Fullstack Developer

DBiz.ai; India; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

DBiz.ai is seeking a Senior Full Stack Engineer to design and build high-performance, scalable applications using Golang and SvelteKit. You will craft GraphQL APIs and implement a microservices-based architecture to ensure reliability and ease of maintenance.

The role involves mentoring engineers, collaborating with product and design teams, and tuning performance across the stack. Immediate notice period applies, with a 12-month project scope.

Qualifications

• 4+ years of professional experience as a full stack or backend engineer.
• Strong proficiency in Golang for backend development.
• Experience with SvelteKit or similar frontend frameworks.
• Experience building GraphQL APIs.
• Deep understanding of microservices architecture and distributed systems.
• Strong SQL skills with PostgreSQL and MS SQL.
• Familiarity with CI/CD pipelines and version control.

Responsibilities

• Design, develop, and maintain full-stack applications using Golang (backend) and SvelteKit (frontend).
• Build, optimize, and maintain GraphQL APIs for data-driven applications.
• Implement microservices for modular, scalable, and resilient systems.
• Familiar with PostgreSQL databases, including schema design and query tuning.
• Collaborate cross-functionally with product, design, and operations teams to deliver high-quality software.
• Ensure code quality through peer reviews, testing, and CI/CD practices.
• Contribute to system architecture discussions and drive engineering best practices.
• Support performance tuning of application systems.

Skills

Golang

SvelteKit

GraphQL

Microservices

PostgreSQL

CI/CD

Distributed systems

Communication

Education

Bachelor’s degree in Computer Science, Software Engineering, or a related field

Tools

AWS

Docker

Kubernetes

Temporal Workflow

Node.js

MS SQL

Job description

Seeking a Senior Full Stack Engineer who is passionate about building high-performance, scalable, and maintainable applications. The ideal candidate has strong hands-on experience with Golang, SvelteKit, and GraphQL, and is well-versed in designing and developing microservices-based systems. The engineer will play a key role in shaping our technical architecture, ensuring system reliability, and mentoring other engineers.

Experience - 4 to 8 Years

Notice Period - Immediate

Project Duration - 12 Months

Key Responsibilities

• Design, develop, and maintain full-stack applications using Golang (backend) and SvelteKit (frontend).
• Build, optimize, and maintain GraphQL APIs for data-driven applications.
• Implement microservices for modular, scalable, and resilient systems.
• Familiar with PostgreSQL databases, including schema design and query tuning.
• Collaborate cross-functionally with product, design, and operations teams to deliver high-quality software.
• Ensure code quality through peer reviews, testing, and CI/CD practices.
• Contribute to system architecture discussions and drive engineering best practices.
• Support performance tuning of application systems.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 4+ years of professional experience as a full stack or backend engineer.
• Strong proficiency in Golang for backend development.
• Proficient in SvelteKit or similar modern frontend frameworks (React, Vue, etc.).
• Experience building and maintaining GraphQL APIs.
• Deep understanding of microservices architecture and distributed systems.
• Strong SQL skills with experience in MS SQL and PostgreSQL.
• Familiarity with CI/CD pipelines, testing, and version control systems.
• Excellent problem-solving, debugging, and communication skills.

Good to Have

• AWS project experience (e.g., Lambda, ECS, RDS, S3, API Gateway).
• Familiarity with Temporal Workflow or similar orchestration frameworks.
• Experience with Node.js for backend or API development.
• Experience with containerization/orchestration (Docker, Kubernetes).
• Background in performance tuning, observability, and system optimization.
• Experience mentoring or leading small engineering teams.

Advantage:

• Demonstrate quality delivery and consistent incremental improvement during work performance
• Familiar with AI assisted development and usage of AI tools.