Lead Engineer

About the Role:

Lead Software Engineer

Key Responsibilities:

Full-Stack Development (MERN & Beyond)

• Design, develop, and maintain

  scalable full-stack applications

  on web and mobile.
• Optimize front-end performance and ensure smooth UI/UX experiences.
• Build and integrate

  RESTful & GraphQL APIs

  .

Data & AI Development

• Work with

  data pipelines, ETL processes, and real-time data processing

  .
• Integrate

  AI/ML models (TensorFlow, PyTorch, OpenAI APIs, or similar)

  into applications.
• Develop AI-powered features such as

  recommendation engines, chatbots, and agentic solutions

  .

Cloud & DevOps

• Deploy, manage, and optimize applications on

  AWS, Azure, or GCP

  .
• Implement

  Infrastructure as Code (Terraform, Cloud Formation, Pulumi)

  for cloud automation.
• Design and maintain

  CI/CD pipelines

  using

  GitHub Actions, Jenkins, GitLab CI/CD, or similar

  .
• Manage

  containerized applications

  using

  Docker & Kubernetes

  .
• Ensure

  scalability, security, and performance

  of cloud-based applications.

Cross-Project Collaboration & Problem Solving

• Act as a

  critical resource across multiple projects

  , adapting quickly to different technical needs.
• Debug, troubleshoot, and optimize

  both front-end and back-end

  systems.
• Stay updated on emerging

  web, mobile, AI, and cloud technologies

  , bringing innovative ideas to the team.

Qualifications:

• 5+ years of experience

  as a

  full-stack software developer

  .
• Proficiency in

  JavaScript, TypeScript, Python, Java, .NET or other relevant languages

  .
• Hands-on experience with

  AI/ML frameworks

  (TensorFlow, PyTorch, OpenAI APIs, etc.).
• Experience with

  databases

  (MongoDB, PostgreSQL, MySQL, NoSQL, or distributed databases).
• Strong knowledge of

  cloud platforms

  (AWS, Azure, GCP) and

  cloud services

  (Lambda, S3, EC2, DynamoDB, Firebase, etc.).
• Experience with

  DevOps tools

  (Docker, Kubernetes, Terraform, Ansible, CI/CD pipelines).
• Strong understanding of

  microservices architecture

  and

  event-driven systems

  .
• Ability to adapt to

  multiple projects and technology stacks

  .

Nice to Have:

• Exposure to

  Generative AI, LLMs, or NLP-based applications

  .
• Experience with

  serverless architectures

  .
• Knowledge of

  vector databases

  (Pinecone, FAISS, Weaviate) for AI-powered search.
• Experience with

  MLOps

  and model deployment strategies.
• Background in

  data visualization

  (Tableau, Power BI, Jasper, D3.js).