About the Role
We are looking for a Databricks Senior DevOps Engineer to design, build, and operate enterprise-grade data and ML platforms on AWS and Databricks for our Financial Crime platform.
This role focuses on platform infrastructure, governance, security, and operations, not pure data engineering or Spark coding. You will have full administrative ownership of the Databricks environment to ensure it is scalable, secure, compliant, and production-ready.
Key Responsibilities
- Architect, build, and operate end-to-end data and ML platforms on AWS and Databricks.
- Own and administer Databricks workspaces for the Financial Crime platform.
- Lead DevSecOps and DataOps practices, including infrastructure-as-code (IaC) and CI/CD pipelines for data and ML workflows.
- Configure and optimize Databricks compute clusters (job clusters and all-purpose clusters) for performance, scalability, and cost efficiency.
- Manage and enforce governance through Unity Catalog, including access control, security policies, data lineage, and isolation.
- Build and operate ML infrastructure, including model deployment and serving endpoints.
- Integrate AWS services (e.g., S3, Redshift, Kinesis, Lambda, EKS/ECS) with Databricks runtime and Delta Lake.
- Implement platform security best practices, including secrets management, audit logging, and compliance controls.
- Optimize system performance and diagnose large-scale production issues.
- Mentor engineering teams and define architectural best practices for high-scale data and ML systems.
Requirements
- 7+ years of experience in data platform architecture, cloud infrastructure, or ML platform engineering.
- Strong enterprise-level experience with Databricks and AWS.
- Deep expertise in Unity Catalog governance and security models.
- Hands-on experience designing, deploying, and operating Databricks clusters in production.
- Experience managing Model Serving / ML deployment infrastructure.
- Strong implementation mindset — able to design, build, deploy, and operate platforms end-to-end.
- Experience operating in regulated environments (banking/fintech preferred).
Nice to Have
- Infrastructure-as-Code (e.g., Terraform).
- Multi-account / multi-region cloud architecture experience.
- Experience in financial crime, risk, AML, or fraud analytics platforms.
Benefits
- Meal and parking allowance are covered by the company.
- Full benefits and salary rank during probation.
- Insurances as Vietnamese labor law and premium health care for you and your family without seniority compulsory
- Performance bonus up to 2 months
- 13th month salary pro-rata
- 15-day annual leave+ 3-day sick leave + 1 birthday leave + 1 Christmas leave
- SMART goals and clear career opportunities (technical seminar, conference, and career talk) - we focus on your development.
- Values-driven, international working environment, and agile culture.
- Overseas travel opportunities for training and working related.
- Internal Hackathons and company's events (team building, coffee run, blue card...)
- Work-life balance 40-hr per week from Mon to Fri.
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