Responsibilities:
*Software Development & Architecture:**
* Design, develop, and maintain high-quality, efficient, and reusable Python code for complex applications and services.
*Lead the technical design and build comprehensive technical approaches** for new features, modules, and system enhancements, ensuring alignment with overall architectural goals and enterprise standards.
* Architect and implement sophisticated **scalability solutions** and performance optimizations to ensure applications can handle increasing loads, high traffic, and massive data volumes effectively.
* Expertly utilize and contribute expertise across various Python frameworks, including but not limited to **FastAPI, Django, Flask**, for building high-performance APIs, robust web applications, and mission-critical backend services.
* Drive best practices in software development, including code quality, testing, and documentation.
*Database Management & Optimization:**
* Deep expertise in working with and optimizing diverse database systems, including relational databases like **MySQL** and NoSQL databases such as **MongoDB** and **Elasticsearch**.
* Design and optimize complex database schemas, write highly efficient and scalable queries, and ensure data integrity, security, and performance across different database technologies.
* Experience with data modeling for analytical and transactional workloads.
*Cloud Infrastructure & Deployment:**
* Possess strong, practical knowledge and hands-on experience with **cloud infrastructure** (e.g., AWS, Azure, GCP) for deploying, managing, monitoring, and scaling production applications in a cloud-native environment.
* Design and implement robust CI/CD pipelines, automate deployment processes, and manage infrastructure as code.
* Understand cloud security best practices and cost optimization strategies.
*Research & Development (R&D) & Innovation:**
* Proactively engage in **R&D** to evaluate, experiment with, and integrate cutting-edge technologies, tools, and methodologies that can significantly improve our products and development processes.
* Stay abreast of the latest advancements in artificial intelligence, particularly **Generative AI** (e.g., LLMs, diffusion models), exploring opportunities for strategic integration into our solutions and building proof-of-concepts.
* Contribute to intellectual property and innovation initiatives.
*Problem Solving & System Reliability:**
* Apply exceptional analytical and **problem-solving skills** to diagnose and resolve highly complex technical issues, optimize system performance, and ensure unparalleled system reliability and uptime in production environments.
* Lead incident response for critical technical issues.
* Conduct thorough code reviews, enforce coding standards, identify architectural bottlenecks, and propose effective solutions.
*Collaboration & Mentorship:**
* Collaborate extensively with product managers, designers, quality assurance engineers, other developers, and business stakeholders to translate complex requirements into technical designs and deliver impactful, end-to-end solutions.
* Act as a technical leader and **mentor** to junior and mid-level developers, providing guidance, conducting knowledge transfer sessions, and fostering a culture of technical excellence and continuous learning.
* Contribute to the overall technical roadmap and strategy of the team.
Qualifications:
*5+ years of hands-on, demonstrable experience as a Senior Python Developer** with significant contributions to large-scale, production-grade applications.
*Proven track record of designing, implementing, and optimizing highly scalable and resilient solutions.**
*Expert-level proficiency with multiple Python frameworks, including FastAPI, Django, and/or Flask**, with experience in building complex APIs, microservices, and web applications.
*Deep and broad expertise with various database technologies, including advanced knowledge of MySQL, MongoDB, and Elasticsearch**, including performance tuning, replication, and sharding strategies.
*Extensive experience with cloud infrastructure (AWS, Azure, or GCP)**, including services for compute, storage, networking, and databases. Certifications are a plus.
*Exceptional analytical and complex problem-solving skills**, with a proven ability to debug and resolve critical production issues.
*Demonstrated strong ability to perform R&D**, evaluate new technologies, and translate research into practical applications.
*Solid understanding and practical experience with Generative AI technologies** (e.g., working with LLM APIs, fine-tuning models, understanding prompt engineering, or deploying AI models).
* Proficiency with containerization technologies (e.g., Docker, Kubernetes).
* Strong experience with version control systems (e.g., Git) and advanced branching strategies.
* Excellent communication, interpersonal, and presentation skills, with the ability to effectively articulate complex technical concepts to both technical and non-technical audiences.
* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent extensive practical experience.
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