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Senior Backend Engineer (Python / AI Systems)

Greenovative Energy Pvt. Ltd.
Posted on
Greenovative Energy Pvt. Ltd. logo

Experience
5 - 8 yrs
Job Location
Pune, India
Vacancy
1
Designation
Senior Backend Engineer
Job Type
ONSITE

Job Description


Job description
The Senior Backend Engineer (Python / AI Systems) will be responsible for designing, building, and scaling backend systems that power AI-driven and data-intensive enterprise applications. This role focuses on developing robust backend services, APIs, and data processing components that support analytics, machine learning, and real-time decision systems.
Roles and Responsibilities
  • Design, develop, and maintain scalable backend services and APIs using Python
  • Build backend systems that support AI/ML workflows, analytics pipelines, and data-driven applications
  • Design and implement data processing services for handling large-scale, time-series, and operational data
  • Collaborate with AI/ML, data engineering, and frontend teams to integrate models and analytics into production systems
  • Develop secure, high-performance RESTful and/or event-driven APIs for internal and external consumption
  • Optimize backend components for performance, reliability, and scalability in production environments
  • Implement robust data storage, caching, and retrieval mechanisms
  • Ensure system reliability through proper error handling, logging, and monitoring
  • Participate in architectural discussions and contribute to backend and platform design decisions
  • Write clean, maintainable, and well-documented code following best engineering practices
  • Review code, mentor junior engineers, and enforce coding standards
  • Support production systems by troubleshooting issues and implementing long-term fixes
Technical Skills & Requirements
  • Strong experience in backend development using Python
  • Experience building scalable APIs and backend services using modern frameworks
  • Solid understanding of data structures, algorithms, and backend system design
  • Experience working with relational and NoSQL databases
  • Familiarity with handling large datasets, data pipelines, and asynchronous processing
  • Experience integrating AI/ML models into backend services
  • Understanding of cloud-native architectures and distributed systems
  • Experience with version control, CI/CD pipelines, and production deployments
Skills & Competencies
  • Strong problem-solving and analytical skills
  • Ability to design systems with scalability, reliability, and maintainability in mind
  • Excellent collaboration skills across engineering, analytics, and product teams
  • Ownership mindset with focus on quality and long-term system health
  • Ability to work independently and drive complex backend initiatives
Preferred / Good to Have
  • Experience working with AI/ML platforms, analytics engines, or data-heavy systems
  • Exposure to real-time data processing or event-driven architectures
  • Familiarity with containerization and cloud deployment practices
  • Experience in industrial, energy, or enterprise SaaS environments
  • Exposure to performance tuning and system optimization

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