Job Summary:
We are looking for a skilled Full-Stack Developer with expertise in Python to join our team. The ideal candidate should have experience working with both frontend and backend technologies, building scalable applications, and working with databases.
Key Responsibilities:
Develop and maintain scalable web applications using Python and modern frontend frameworks.
Design, implement, and manage RESTful APIs.
Work with databases such as PostgreSQL, MySQL, or MongoDB.
Collaborate with the team to define, design, and ship new features.
Ensure the performance, security, and scalability of applications.
Debug and troubleshoot issues in production and non-production environments.
Follow best practices for clean, maintainable, and efficient code.
Required Skills & Qualifications:
3+ years of experience as a Full-Stack Developer.
Proficiency in Python and frameworks like Django or FastAPI.
Experience with frontend technologies: React.js, Vue.js, or Angular.
Strong knowledge of SQL and NoSQL databases.
Experience with Docker, Kubernetes, and cloud platforms like AWS/GCP/Azure is a plus.
Familiarity with Git, CI/CD pipelines, and DevOps practices.
Good understanding of system design and microservices architecture.
Strong problem-solving skills and ability to work in a team.
Skills Required
- 3+ years of experience as a Full-Stack Developer
- Proficiency in Python and frameworks such as Django or FastAPI
- Experience with frontend technologies including React.js, Vue.js, or Angular
- Strong knowledge of SQL and NoSQL databases
- Experience with Docker, Kubernetes, and cloud platforms such as AWS, GCP, or Azure
- Familiarity with Git, CI/CD pipelines, and DevOps practices
- Good understanding of system design and microservices architecture
- Strong problem-solving skills and ability to work in a team
What We Do
INI8 Labs is a technology-first services company that helps startups and enterprises build scalable, future-ready systems using data, DevOps, cloud infrastructure, and AI. Its work spans CI/CD and cloud migration, data pipelines, analytics and warehousing, predictive insights, and generative-AI/LLM integrations such as chatbots and workflow automation. Combining engineering expertise with domain knowledge, it aims to simplify complex technology and support practical digital transformation across industries.
