Read everything carefully. The requirements and screening questions are critical and if not answered correctly will result in rejection.

Work from Home.
This is a full-time role. If you plan to do 2 or more jobs at the same time or want to do this part-time, that won't work for us. In that case please do not apply as it will get auto-rejected
Note - this job requires working late night India time until 4AM to overlap with USA working times. Do not apply if this timing doesn't work
Salary depends on experience and current verifiable (paychecks) compensation.
Candidates with 2-3 years experience are suitable

Company Description

Headquartered in McLean, Virginia, USA, Qubrid is a global provider of Artificial Intelligence (AI), Data Center and IoT products, solutions, and services. As pioneers in the realm of advanced computing technologies, we pride ourselves on being at the forefront of innovation, empowering businesses with the transformative capabilities of GPUs, Artificial Intelligence, Quantum Computing, IoT and more. We specialize in offering a wide array of hardware and software solutions for industries such as healthcare, manufacturing, finance, government, education and more.

Here's a stronger, product-focused version aimed at attracting engineers who have actually deployed and optimized real-world AI systems—not just experimented with models.

Senior Full Stack SaaS Engineer

About the Role

We are looking for a highly experienced Senior Full Stack SaaS Engineer to architect, build, and scale modern SaaS platforms from the ground up.

This role is for someone who has real-world experience building complete SaaS products—not just isolated frontend or backend features. The ideal candidate understands how to design and ship scalable, production-grade applications across the full stack, including:

frontend systems,
backend APIs,
databases,
authentication,
billing,
infrastructure,
deployment pipelines,
and multi-tenant SaaS architecture.

You will work closely with product, design, AI, and infrastructure teams to build reliable and scalable software products used in production environments.

ResponsibilitiesFull Stack Product Development

Design and develop end-to-end SaaS applications from scratch
Build responsive and scalable frontend applications
Develop secure backend APIs and microservices
Implement authentication, authorization, RBAC, and user management systems
Build billing, subscription, and usage-based systems
Develop dashboards, admin panels, and workflow management systems

Backend & API Engineering

Design scalable backend architecture and APIs
Build high-performance REST and/or GraphQL services
Must be a Python expert
Implement asynchronous systems, queues, caching, and background jobs
Optimize application performance, reliability, and scalability
Integrate third-party APIs and services

Database Engineering

Design and manage scalable database systems
Work extensively with:
PostgreSQL
MongoDB
MySQL
SQL-based systems
Design schemas, indexing strategies, query optimization, and data models
Build systems for high availability, backups, migrations, and scaling

Infrastructure & Deployment

Deploy and manage applications across cloud environments
Work with:
Docker
CI/CD pipelines
cloud infrastructure
containerized deployments
Build scalable production environments with monitoring and observability
Collaborate with DevOps and infrastructure teams on deployment strategies

Engineering & Product Ownership

Write clean, maintainable, and production-grade code
Participate in architecture and technical design discussions
Write technical documentation and implementation plans
Review code and maintain engineering best practices
Collaborate cross-functionally to ship features quickly and reliably

Requirements Must-Have

Strong experience building complete SaaS platforms from scratch
Must have Python and Node.js expertise
Experience with open source AI models
Deep full stack engineering experience across frontend and backend systems
Strong experience with databases including PostgreSQL, MongoDB, MySQL, and SQL systems
Experience designing scalable multi-tenant SaaS architectures
Strong understanding of APIs, authentication systems, and application security
Experience deploying and maintaining production systems in cloud environments
Strong JavaScript/TypeScript and backend engineering skills

Preferred

Experience with modern frontend frameworks such as React or Next.js
Familiarity with AI integrations and API-based AI products
Experience with Redis, queues, caching systems, and event-driven architectures
Familiarity with Kubernetes and distributed systems
Startup or high-growth product experience

What We're Looking For

Someone who has built real SaaS products used by customers
Strong product and systems-thinking mindset
Ability to move quickly while maintaining engineering quality
Ownership mentality with strong execution skills
Someone comfortable working across the full stack without heavy supervision

Full Stack Engineer AI Platform WFH