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Jansoft Global

Senior Full Stack Software Engineer – AI-Native SaaS

Posted 4 days ago
5-10 years experience
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AI Summary

The engineer will own features end-to-end, from architecture and development to production deployment and troubleshooting. They are expected to integrate AI-assisted coding tools into their daily workflow to accelerate development within a multi-tenant SaaS environment.

This is a remote position.


Position: Senior Full Stack Software Engineer
Experience: 5+ Years
Location: Remote – India
Work Hours: Core hours aligned with EST
Employment: Full-Time

About the Role

We are hiring a Senior Full Stack Software Engineer for our client, a fast-moving, AI-native SaaS company building a multi-tenant platform for the data-center and enterprise technology domain.

This is a high-ownership engineering role within a small team. The ideal candidate should be comfortable owning features end-to-end — from architecture and development through deployment, monitoring, troubleshooting, and production support.

The company follows an AI-assisted development approach, using tools such as Claude Code and other modern AI coding assistants to accelerate development and expects engineers to incorporate these tools effectively into their daily workflow.

Key Responsibilities

  • Own features end-to-end from requirements and architecture through production deployment.

  • Build scalable and production-grade applications using React, Next.js, TypeScript, Node.js, NestJS and/or Express.js.

  • Design, develop, and integrate REST APIs and backend services.

  • Work with PostgreSQL/SQL, including database design, optimization, and complex queries.

  • Develop and maintain multi-tenant SaaS architectures.

  • Implement and work with row-level security and tenant-level data isolation.

  • Deploy, troubleshoot, and maintain applications in AWS environments.

  • Work with AWS services such as EC2, ECS/EKS, RDS, and related infrastructure.

  • Make architecture and technical decisions in a fast-moving product environment.

  • Troubleshoot production issues and improve application reliability and performance.

  • Work closely with North American engineering/product teams with significant overlap during EST hours.

  • Use Claude Code, ChatGPT, GitHub Copilot, Cursor, or similar AI-assisted development tools as part of the development workflow.

  • Contribute to CI/CD, observability, infrastructure, and production operations where required.

  • Work independently and take ownership in an environment without a dedicated DevOps engineer.

Required Skills

  • 5+ years of professional software development experience.

  • Strong hands-on experience with React and Node.js.

  • Strong JavaScript/TypeScript expertise.

  • Strong experience with Next.js.

  • Experience with NestJS and/or Express.js.

  • Strong understanding of REST APIs and backend architecture.

  • Strong experience with PostgreSQL and SQL.

  • Hands-on experience building and maintaining production-grade SaaS applications.

  • Experience with AWS, preferably EC2, ECS/EKS, RDS, and related services.

  • Understanding of multi-tenant architecture and data isolation.

  • Experience with row-level security or similar tenant-level access-control mechanisms.

  • Strong debugging, troubleshooting, and problem-solving skills.

  • Ability to make technical and architectural decisions independently.

  • Comfortable working in a small, fast-moving product/startup environment.

  • Strong written and verbal communication skills.

  • Ability to work with significant overlap with North American / EST working hours.

  • Practical experience using AI-assisted coding/development tools, particularly Claude Code or similar tools.

Nice to Have

  • Docker and containerized application development.

  • CI/CD pipelines.

  • Infrastructure-as-code experience such as Terraform or CloudFormation.

  • Kubernetes / EKS experience.

  • Observability tools such as Grafana, Splunk, Datadog, or similar.

  • Experience working on enterprise or data-center related products.

  • Experience with AI-native development workflows.

  • Experience optimizing application performance and AWS infrastructure costs.



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