As a Software Engineer, you will own the delivery and deployment of modular, componentized data engineering tools which comprise our AI Data Workspace platform

Responsibilities:

●       Participate in the development, integration and iterative improvement of components of Company’s platform, with a focus on designing and implementing repeatable and robust deployment and operations patterns that can be emulated by our partner organizations.

●       Communicate clearly with multiple constituencies, soliciting and digesting feedback from users both technical and non-technical, and both internal and external.

●       Ensure that deployed code meets high standards of security and quality.

●       Support establishment of Company’s technical standards and processes, including developing style guides, code quality patterns, and test writing guidelines for our product suite.

Required Skills and Experience:

●       Three or more years of experience as a software engineer

●       Experience with AWS CDK, Docker, Kubernetes, Pulumi and related tools

●       Experience with shell scripting

●       Experience with two or more CI/CD tools or platforms

●       Experience with managing cloud deployments (particularly on AWS)

●       SQL, ideally PostgreSQL

●       Python, Flask

●       OpenAPI/swagger

●       Git/GitHub

●       Ability to manage two or more concurrent projects

Desired Skills and Experience:

●       Experience working as a member of a remote engineering team

●       Working with data subject to data security and privacy regulations

●       Experience with Javascript and front-end development frameworks

●       Automated test design and test writing

●       Demonstrated interest in open source software projects (please include GitHub links if applicable)

●       AWS and/or GCP certification

●       Experience developing and deploying software for governments.