Senior/Lead Platform Engineer (Databricks, MLops, AWS)
Ho Chi Minh City, Ho Chi Minh City, Vietnam
USD 180K-247K (estimate) Senior-level Full Time
Tasks
- Architect and implement data and ML platforms
- Build and operate ML infrastructure
- Continuously evaluate and adopt new tools and technologies
- Diagnose and resolve production issues
- Establish data governance data lineage and quality standards
- Integrate AWS services with Databricks and Delta Lake
- Lead DevSecOps and DataOps practices
- Mentor engineering teams and define architectural best practices
- Optimize system performance, cost, and scalability
Perks/Benefits
- Birthday leave
- Career development opportunities
- Christmas leave
- Hackathons
- Health insurance
- Meal allowance
- Overseas travel opportunities
- Paid time off
- Parking allowance
- Sick leave
- Training & conferences
Skills/Tech-stack
AWS | Airflow | Apache Spark | CI/CD | CloudFormation | DBT | Data Governance | Data Lineage | Data Quality | DataOps | Databricks | Delta Lake | DevSecOps | ECS | EKS | Infrastructure as Code | Kinesis | Lambda | MLflow | Model Monitoring | Observability | Python | Redshift | S3 | SQL | Terraform | Unity Catalog | “as-code”
Education
N/A
Regions
Countries
States
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