Senior Python Developer in India at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Python Developer in India.

This role sits at the intersection of backend engineering and machine learning innovation, where you will help transform advanced ML models into scalable, production-ready software systems. You will work in a fast-paced, globally distributed environment focused on building high-performance backend services that power data-driven real estate technology solutions. The position involves close collaboration with ML engineers, data teams, and DevOps specialists to design and deliver robust, scalable architectures. You will contribute to integrating modern AI technologies such as transformers and vector databases into real-world applications. Strong emphasis is placed on system performance, reliability, and maintainability across production environments. This is an opportunity to work on impactful, AI-enabled platforms while contributing to engineering excellence and innovation at scale.

In this role, you will design, build, and optimize backend systems that power machine learning-driven applications, ensuring scalability, performance, and seamless integration across services.

• Collaborate with machine learning and product teams to integrate ML models and data pipelines into production-grade backend systems
• Design, develop, and maintain scalable backend APIs and microservices using Python
• Architect robust solutions leveraging ML technologies such as transformers, vector databases, and related frameworks
• Ensure high code quality through best practices in testing, performance optimization, and maintainability
• Build and manage CI/CD pipelines to enable automated testing, reliable deployments, and efficient release cycles
• Work closely with DevOps teams to optimize infrastructure and ensure smooth deployment, monitoring, and scaling of services
• Troubleshoot backend issues, identify performance bottlenecks, and implement effective long-term fixes
• Mentor junior developers and promote engineering best practices and knowledge sharing within the team
• Stay updated on emerging technologies in backend engineering, cloud infrastructure, and machine learning systems

This role requires strong backend engineering expertise, deep Python proficiency, and experience building scalable systems in production environments, ideally with exposure to ML or data-driven platforms.

• 6+ years of experience as a backend Python developer in production environments
• Strong proficiency in Python and backend architecture design
• Experience building scalable APIs and microservices architectures
• Familiarity with machine learning technologies such as transformers, vector databases, or related tools
• Strong understanding of deployment practices including dependency management, containerization, and production orchestration
• Hands-on experience with CI/CD pipelines and automated deployment workflows
• Experience working with cloud platforms such as AWS (e.g., EC2, S3)
• Knowledge of databases such as PostgreSQL and MongoDB
• Familiarity with Kubernetes or similar container orchestration tools is a plus
• Exposure to data pipeline tools such as Airbyte or Meltano is a bonus
• Strong problem-solving skills with the ability to debug complex backend issues
• Excellent communication and collaboration skills in cross-functional teams
• Ability to work in agile, fast-paced engineering environments
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

• Competitive compensation aligned with experience
• Opportunity to work on AI-driven, large-scale backend systems
• Exposure to modern machine learning technologies and production ML pipelines
• Global, collaborative engineering environment
• Career growth opportunities in backend and AI engineering domains
• Flexible work culture depending on team and project requirements
• Strong focus on engineering best practices, learning, and mentorship
• Opportunity to contribute to high-impact, data-intensive products in real estate technology