Qureos

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Python Developer

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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).

Job Types: Full-time, Permanent

Pay: From ₹700,000.00 per year

Benefits:

  • Health insurance
  • Provident Fund

Work Location: In person

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