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Technical Lead – Full Stack (SaaS Development)

5 years

0 Lacs

indore madhya pradesh india

Posted:6 hours ago| Platform: Linkedin logo

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Skills Required

stack saas development design ai ml architecture technology integration rest graphql react aws azure code security node.js next.js scaling postgresql mysql devops docker kubernetes terraform microservices openai tensorflow leadership communication mentoring agile model deployment collaborative engineering

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

We are looking for a hands-on Full Stack Technical Lead to architect, build, and scale our SaaS platform. You will lead the development team, design scalable systems, integrate AI/ML capabilities, and ensure high-quality delivery across the stack.


Key Responsibilities

  • Lead and mentor a team of full-stack developers.
  • Own architecture, design patterns, and technology decisions.
  • Design architecture for integration with AI/ML and LLM models.
  • Build and maintain scalable SaaS web applications and backend services.
  • Develop robust REST/GraphQL APIs and microservices.
  • Build responsive front-end interfaces (React/Next.js).
  • Manage cloud infrastructure (AWS/Azure) and CI/CD pipelines.
  • Ensure code quality, security, performance, and reliability.



Requirements

Technical Skills


  • Backend: 5+ years with Node.js or Python.
  • Frontend: Strong in React / Next.js / TypeScript.
  • SaaS Development: Experience building or scaling SaaS products.
  • Cloud: AWS or Azure (EC2, S3, RDS, Lambda, etc.).
  • Databases: PostgreSQL/MySQL + MongoDB.
  • Containers / DevOps: Docker, Kubernetes, CI/CD, Terraform/CloudFormation.
  • APIs & Architecture: REST, microservices, version control (Git).
  • AI/ML Integration: Experience integrating AI/ML models or APIs (OpenAI, Hugging Face, TensorFlow, etc.).
  • Leadership: 7+ years total experience, with 2+ years in a lead role.
  • Strong communication, decision-making, and mentoring skills.
  • Experience working in Agile teams.

    • Nice to Have

    • Deeper understanding of AI/ML and LLM models.
    • Real-time systems (Socket.io / WebSockets).
    • Event-driven or serverless architecture.
    • Basic MLOps or model deployment experience.



    Benefits
    • Build and scale a modern SaaS platform.
    • Lead a talented and collaborative engineering team.
    • Flexible work environment with a strong focus on innovation and growth.

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