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Full-Stack TypeScript Developer (Mid-Level)

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Onsite

Full-Stack TypeScript Developer (Mid-Level)

Ocean Transworld Logistics

Full-Stack TypeScript Developer (Mid-Level)

Skills

MongoDBNextNestReactNodeTypescriptPythonJavaMicroservicesExpressPostgreSQLKafkaRabbitMQGitAIFastAPISupply Chain ManagementSupply ChainJavascript

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹300,000 – ₹600,000 / year

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

26 August 2026

What they need


JOB SPECIFICATION
Position Title: Full-Stack TypeScript Developer (Mid-Level)
Experience Level: 2 to 4 Years of Professional Experience
Domain Focus: Logistics & Supply Chain Management Applications
Core Architecture: Frontend Ecosystem (.tsx) & Backend Infrastructure (.ts)

Required Core Technical Skills

  • Language Proficiency: Advanced knowledge of TypeScript and modern JavaScript (ES6+).
  • Frontend Frameworks: Hands-on experience building component-driven user interfaces with React or Next.js utilizing .tsx files for compile-time type validation.
  • Backend Ecosystems: Proficiency in building server-side architectures, RESTful services, and microservices using pure TypeScript (.ts) environments like Node.js, Express, or NestJS.
  • Database Systems: Experience interfacing with relational databases (e.g., PostgreSQL) or NoSQL solutions (e.g., MongoDB), including handling complex spatial queries, geospatial coordinates, or indexing strategies.
  • Asynchronous Architectures: Knowledge of dealing with continuous data streams, WebSockets for real-time tracking, or message brokers (e.g., RabbitMQ, Kafka).
  • DevOps & Engineering Practices: Proficiency with Git version control, continuous integration pipelines (CI/CD), writing robust unit and integration tests, and managing application state.

Preferred Qualifications & Bonus Skills

  • Secondary Backend Languages: Demonstrated experience developing backend services using Python or Java, showing ability to adapt architectures or scale multi-language codebases.
  • AI & Extensibility Integration: Familiarity with foundational AI orchestration tools, LLM SDKs (OpenAI, Anthropic), or microservices architectures (such as Python FastAPI frameworks) designed for future internal capabilities like conversational chatbots.
  • Logistics Domain Knowledge: Prior conceptual or professional exposure to routing systems, live fleet tracking, dispatch infrastructure, optimization algorithms, or supply-chain logistics mechanics.

Professional Competencies

  • System Typings & End-to-End Safety: Deep understanding of sharing type declarations, interface definitions, and data contracts between client and server architectures to mitigate deployment discrepancies.
  • Analytical Capabilities: Strong systemic problem-solving aptitude, capacity to debug architectural bottlenecks, and optimization capabilities for memory performance.
  • Agile Collaboration: Ability to effectively collaborate with distributed multi-disciplinary teams in iterative execution prints.

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