Remote Backend Engineer (Python/Node.js)

Description:

• The Backend Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and APIs to integrate platforms like Slack, Jira, and GitHub, ensuring efficient data flow and accessibility.
• They will develop and maintain databases with optimal performance, data integrity, and security, utilizing both SQL and NoSQL databases.
• The role involves applying various Python libraries and frameworks to address business challenges, creating interactive dashboards using tools like Retool for data visualization, and designing web crawling strategies to collect and preprocess large datasets for AI models.
• Integration with Large Language Models like GPT for AI-based applications and providing ongoing support and maintenance for data integrations are key responsibilities.
• Staying updated with the latest trends in AI, data engineering, API integrations, and analytics to enhance processes and systems continuously is essential.

Requirements:

• 5+ years of professional software engineering experience, with expertise in Python and a solid understanding of Object-Oriented Programming (OOP) principles.
• Mid-level experience in JavaScript, including Node.js for backend development, and proficiency in SQL for managing relational databases.
• Knowledge of front-end web development using HTML, CSS, and JavaScript, along with a Bachelor's degree in Computer Science or related field.
• Nice to have: Familiarity with web scraping tools, data visualization tools, cloud platforms like AWS, GCP, or Azure, prompt engineering, Large Language Models (LLMs), Langchain, TypeScript, and modern front-end frameworks like React.

Benefits:

• Opportunity to play a crucial role in building and enhancing internal products to help the company scale rapidly.
• Work on diverse projects from creating Analytics dashboards to leveraging AI for workflow automation.
• Integration with various platforms and libraries to ensure seamless data flow and system efficiency.
• Continuous learning and application of new technologies in AI, data engineering, and analytics.
• Equal Opportunity / Affirmative Action employer committed to diversity in the workplace.