Lead Software Engineer

Must have hands on experience in using AWS services and deployed complex application with scaling options.

Setup complex containerized application deployments and monitor using the AWS services and Opensource systems
Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent) using AWS cloud infra.

Experience developing with docker containers and Kubernetes in cloud computing environments.
Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
Strong software engineering skills in complex, multi-language systems.
Fluency in Python. Must have experience in scaling and troublshooting production systems.
Comfort with Linux administration.
Experience building custom integrations between cloud-based systems using APIs.
Experience developing and maintaining ML systems built with open-source tools.
Strong understanding of software testing, benchmarking, and continuous integration.
Exposure to machine learning methodology and deployment best practices
Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)