Full Stack Developer

18 hours ago

Pune, Maharashtra, India HiringNinja Full time ₹ 18,50,000 - ₹ 3,25,00,000 per year

About the Role

We are looking for an experienced Full Stack Developer with strong expertise in React, , and hands-on experience in Azure DevOps. The ideal candidate should be capable of developing scalable applications, managing cloud-based deployments, and collaborating closely with cross-functional teams. Knowledge of PostgreSQL and exposure to MLOps or Azure ML Studio will be considered a strong advantage.

Key Responsibilities

  • Design, develop, and maintain full stack applications using React (frontend) and (backend).
  • Build scalable, high-performance features and ensure clean, maintainable code.
  • Work extensively with Azure DevOps for CI/CD pipelines, source control, and automated deployments.
  • Integrate and manage databases, preferably PostgreSQL.
  • Collaborate with the product, QA, DevOps, and data teams to deliver high-quality features.
  • Participate in code reviews, technical discussions, and architectural planning.
  • Optimize system performance and ensure application reliability and security.
  • Support and enhance cloud-based application workflows and deployment processes.
  • (Bonus) Contribute to MLOps tasks or work with Azure ML Studio for model integration and workflows.

Required Skills & Qualifications

  • Minimum 5 years of experience as a Full Stack Developer.
  • Strong proficiency in and development.
  • Azure DevOps hands-on experience (CI/CD pipelines, repositories, deployments) — critical.
  • Working knowledge of PostgreSQL, database design, and query optimization (preferred).
  • Familiarity with cloud environments, preferably Microsoft Azure.
  • Understanding of software development best practices, version control, and agile methodologies.
  • Good problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
  • Excellent communication and teamwork abilities.
  • (Bonus) Experience with MLOps, Azure ML Studio, or integrating ML workflows into applications.

Preferred Qualifications

  • Experience working with containerization tools (Docker/Kubernetes).
  • Familiarity with REST APIs, microservices architecture, and secure application development.
  • Exposure to monitoring tools, logging frameworks, and production support best practices.

Job Types: Full-time, Permanent

Pay: ₹1,500, ₹1,800,000.00 per year

Benefits:

  • Cell phone reimbursement
  • Commuter assistance
  • Flexible schedule
  • Food provided
  • Health insurance
  • Internet reimbursement
  • Leave encashment
  • Life insurance
  • Paid sick time
  • Paid time off
  • Provident Fund
  • Work from home

Work Location: In person

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