Job Summary:
We are looking for a highly skilled Senior Full Stack Developer with strong expertise in modern web application development and a passion for AI-enabled software engineering practices. This role focuses on leveraging AI tools, AI assistants, automation frameworks, and modern DevOps practices to improve software development, testing, deployment, and overall engineering productivity.
You will work closely with engineering and product teams to build scalable applications while driving the adoption of AI-assisted development, testing, deployment automation, and engineering best practices across the software delivery lifecycle.
The ideal candidate should have strong full stack engineering fundamentals, hands-on experience with modern development frameworks, and practical knowledge of AI-powered development tools, CI/CD automation, and cloud-based deployment workflows.
Key Responsibilities:
1. Design, develop, and deploy scalable full-stack applications using modern frontend and backend technologies.
2. Utilize AI-powered coding assistants and developer tools to improve development speed, code quality, debugging, documentation, and delivery efficiency.
3. Drive adoption of AI-assisted engineering practices across development, testing, deployment, and operational workflows.
4. Build and maintain CI/CD pipelines and deployment automation workflows.
5. Support DevOps initiatives including automated builds, release automation, infrastructure automation, and deployment optimization.
6. Contribute to AI-assisted deployment workflows and engineering automation strategies.
7. Work with containerization and cloud deployment environments.
8. Architect scalable backend services and APIs using modern engineering practices.
9. Develop and maintain unit tests, integration tests, and automated quality assurance processes.
10. Collaborate with Product Managers, Designers, QA Engineers, DevOps Engineers, and other stakeholders to deliver high-quality solutions.
11. Conduct code reviews and promote clean coding, maintainability, security, and performance best practices.
12. Troubleshoot and resolve issues across application, infrastructure, and deployment environments.
13. Ensure applications meet performance, scalability, reliability, accessibility, and security standards.
14. Contribute to continuous improvement initiatives focused on engineering automation, AI adoption, and developer productivity.
Required Skills:
1. 3–6 years of hands-on experience in full-stack application development.
2. Strong experience in at least one modern frontend framework such as React.js, Angular.
3. Backend development experience in Node.js and Python, with the ability to design and develop scalable APIs, services, and backend systems.
4. Strong understanding of software architecture, API design, and scalable application development.
5. Hands-on experience with AI coding assistants and AI-powered development tools.
6. Strong awareness of emerging AI technologies, AI agents, and AI-assisted engineering workflows.
7. Demonstrated experience using AI tools to improve coding efficiency, testing, debugging, documentation, and deployment activities.
8. Experience with unit testing frameworks, automated testing, and quality engineering practices.
9. Strong understanding of Git, branching strategies, and collaborative development workflows.
10. Proven experience building and maintaining CI/CD pipelines and deployment automation processes.
11. Good understanding of DevOps concepts, cloud deployment models, release management, and infrastructure automation.
12. Experience working with relational databases such as MySQL or PostgreSQL and familiarity with NoSQL databases.
13. Understanding of authentication and authorization mechanisms such as JWT and OAuth.
14. Ability to quickly learn and adapt to new technologies, frameworks, AI tools, and engineering practices.
15. Strong communication, collaboration, analytical, and problem-solving skills.
Preferred Skills:
1. Experience with TypeScript in frontend and backend environments.
2. Exposure to Docker, Kubernetes, and container orchestration technologies.
3. Experience deploying applications to AWS, Azure, GCP, or similar cloud platforms.
4. Familiarity with microservices, serverless architectures, GraphQL, WebSockets, or event-driven systems.
5. Hands-on experience with AI-powered development tools such as Cursor, GitHub Copilot, Claude Code, or similar platforms.
6. Exposure to AI-assisted DevOps workflows and intelligent deployment automation practices.
7. Familiarity with monitoring, observability, and logging tools such as Sentry, Prometheus, Grafana, or similar platforms.
8. Experience mentoring developers and contributing to engineering best practices in Agile environments.
Educational Qualification:
Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical industry experience.
Salary Package: 10 - 20 LPA
Pay: ₹1,000,000.00 - ₹2,000,000.00 per year
Work Location: In person
