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Công ty TNHH Nanyang Biologics Việt Nam - Senior Full stack engineer (Up to 4500$)

Recruitment SENIOR FULL STACK ENGINEER (UP TO 4500$) at Ha Noi

50,000,000 - 100,000,000 VND 0 VND

Recruitment SENIOR FULL STACK ENGINEER (UP TO 4500$) at Ha Noi

50,000,000 - 100,000,000 VND

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Job information
Company information

Recruitment Information

Level

Manager

Deadline

31/07/2026

Amount of Vacancies

1 people

Gender

No gender requirement

Experiences

From 7 to 15 year

Degree

bachelor degree

Workplace

Hybrid Jobs tại Ha Noi

Industry

IT - Software / IT - IT Software

Job Description

JOB SUMMARY:

As a Senior Full Stack Engineer, your primary responsibilities will include designing, developing, and maintaining frontend and backend services for a multi-tenant SaaS platform.

RESPONSIBILITIES:

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, queuing, 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.

REQUIREMENTS:

7+ years professional full-stack experience building production web applications.
Strong frontend skills with React and Next.js (TypeScript preferred).
Strong backend skills in Python (FastAPI) and/or Node.js/NestJS; 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), 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.
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).