
Full Stack Developer
Posted Jul 29

Posted Jul 29
This is a fully remote position, open to applicants in India.
• Design, develop, and manage scalable backend systems utilizing Python and Django.
• Create secure, high-performance APIs using Django REST Framework.
• Collaborate with engineering and analytics teams to incorporate AI/ML models and provide actionable insights.
• Ensure data security, compliance, and integrity across all systems and integrations.
• Work alongside the Analytics Engineer to enhance data pipelines and processing workflows.
• Develop and improve responsive, user-friendly dashboards and web applications.
• Create frontend components using HTML, CSS, JavaScript, and React.
• Convert UI/UX designs into clean, functional, and engaging user experiences.
• Maintain consistency across frontend applications by utilizing established design systems.
• Collaborate with RESTful and JSON-based APIs to facilitate seamless data transfer across platforms.
• Assist with deployment, maintenance, and management of cloud-based application environments, preferably on Azure.
• Help with integrations involving third-party platforms, including HubSpot.
• Engage closely with business stakeholders, engineers, AI teams, and product collaborators to gather and implement requirements.
• Provide technical insights that enhance product capabilities and influence roadmap decisions.
• Take part in Agile ceremonies, such as sprint planning, code reviews, and task tracking via Azure Boards.
• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Minimum of 3 years of full-stack development experience, with a strong focus on backend.
• Extensive experience with Python and Django / Django REST Framework.
• Proficient in React, HTML, CSS, and JavaScript.
• Experience with MySQL and PostgreSQL databases.
• Demonstrated ability to design and maintain secure, scalable APIs.
• Experience with REST APIs and integrating third-party systems.
• Practical experience with Azure services, including Azure App Service, Azure SQL, and Azure DevOps.
• Familiarity with Git, Azure Repos, and contemporary DevOps practices.
• Strong understanding of application security, data governance, and system reliability.
• At least 2 years of hands-on AI/ML experience in production settings.
• Experience incorporating machine learning models into applications and dashboards.
• Knowledge of model deployment, performance optimization, and AI integration workflows.
• Proficient in English communication skills.
• Willingness to work adjusted U.S. hours for team collaboration.
• Long-term contract opportunity with significant growth potential.
• Fully remote working environment.
• Flexible and collaborative team culture.
• Performance-based bonus opportunities.
• Team workshops, retreats, and asynchronous-friendly collaboration.
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