Senior Cloud Engineer (Data)

League Inc.
3h$136,000 - $145,000

About The Position

As a Senior Cloud Engineer (Data) , you will focus on the cloud infrastructure element of building personalized & data driven healthcare data products and pipelines that power our League platform. You will help architect, improve on and support a highly available, secure and governed data platform. In this role, you will work as part of a multi-disciplinary team to establish and evangelize a data driven culture. This team will not only work with the product team closely but will also support non-engineering functions like Marketing and Business Strategy. To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating. Furthermore, you understand the business impact of your work and enjoy measuring and presenting it. You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, iterate over it and can balance technical complexity with delivering customer value. Our platform and applications run on Google Cloud. You will be working on building infrastructure for real-time and batch pipelines, machine learning pipelines, and mission critical data services. You will have an opportunity to experiment with new frameworks and paradigms, and freedom to put cutting-edge tech in production to shape the future of digital health!

Requirements

  • Minimum 5 years experience in cloud platform or data engineering
  • Expertise in Terraform (or other IaC) a must
  • Experience in developing & managing CICD
  • Experience in a cloud Data Stack - preferably GCP.
  • Experience in python and/or GoLang
  • Experience in implementing deployments, error handling and monitoring for scalable pipelines.
  • Experience in performing root cause analysis of production issues, performance tuning and optimization.
  • Ability to articulate tradeoffs of technical decisions and influence stakeholders.
  • Ability to weigh in on roadmap and articulate opinion on areas of investment for the team

Nice To Haves

  • Experience in software development, for serverless infrastructure
  • Experience in orchestration tools like Airflow.
  • Experience in developing real time and batch pipelines.
  • Experience in data modeling, data governance and data discovery tools.
  • Experience in healthcare datasets like EMR and Claims and interoperability standards like FHIR

Responsibilities

  • Be a subject matter expert in Data Platform’s cloud infrastructure in Terraform
  • Utilize a variety of distributed computing platforms and tools to build scalable & data pipelines.
  • Drive architectural choices and data platform tools.
  • Translate business needs into data and analytics requirements, with attention to detail.
  • Be part of an on-call rotation to analyze, tune, troubleshoot and support League’s data infrastructure ensuring the performance, integrity, and security of data.
  • Use sound agile development practices (testing and code reviewing, etc.) to develop and deliver data products.
  • Guide and mentor data engineers.
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