Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Home based - Worldwide
R
USD 53K-119K (estimate) Mid-level Full Time
Tasks
- Build MLOps solutions
- Contribute to upstream communities
- Create data visualizations
- Debug upstream issues
- Deploy solutions on Kubernetes
- Deploy solutions on private clouds
- Deploy solutions on public clouds
- Design and maintain data warehouse solutions
- Develop end-to-end data analytics solutions
- Ensure data governance
- Implement data ETL processes
- Implement identity and tracing
- Maintain machine learning pipelines
- Monitor and improve system observability
- Orchestrate workflows
Perks/Benefits
- Annual compensation review
- Annual holiday leave
- Distributed work environment
- Employee assistance programme
- Maternity leave
- Opportunity to travel for company events
- Paternity leave
- Personal learning and development budget
- Priority Pass
- Recognition rewards
- Twice yearly team sprints in person
Skills/Tech-stack
Airflow | Apache Superset | Apache Trino | ClickHouse | DBT | DVC | Data Governance | Docker | ETL | Feast | Identity | Kubeflow | Kubernetes | Linux | MLOps | MLflow | Machine Learning | Observability | Python | Temporal | Tracing | Trino | Ubuntu | Workflow Orchestration
Education
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