Senior Full Stack Engineer

1 week ago

Hanoi Capital Region, Vietnam IT Company Full time ₫120,000,000 - ₫240,000,000 per year

Job overview and responsibility

As a Senior Full Stack Engineer, your primary responsibilities will include:

  • Design, develop and maintain frontend and backend services for a multi-tenant SaaS platform.

  • Build intuitive job/pipeline submission UIs (including no-code/low-code pipeline builders) and programmatic APIs.

  • Integrate and operationalize AI/ML models and GPU-backed workloads (containerized model images, model versioning, result provenance).

  • Implement asynchronous job orchestration, batch processing, queueing, retries and autoscaling.

  • Ensure secure data handling, encryption, access control and tenant isolation.

  • Develop and document REST/GraphQL APIs consumed by internal and external clients.

  • Implement CI/CD, observability (logs/metrics/tracing), and automated testing for reliability.

  • Troubleshoot production issues and optimize performance and cost of cloud resources.

  • Collaborate with cross-functional teams to gather requirements, shape product features, and deliver customer-facing functionality.

Required skills and experiences

  • 7+ years professional full-stack experience building production web applications.

  • Experience with AI/ML projects.

  • Strong frontend skills with React and (TypeScript preferred).

  • Strong backend skills in Python (FastAPI) and/or ; comfortable designing REST/GraphQL APIs.

  • Practical experience integrating ML or compute-heavy services into applications (model serving, job orchestration, or similar).

  • Experience with containerization (Docker) and orchestration (Kubernetes / EKS / AWS Batch).

  • Cloud experience (AWS/GCP/Azure) — provisioning, IAM, S3, autoscaling.

  • Familiarity with databases (SQL and NoSQL), S3-style object storage, and designing data models for jobs/results.

  • Experience building or shipping no-code/low-code user interfaces, pipeline editors, or drag-and-drop workflows.

  • Knowledge of CI/CD pipelines, infrastructure-as-code (Terraform/Pulumi), and monitoring/alerting tools.

  • Strong engineering fundamentals: testing, observability, security best practices, and performance optimization.

  • Excellent communication skills in English and ability to collaborate with researchers and stakeholders.

Preferred skills and experiences

  • Hands-on experience with MLOps tooling (MLflow, Argo, Kubeflow, Step Functions).

  • Experience with GPU compute stacks, CUDA, Conda, or packaging complex scientific toolchains.

  • Background working with scientific users (bioinformatics, computational chemistry, or similar).

  • Prior experience in multi-tenant SaaS or enterprise security (SSO/SAML, data isolation).

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