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GoodSpace AI

Back End Developer

GoodSpace AI · India

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  • Hybrid
  • Full-time
  • ₹900,000 / year
  • India

Job highlights

  • Develop and scale backend systems for an AI job platform.
  • Design APIs, manage data, and optimize database performance.
  • Collaborate with cross-functional teams on feature development.
  • Improve system reliability, observability, and performance.
  • Grow into senior engineering or tech leadership roles.

About the role

About GoodSpace

GoodSpace is an AI-powered job platform helping job seekers find opportunities faster and helping employers hire more efficiently. Our AI engine powers personalized job recommendations, automated screening, and seamless career journeys. We’re expanding our engineering team to build scalable systems that support millions of users.

Role Overview

We’re looking for a Backend Developer who can design and build robust, scalable, and high-performance backend systems. You’ll work closely with the product and AI teams to develop APIs, improve system architecture, and ensure high reliability across our platform.

Key Responsibilities

  • Develop, maintain, and scale backend services and APIs powering the GoodSpace platform.
  • Design efficient data models, handle large datasets, and optimize database performance.
  • Write clean, maintainable, and well-tested code.
  • Collaborate with frontend, AI/ML, and product teams to ship features rapidly.
  • Improve system reliability, observability, and performance.
  • Ensure security, data protection, and compliance across backend systems.
  • Participate in code reviews, architecture discussions, and technical decision-making.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 0–3 years of backend development experience.
  • Strong command of one or more backend languages/frameworks: Node.js, Python (FastAPI / Django), Go, or Java.
  • Solid understanding of REST APIs, microservices, and distributed systems.
  • Strong knowledge of databases (PostgreSQL/MySQL, MongoDB, Redis).
  • Experience with cloud platforms (AWS/GCP/Azure) and containerisation (Docker).
  • Familiarity with CI/CD pipelines and DevOps basics.
  • Strong debugging, problem-solving, and architectural skills.

Good to Have

  • Experience with message queues (Kafka, RabbitMQ, SQS).
  • Knowledge of serverless architectures.
  • Exposure to AI/ML API integration.
  • Experience working in a startup environment.

Why Join GoodSpace?

  • Build core systems used by millions of job seekers and employers.
  • Work in a fast-paced, high-ownership environment with direct impact.
  • Opportunity to collaborate with AI and product teams building category-defining features.
  • Growth pathways into senior engineering, architecture, or tech leadership roles.

Key skills/competency

  • Backend Development
  • API Design
  • Database Management
  • System Architecture
  • Node.js
  • Python
  • Go
  • Java
  • Cloud Platforms
  • DevOps

Skills & topics

  • Backend Developer
  • Node.js
  • Python
  • Go
  • Java
  • API
  • Microservices
  • Databases
  • Cloud
  • DevOps
  • GoodSpace AI
  • Remote
  • Engineering

How to get hired

  • Tailor your resume: Highlight backend experience, languages (Node.js, Python, Go, Java), and databases (PostgreSQL, MongoDB, Redis).
  • Showcase projects: Include personal or professional projects demonstrating API design, microservices, and cloud deployment (AWS/GCP/Azure).
  • Prepare for technical interviews: Practice coding challenges, data structure problems, and system design questions relevant to backend development.
  • Demonstrate problem-solving: Be ready to discuss your approach to debugging, performance optimization, and architectural decisions.
  • Understand GoodSpace's mission: Align your application with their AI-powered job platform goals and user impact.

Technical preparation

Master Node.js, Python, Go, or Java.,Practice SQL/NoSQL database querying.,Build and deploy a simple microservice.,Understand Docker and cloud deployment basics.

Behavioral questions

Describe a challenging backend problem you solved.,How do you ensure code quality and maintainability?,How do you collaborate with product and frontend teams?,How do you handle working in a fast-paced startup?

Frequently asked questions

What is the typical career path for a Backend Developer at GoodSpace AI?
At GoodSpace AI, Backend Developers have clear growth pathways. You can progress into senior engineering roles, specialize in system architecture, or move into tech leadership positions, contributing to the development of our AI-powered job platform.
What technologies are most important for a Backend Developer at GoodSpace AI?
The most important technologies include strong command of backend languages like Node.js, Python (FastAPI/Django), Go, or Java. Solid understanding of REST APIs, microservices, databases (PostgreSQL, MongoDB, Redis), and cloud platforms (AWS/GCP/Azure) is crucial for this role.
How does GoodSpace AI use AI in its job platform, and how does this role contribute?
GoodSpace AI uses AI for personalized job recommendations, automated screening, and efficient hiring. As a Backend Developer, you'll build and scale the robust systems that power these AI features, ensuring a seamless experience for millions of users.
What is the expected experience level for this Backend Developer position?
This Backend Developer role is designed for individuals with 0-3 years of experience. We are looking for candidates with a strong foundation in backend development principles and a desire to learn and grow within a dynamic startup environment.
Is this a remote position, and what are the location preferences for GoodSpace AI?
Yes, this is a remote position. While remote, a preference is given to candidates located in or willing to relocate to the Noida area, facilitating potential collaboration and team integration.
What kind of problems will a Backend Developer solve at GoodSpace AI?
A Backend Developer at GoodSpace AI will solve challenges related to designing scalable backend services, optimizing database performance for large datasets, enhancing system reliability and observability, and ensuring data security and compliance for our AI-driven job platform.