The aim of the Engineering Support Organization is to enable Platform Engineering to effectively and sustainably scale the support they provide to their customers. The team is the frontline resource for the engineering support needs of our customers (i.e., our workforce) - handling, troubleshooting, and resolving customer requests and issues. In addition, the team will focus on ways of working, customer advocacy, support tooling, platform product offerings, documentation, and developer education.
Our Mission
Deliver an excellent support experience to Netflix’s developer community. To advocate for our customers, follow through on issues and resolve them in a reasonable time. If blockers prevent immediate resolution, we communicate status and ensure there is visibility into why there is a delay.
Provide insights, feedback and champion customer sentiment about the tools we support to our partners across Productivity and Data Platform Engineering. Partner with Product Management, Developer Education and Engineering to track and maintain visibility into ongoing issues and communicate customer needs to ensure improving in these areas is prioritized.
Drive collaboration efforts to reduce product friction and increase usability so that Platform Engineering can build, deploy and deliver highly functional solutions for the Developer Community.
The Role
We are looking for a Support Solutions Engineer with a passion for data platform infrastructure and tooling, customer service, and automation. You will be responsible for monitoring and handling our customers’ requests, troubleshooting, solving issues, automating support needs, developing support documentation and runbooks, improving and maintaining support tools and automation, understanding our product offerings, and continuously looking for ways to improve the engineering support experience.
Our ideal team member has first-hand experience working in customer-facing, engineering support roles, writing and building a comprehensive self-service knowledge base and has knowledge of infrastructure, internal tooling, platforms, and cloud computing. You are excellent at understanding and solving complex and ambiguous problems and constantly seek improvement. As an Engineer in this role, we need a candidate who can understand our complex offerings on a technical level, be hands-on in the development of our support automation tooling, and recommend product and operational improvements based on customer interactions.
What you’ll need to be successful:
- A minimum of 5 years of professional support or engineering experience, particularly in Big data technologies including and not limited to Spark, Trino, Druid, Iceberg, Hadoop framework, Kafka and Flink.
- Prior experience supporting platforms built using open source technologies such as Apache Kafka, Spark, and Hadoop.
- You have worked with big data warehouse storage systems (e.g. Iceberg)
- You have at least 1 year of experience in providing technical support for Kafka clusters or other pub/sub systems like Google Cloud Pub/Sub, RabbitMQ, etc.
- Ability to read and write SQL queries to pull required complex data to support any reported issues/product defects
- Prior Experience with cloud infrastructure and/or container orchestration platform
- You have the desire and aptitude to learn how the pieces of the big data platform work together .
- Ability to adapt to new tools and technologies quickly, and a willingness to continuously learn and grow in the field of big data and data movement.
- You are a data-driven and evidence-based decision-maker
- You are proficient in at least one programming language, ideally Python and/or Java, enabling you to contribute to codebases across related domains
- Experience in developing tools and scripts to automate processes and improve efficiency, with a strong focus on continuous improvement.
- Demonstrated ability to provide superior customer support across a complex organization, with a focus on enhancing the customer experience.
- Excellent written and verbal communication skills, with an appreciation for the importance of comprehensive documentation.
- Strong collaboration skills and experience working with cross-functional teams.
- Passion for creating technical documentation and tutorials, with a deep understanding of what makes an effective knowledge base.
- Strong problem-solving skills and the ability to troubleshoot complex issues in a dynamic environment
- Knack for providing proactive feedback during early development stages of a product offering based on subject matter expertise and user sentiment.
Other attributes that will excite us:
- Experience building GenAI solutions for Support is a big plus
- Experience building and maintaining mature support infrastructure
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.
Originally posted on Himalayas