Step into the role of a Python Artisan Engineer, where craftsmanship meets innovation. Your mission will be to expertly shape our social media platform, seamlessly integrating API, data processing, and AI engineering. As an artisan, you will weave together technical mastery with forward-thinking solutions. Join our cadre of specialists in setting the gold standard for the next era of digital progression.
Role Description
As a Python Platform Developer, you'll dive deep into our platforms API layer, while also mastering the core data processing elements. The role requires collaboration with diverse technical and non-technical teams, which include product strategists, QA experts, data specialists, and tech architects.
Key Responsibilities
API Development: Craft and optimize our API layer, leveraging technologies such as FastAPI, Pydantic, Kafka, and Redis.
Core Data Processing Layer: Oversee and enhance the core data processing operations utilizing tools like Apache Airflow and Kafka Sensors, MongoDB ( mql ).
AI Engineering: Engage with leading LLMs, including OpenAI, Llama, and Vector database. Design and deploy state-of-the-art solutions for both generative and descriptive AI. Seamlessly integrate AI Copilot into the development lifecycle, harnessing its generative code and solution design capabilities.
Quality Assurance: Commit to our high standards by ensuring every piece of code goes through rigorous automated testing - spanning unit tests, integration, and end-to-end tests.
Data Management: As we delve deep into the domain of social media, be adept at handling vast data scales. Your responsibilities will encompass crafting efficient queries and honing existing ones.
Collaboration: Immerse yourself in our extreme programming approach that promotes pair programming, alignment with QA for testing paradigms, and synergies with tech architects for superior solutions.
Essential Qualifications
Minimum 4 years of backend development experience with Python.
Proficiency in integrating with data layers such as MongoDB, Kafka, and handling CRUD operations, schema migrations, and CDD, ETL data pipelines interaction.
Expertise in prominent Python web & ORM frameworks.
Comprehensive understanding of the Software Development Life Cycle, emphasizing continuous integration and deployment.
Steadfast commitment to upholding data privacy and security standards.
Preferred Qualifications
Experience with containerization, specifically Docker, and optimizing its performance.
Hands-on experience in GitOps, primarily in steering automation code pipelines.
Familiarity with Kubernetes and ArgoCD for streamlined deployments and application configurations.
Solid background working in cloud environments, especially AWS.
Our Promise
By joining us, you're not just becoming a part of a team; you're entering a community. With our dedication to collaboration, continuous learning, and quality, you're poised to thrive in an environment that simultaneously challenges and nurtures.
