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Lead Full Stack Engineer

Posted 18 days agoViewed

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💎 Seniority level: Lead, 6 years

📍 Location: India

💸 Salary: 3500000.0 - 5000000.0 INR per year

🏢 Company: Weekday AI👥 1-10💰 almost 4 years agoE-CommerceFashion

⏳ Experience: 6 years

🪄 Skills: Backend DevelopmentDockerNode.jsPHPPythonSQLArtificial IntelligenceFrontend DevelopmentFull Stack DevelopmentJavaJavascriptKubernetesMachine LearningReact.jsSoftware ArchitectureTypeScriptAngularREST APINosqlCI/CDDevOpsMicroservicesSoftware Engineering

Requirements:
  • 6–10 years of experience in full-stack development roles with a product-focused mindset.
  • Strong proficiency in two or more backend languages: PHP, Node.js, Golang, Python, Java.
  • Expert in JavaScript/TypeScript with deep knowledge of modern frameworks—React or Angular preferred.
  • Demonstrated experience integrating GenAI APIs (OpenAI, Langflow, custom GPT agents) in real-world applications.
  • Strong understanding of software architecture, system design, and microservices.
  • Solid DevOps exposure: Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins).
  • Proficient in SQL and NoSQL databases.
  • In-depth knowledge of browser internals, rendering optimization, and frontend performance strategies.
  • Experience with TDD, code quality enforcement, and unit test coverage.
Responsibilities:
  • Architect, design, and deliver scalable full-stack features and systems end-to-end—across backend services, APIs, and frontend interfaces.
  • Build AI-integrated systems (e.g., NLP automation, GenAI assistants, recommendation engines) using LLMs and GenAI APIs in production environments.
  • Mentor and lead a high-performance team of engineers, establishing best practices in architecture, testing, and DevOps.
  • Own performance, maintainability, and scalability across your projects and ensure long-term code health.
  • Collaborate cross-functionally with Product, Design, and Data teams to align on product direction and technical strategy.
  • Stay hands-on with code, lead architectural decisions, and contribute to critical reviews and deployments.
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