Software Engineer (Backend, Cloud Architect)

OpenProtein.AI; United States; Remote; USD 140,000 - 210,000; Full time

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

Role overview

Design and operate backend and cloud systems for a SaaS platform used in computational biology and protein research. The work spans services, data storage, APIs, and orchestration for distributed workloads that can scale dynamically and run asynchronously. This is a full-time engineering role with remote locations listed in the United States or Singapore.

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.

Requirements

• A bachelor’s degree in computer science or a related technical field plus at least five years of experience, or a higher degree.
• Strong programming experience in Python, Go, or another modern backend language.
• Experience building microservice-based cloud systems on AWS, GCP, or Azure.
• Familiarity with PostgreSQL or Redis, Kubernetes, streaming systems such as Kafka, and workflow orchestration such as Airflow.
• Experience with infrastructure and deployment tools such as Terraform or ArgoCD.
• Understanding of B2B SaaS foundations, including user management, federated identity, and security, plus the ability to work independently and communicate clearly.

Nice to have

• Experience with enterprise single-tenant or on-premises deployments, biotech or bioinformatics software, or relevant scientific data formats.
• Familiarity with GPU or HPC infrastructure, job queues, and tuning autoscaling for cost and startup latency.
• Experience deploying ML models, LLMs, or RAG systems, or building vector search and collaboration features.

Benefits and work setup

• Remote work from the United States or Singapore.
• Competitive base salary and equity.
• Health and dental insurance.