Junior Full Stack Engineer
Full Stack Developer Python ReactJS
年収
Location
Benefits
13ヶ月目の給与
フル社会保険
その他の福利厚生
年間給与の見直し
旅行/会社の旅行
仕事用のノートパソコン/デスクトップ
業績ボーナス
追加の健康保険
Job Overview And Responsibility
As a 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 Experience
- 1+ years full-stack experience building production web applications. - Assist with AI/ML projects and integrate models into apps. - Develop user interfaces using React and Next.js (TypeScript preferred). - Support backend development with Python (FastAPI) or Node.js/NestJS. - Work with Docker and Kubernetes for application deployment. - Gain experience with cloud platforms (AWS/GCP/Azure). - Experience with databases (SQL and NoSQL) and data modeling. - Contribute to no-code/low-code interfaces and workflows. - Participate in CI/CD processes and infrastructure-as-code practices. - Basic English proficiency
Why Candidate should apply this position
- Competitive salary - Workplace: This role is based in our Hanoi office, located in the vibrant Old Quarter. - Build a professional network through collaborations with pharmaceutical companies, industry leaders, and academic experts. - Work on impactful projects that address critical challenges in drug discovery and healthcare.
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).
Report to
CTO in Vietnam
Interview process
Resume screening -> Technical interview
Apply for this job
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