Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Core
Building open source data analytics, MLOps, and workflow orchestration solutions for public cloud and private infrastructure.
Role type
Senior IC Python and Kubernetes Software Engineer (Data, Workflows, AI/ML)
Builds
End-to-end data pipelines, MLOps platforms, and workflow orchestration tools deployed on Kubernetes and cloud environments.
Domain
Open source software, Data Engineering, MLOps, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Kubernetes, Linux (Debian/Ubuntu), Distributed Systems, Cloud Computing (AWS/Azure/GCP), Data Pipeline Orchestration, Machine Learning Tooling
Preferred skills
Kubeflow, MLFlow, DVC, Feast, Apache SuperSet, dbt, Airflow, Temporal, Apache Trino, ClickHouse, Docker, LXD, Open Source Contribution
Technologies
Python, Kubernetes, Linux, Docker, LXD, Kubeflow, MLFlow, DVC, Feast, Apache SuperSet, dbt, Airflow, Temporal, Apache Trino, ClickHouse, AWS, Azure, Google Cloud
Responsibilities
Design and maintain solutions deployed on public/private clouds and local workstations; Master distributed systems concepts like observability and tracing; Debug issues and interact with upstream communities; Collaborate on finding solutions for data analytics and MLOps challenges.
Seniority
Senior, hands-on IC