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Xcelpros - Full Stack Developer - Python/React.js
Xcelpros - Full Stack Developer - Python/React.jsXcelpros Technologies Pvt Ltd • Delhi, IN
Xcelpros - Full Stack Developer - Python / React.js

Xcelpros - Full Stack Developer - Python / React.js

Xcelpros Technologies Pvt Ltd • Delhi, IN
30+ days ago
Job type
  • Remote
Job description

Job Title : Fullstack Developer

Immediate Requirement

Key Responsibilities :

  • Candidate will deliver technical elements (code, architecture and documentation) including but not limited to the following technologies - Reactjs, Nextjs, Python, FastAPI, Pandas, Numpy, PostgreSQL, Generative AI, Graph QL or similar, Apollo or similar, Minio or similar.
  • To setup code pipeline for B2B Application for compilation and auto deployment.
  • Candidate will be engaged in the design, development, testing and maintenance of web and mobile products.
  • Candidate will create business, technical requirements and design documents that meet business needs, adhering to XcelPross documentation standards.
  • Candidate will convert requirements into detailed technical designs and configure / develop within Product / ecosystem accordingly.
  • Candidate will develop components with developers both near and offshore, including code review, hands-on code updates, architecture review and updates.
  • Candidate will be involved in Active Directory (AD), security / authorization setup, data interface design, data migration and reconciliation.
  • Candidate will work closely with other IT teams (e Commerce / BI / ERP / Architecture) to ensure design is aligned with the overall solution strategy and leverage the core systems features in Product development.
  • Candidate will analyze to set up the standards and multi-tenant, Review the code as per the best practices and optimize of the code.
  • Perform technical / functional analysis as required.
  • Analyse issues as necessary to determine the root cause of the issue and determine the necessary course of action for resolution.
  • Provide post-implementation support for implemented solutions.
  • Serves as the point person for addressing issues and enhancements related to the specific product and functional area.
  • Design, develop, and maintain scalable backend services and APIs using Python and JavaScript.
  • Work with Supabase (PostgreSQL) for database design, triggers, and row-level security (RLS).
  • Build and manage backend components for automation workflows, user events, and notifications.
  • Develop secure integrations with external systems (e.g., Salesforce, Microsoft D365, cloud storage, messaging platforms).
  • Implement serverless functions and cron jobs for scheduled or event-based triggers.
  • Collaborate with frontend teams to ensure seamless data flow across the stack.
  • Write clean, maintainable code with thorough documentation and testing.
  • Monitor performance, logs, and errors; implement retries and error handling for resilience.
  • Contribute to DevOps pipeline, including deployments, environment management, and CI / CD.

Required Skills & Experience :

  • 2+ years of backend development experience using Python (with FastAPI or similar frameworks).
  • Strong experience with PostgreSQL and modern backend-as-a-service platforms like Supabase or Firebase.
  • Deep understanding of RESTful API design and asynchronous programming.
  • Hands-on experience with authentication, access control, and multi-tenant architecture.
  • Familiarity with cloud services (e.g., AWS Lambda, Vercel Functions, or GCP).
  • Experience with event-driven systems, webhooks, or message queues (Kafka, NATS, etc.).
  • Comfort working in a Git-based development process with code reviews and pull requests.
  • Ability to write unit / integration tests (Jest, Mocha, etc.) and ensure code reliability.
  • Bonus Skills (Nice to Have) :

  • Experience with Supabase-specific features like row-level security, triggers, and realtime updates.
  • Background in workflow engines, automation design, or low-code platforms.
  • Experience working with GraphQL and data transformation pipelines.
  • Knowledge of OAuth, token-based auth flows, and multi-system user identity management.
  • Familiarity with job schedulers like Apache Airflow, Temporal, or custom cron logic.
  • Exposure to AI / NLP-based applications or intelligent assistants.
  • (ref : hirist.tech)

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