Python Software Developer

We are looking for a Python Developer with strong backend skills and exposure to data/AI workflows. The role involves building secure, scalable backend services, integrating data and ML components into production, and collaborating closely with cross-functional teams.

Experience with Docker, data tools, and local/open-source LLMs will be a strong advantage.

• Key Responsibilities**
• Design, develop, and maintain backend services and APIs using Python and modern web frameworks (FastAPI, Flask, Django, etc.).
• Implement authentication, authorization, and security best practices across services and APIs.
• Optimize backend components for performance, scalability, and reliability, including query optimization, caching, and efficient data structures.
• Collaborate with frontend, product, and QA teams to deliver features end-to- end, from requirement gathering to production rollout.
• Collaborate with data scientists / ML engineers to integrate models into production, including API endpoints, inference services, and supporting pipelines.
• Work with data science / data engineering tools (Pandas, NumPy, Jupyter Notebook, etc.) for data manipulation, analysis, and validation.
• Implement and improve logging, monitoring, and observability for production systems to ensure reliability and quick issue resolution.
• Follow best practices in version control (Git), code reviews, testing, and CI/CD.
• Continuously identify opportunities to improve performance, scalability, and maintainability of existing systems.
• Stay up to date with relevant technologies and proactively adopt tools and practices that improve developer productivity and system quality.
• Required Skills & Qualifications**
• 4 - 7 years of professional experience as a Python Developer / Software Engineer.
• Strong understanding of Python fundamentals (OOP, data structures, error handling, modules, standard library).
• Strong problem-solving and analytical skills; ability to break down complex problems and design robust, scalable solutions.
• Experience with at least one web/backend framework: FastAPI, Flask, or Django.
• Good understanding of RESTful APIs, HTTP, JSON, and integration with external services.
• Familiarity with databases such as PostgreSQL, MySQL, or MongoDB, including schema design and query optimization.
• Experience with version control systems (preferably Git) and collaborative development workflows (branches, pull requests, code reviews).
• Experience with Docker or containerized deployments.
• Exposure to data science / data engineering tools such as Pandas, NumPy, Jupyter Notebook, etc.
• Understanding of logging, monitoring, and observability in production systems (e.g., Prometheus, Grafana, ELK/EFK, or similar stacks).
• Strong communication skills and ability to work effectively with cross-functional teams (frontend, product, QA, data, operations).
• Ability to learn new technologies quickly and adapt to changing business requirements.
• Proven ability to optimize applications for performance, scalability, and maintainability.
• Experience with local LLM / open-source model usage and deployment (e.g., running, optimizing, or integrating models like LLaMA, Mistral, Gemma, etc., in on- prem or containerized environments).