Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Home based - Worldwide
R
USD 53K-119K (estimate) Entry-level Full Time
Tasks
- Build MLOps solutions
- Build data & analytics solutions
- Build workflow orchestration systems
- Collaborate with open source communities
- Create data visualization tools
- Debug upstream issues
- Deploy solutions on Kubernetes
- Deploy solutions on private cloud
- Deploy solutions on public cloud
- Design and maintain cloud-native services
- Develop ETL pipelines
- Develop distributed systems observability
- Implement data governance
- Implement identity and tracing
- Maintain machine learning tooling
Perks/Benefits
- Annual holiday leave
- Distributed work environment
- Employee assistance programme
- Learning and development budget
- Maternity leave
- Opportunity to travel
- Paternity leave
- Priority Pass
- Travel upgrades
Skills/Tech-stack
Airflow | Apache Superset | Apache Trino | ClickHouse | DBT | DVC | Data Governance | Data Pipelines | Data Visualization | Debian | Distributed Systems | Docker | ETL | Feast | Identity | Kubeflow | Kubernetes | LXD | Linux | MLOps | MLflow | Machine Learning | Observability | Python | Temporal | Testing | Tracing | Ubuntu | Workflow Orchestration
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Engineer | Python | Python Software Engineer | Software Engineer
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