• Develop and maintain the Data & AI platform and infrastructure
• Create SDKs that accelerate the organization's ability to deliver faster with the newest technology
• Making the creation and access to data products swift, secure, and automated
• Craft an easy and seamless integration between traditional data products and products levering advanced analytics, Machine Learning, and AI
• Enable teams to deploy and test their development in automated CI/CD flows across platforms
• Integrate and set up Dev Ops tools and platforms that enable both our platform teams and products teams to deliver better and faster
• Interact with stakeholders to scope tasks and evaluate requirements for incoming requests.
  
  

• Experience building end-to-end systems as a Senior Data Engineer, Platform Engineer, or Dev Ops Engineer
• Strong software engineering skills in complex, multi-language systems
• Fluency in Python
• Experience working with Infrastructure as Code, e.g. Terraform
• Experience working with cloud computing and database systems (SQL, no-SQL, distributed systems, data lakes, etc) such as Databricks
• Experience building custom integrations between cloud-based systems using APIs
• Familiarity with one or more data-oriented workflow orchestration frameworks
• Ability to translate business needs to technical requirements
• Strong understanding of software testing, benchmarking, and continuous integration
• Experience in infrastructure, data and model monitoring & alerting (e.g. tools like New Relic, Prometheus, Grafana, ELK Stack)
• Exposure and understanding of Fin Ops best practices for the public cloud
  
  

• 4–8 years experience building production-quality software & data products.
• Bachelors or Masters degree and/or equivalent professional experience