Backend Developer – Web Applications

Position Title: Backend Developer – Web Applications

Company: Loch Corporate Services Private Limited

Location: Gurugram, Haryana, India

Work Mode: Work from Office

Job Type: Full‑time (Employment or Contract – to be finalized at offer stage)

Reporting To: Director

Compensation: Commensurate with experience

About the Company

Loch Corporate Services Private Limited is a professional services firm delivering a broad range of solutions across management, cybersecurity, and other specialised areas. Built on a foundation of quality and compliance, Loch supports organisations seeking integrated support functions under a single, trusted provider. The firm maintains strict confidentiality standards, consistent quality controls, and seamless collaboration with client teams across multiple sectors.

Loch’s technology arm is actively building a growing portfolio of proprietary products and client-facing platforms across multiple industries — including AI-powered document processing systems, augmented reality applications, CRM platforms, client onboarding portals, e-commerce platforms, and internal operational tools. The Backend Developer will play a central role in designing and delivering the server-side systems that power these products.

Purpose of the Role

Design, build, and maintain the backend services and APIs that underpin Loch’s growing product portfolio. This is a hands-on engineering role requiring the ability to work independently across multiple concurrent projects — from intelligent document processing systems and AR-powered e-commerce platforms to CRMs and internal operations tools.

The Backend

Developer will own server-side architecture decisions, ensure systems are secure, scalable, and maintainable, and work closely with frontend developers, cloud engineers, and stakeholders to deliver production-grade solutions.

Responsibilities and Duties

API Design & Backend Development

• Design, develop, and maintain scalable RESTful and GraphQL APIs for web applications, client portals, and internal tools
• Build backend services for diverse product types including AI-powered document processing systems, AR platform backends, CRM engines, e-commerce platforms, and operational dashboards
• Implement business logic, workflow automation, and data processing pipelines based on documented requirements
• Integrate third-party APIs, SaaS platforms, payment gateways (Razorpay, Stripe), e-signature services (PandaDoc), and external data sources as required
• Build and maintain webhook handlers and asynchronous processing pipelines for event-driven workflows

Authentication, Security & Access Control

• Implement and manage secure authentication and authorisation mechanisms including JWT, OAuth 2.0, and role-based access control
• Design multi-tenant data architectures ensuring strict data isolation between client organisations
• Apply secure coding practices and actively mitigate common web security risks (OWASP Top 10)
• Support on-premise and private cloud deployment requirements for data-sensitive systems where no external data transmission is permitted

Database Design & Optimisation

• Design, normalise, and optimise relational database schemas in PostgreSQL or MySQL for performance at scale
• Write efficient queries, implement appropriate indexing strategies, and resolve N+1 and slow-query issues
• Design and manage database migrations safely in production environments
• Work with MongoDB or other document databases where project requirements demand a non-relational approach

AI & Intelligent Systems Integration

• Integrate local LLM runtimes (e.g. Ollama) and AI processing pipelines into backend services for intelligent document extraction and automation workflows
• Build and maintain backend services that interface with OCR engines (Tesseract), NLP libraries (spaCy), and vector databases for AI-powered applications
• Design API layers that expose AI capabilities to frontend applications in a secure, performant, and maintainable way

Performance, Scalability & Reliability

• Monitor and improve API performance, response times, and system reliability under production load
• Implement caching strategies (Redis, in-memory) to reduce database load and improve response times
• Design backend services to handle concurrent users and high-volume data workflows
• Troubleshoot, debug, and resolve backend issues in production and non-production environments with structured root cause analysis

DevOps Collaboration & Deployment

• Support CI/CD pipeline configuration and deployment workflows in collaboration with the