新近A轮SaaS公司Klarity招聘DevOps & Data Engineer

Klarity新近融了A轮，正在拓展团队，期待有志之士加入！Company Website

At Klarity Health, we are on an ambitious mission to transform healthcare delivery by enabling autonomous practices. Our ultimate impact is to allow more patients to be served well, timely, and affordably by their providers of choice. We make this social mission happen by empowering care providers through tech-enabled solutions.   
We are delivering impact. Within a year of the launch, Klarity has served hundreds of providers, extending its services to tens of thousands of patients across 30 states. Providers using Klarity technologies and services have received 990+ reviews with an average score of 4.96 out of 5.
We are growing fast. Our team consists of serial entrepreneurs, healthcare veterans and front-line providers, and product and engineering professionals who have worked at Google, Uber, Shippo, Shopee, SenseTime, Farfetch, and Daimler. We are quickly expanding and hiring top-tier entrepreneurial-minded individuals to build solutions for an industry that needs more support.
We are well-capitalized. Our investors include top-tier VCs and successful entrepreneurs, such as Atypical.Ventures, Mucker Capital, Uphonest Capital, Zhenfund Capital, Zoom, etc.
You’ll be joining the Engineering team as an essential member of the R&D org. The team is dedicated to solving customers’ problems and delighting user experiences. You have the opportunity to build technologies that our healthcare providers love and amplify their impact on patients. If you resonate with our mission, then we’d like to talk with you. 

About This Role

As the DevOps and Data Engineer, you’ll be building the foundations of DevOps and Data Engineering for our young R&D org. You will be responsible for designing, implementing, and maintaining the infrastructure and operations of a fast-paced, highly-available software and data system. The ideal candidate will have a strong background in software development and system administration, focusing on automation and scalability.
This hybrid role is based out of San Francisco Bay Area and requires to be in office for at least 3 days a week. This role needs to collaborate with our Engineering team in China and the Analytics team in New York. So you’ll need to work across time zones. This role reports up to the Head of Product & Engineering and dotted line report to the Software Architect.
Major Responsibilities:
DevOps

• Take a leading role in building all DevOps areas, especially the cloud environment, tools, services, and up-time
  
• Architect, build, improve, maintain, and document internal release systems and pipelines
  
• Automate the deployment, scaling, and monitoring processes and tools
  
• Plan and push forward the growth and scale of data capacity for various products
  
• Monitor and troubleshoot production issues and implement solutions to prevent future occurrences
  
• Continuously improve automated build, test, and deployment workflows
  
• Drive the CI/CD strategy for our product pipelines with a focus on reliability and scale
  
• Work with the development team to ensure version control and resolve conflicts
  
  

Database Administration and Engineering

• Manage and maintain databases, including backups, replication, and performance tuning
  
• Create and maintain data pipelines and ETL jobs using Python and SQL
  
• Build data compliance processes, tooling, and guidelines
  
• Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure the successful delivery of data integration and BI projects
  
• Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues
  
  

What You Need to Succeed?

• 3+ years of experience as a DevOps engineer on a high-scale distributed system
  
• 3+ years of experience managing databases and building data pipelines for advanced analytics use cases
  
• Strong track record with AWS
  
• Strong experience with at least one major containerization platform (e.g. Docker, Kubernetes)
  
• Scripting/programming skills Python
  
• Build log centers such as es, Fluentd, Kibana
  
• Monitor the system by Prometheus, Grafana
  
• Strong experience with at least one major database (e.g. MySQL, PostgreSQL) administration
  
• Experience with data warehousing: Redshift or Snowflake
  
• Proven track record with designing, implementing and maintaining CI/CD pipelines, release systems, monitoring and logging tools (such as es,  fluentd, kibana, Promethous , grafana)
  
• Experiences of working in a fast-paced start-up environment. Working experiences with software architects and engineers, product managers, and data analysts
  
• A strong sense of ownership and accountability
  
• Good communication skills; Great English and Chinese speaking, reading, and writing.
  
  

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感谢！已投~

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