Python Developer at Business Solutions & Services (BSS) -…

About The RoleWe are searching for a motivated and talented Mid-Level Python Developer to join our core engineering team. This role is focused on the implementation, maintenance, and optimization of our high-volume backend services and critical application infrastructure. While your core responsibilities will cover general backend excellence, you will be joining a team that primarily develops our highly-localized, next-generation conversational AI platform. The ideal candidate will have strong foundational Python skills complemented by experience in AI/NLP or internationalization.You will play a vital role in ensuring the scalability, stability, and performance of applications used by a global user base.Key ResponsibilitiesCore Software Engineering Backend DevelopmentDesign, develop, and maintain robust, scalable, and high-performance backend systems and RESTful APIs using Python and modern frameworks (e.g., Flask or FastAPI).Write clean, reusable, well-tested code, actively participating in code reviews to uphold engineering standards and best practices.Collaborate with cross-functional teams (Product, UX, Data) to understand requirements and translate them into technical designs and implemented features.Implement and manage data storage solutions, defining efficient schemas for both relational (SQL) and non-relational (NoSQL) databases.Optimize existing application components for improved performance, lower latency, and higher throughput.Operational Excellence InfrastructureContribute to continuous integration and continuous deployment (CI/CD) pipelines.Utilize containerization technologies (e.g., Docker) for development, testing, and deployment processes.Troubleshoot, debug, and resolve complex issues in development, testing, and production environments.Maintain comprehensive technical documentation for new features and system architecture.Required Qualifications (Must-Haves)Experience: 2 – 4 years of professional experience as a Python Developer in a production software environment.Python Stack: Solid proficiency in Python and experience working with a Python web framework (e.g., Django, Flask, or FastAPI).AI/NLP Foundations: Practical experience or strong foundational knowledge in Natural Language Processing (NLP), including working with relevant Python libraries (e.g., spaCy, NLTK, or similar).Conversational Systems: Experience developing or integrating conversational applications (chatbots) or working with related technologies.Localization Knowledge: Working understanding of internationalization (i18n) and localization (l10n) principles in a software development context.Databases: Experience with database systems (SQL or NoSQL).Version Control: Proficiency with Git and standard Agile/Scrum development methodologies.Education: Bachelors degree in Computer Science, Software Engineering, or a related technical field.Preferred Qualifications (Nice-to-Haves)Direct experience with a major conversational AI platform (e.g., Rasa, Dialogflow, or custom LLM wrappers like LangChain).Familiarity with Docker and basic cloud deployment concepts (AWS, GCP, or Azure).Experience with large-scale data handling or message queues (e.g., RabbitMQ, Kafka).Ability to mentor junior developers and lead technical discussions on system design.