Remote Backend Cloud Architect for Scalable SaaS

OpenProtein.AI

United States

Remote

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Health and dental insurance
Remote work from US or Singapore
Competitive base salary and equity

Job summary

OpenProtein.AI seeks a senior backend engineer to design and operate backend and cloud systems for a SaaS platform in computational biology. You will build microservices, manage data stores, and develop public and internal APIs to enable scalable, asynchronous workloads.

The role is full-time and remote, spanning US and Singapore locations. You should have 5+ years in backend development with Python/Go, hands-on experience with cloud platforms and Kubernetes, and a solid understanding of

Qualifications

  • A bachelor’s degree in computer science or a related technical field plus at least five years of experience, or a higher degree.

Responsibilities

  • Build backend services and microservices, including the communication paths between them.
  • Design and manage databases, storage schemas, and data transfer systems.
  • Create internal and external APIs with a focus on usability and performance.
  • Operate cloud compute and orchestration systems for highly available, scalable workloads.
  • Develop reliable communication and workflow systems for distributed processing.
  • Maintain clear, documented code and contribute to code review and existing codebase improvements.

Education

Bachelor's degree in Computer Science or related field

Tools

PostgreSQL
Redis
Kubernetes
Kafka
Airflow
Terraform
ArgoCD
AWS
GCP
Azure

Job description

OpenProtein.AI seeks a senior backend engineer to design and operate backend and cloud systems for a SaaS platform in computational biology. You will build microservices, manage data stores, and develop public and internal APIs to enable scalable, asynchronous workloads.

The role is full-time and remote, spanning US and Singapore locations. You should have 5+ years in backend development with Python/Go, hands-on experience with cloud platforms and Kubernetes, and a solid understanding of

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