Full Stack Developer

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🔥 37 minutes ago

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Tead

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- employees

📋 Description

• Design, build, and maintain scalable backend systems using Python and Django • Develop secure, high-performance APIs using Django REST Framework • Collaborate with engineering and analytics teams to integrate AI/ML models and generate actionable insights • Support data security, compliance, and integrity across systems and integrations • Partner with the Analytics Engineer to improve data pipelines and processing workflows • Build and enhance responsive, user-friendly dashboards and web applications • Develop frontend components using HTML, CSS, JavaScript, and React • Translate UI/UX designs into clean, functional, and engaging user experiences • Ensure consistency across frontend applications using established design systems • Work with RESTful and JSON-based APIs to enable seamless data exchange across platforms • Support deployment, maintenance, and cloud-based application environments, with a preference for Azure • Assist with integrations across third-party platforms, including HubSpot • Work closely with business stakeholders, engineers, AI teams, and product collaborators to gather and implement requirements • Contribute technical ideas that improve product capabilities and roadmap decisions • Participate in Agile ceremonies, including sprint planning, code reviews, and task tracking using Azure Boards

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field • Minimum 3 years of full-stack development experience, with strong backend depth • Strong experience with Python and Django / Django REST Framework • Strong experience with React, HTML, CSS, and JavaScript • Experience with MySQL and PostgreSQL • Proven ability to design and maintain secure, scalable APIs • Experience working with REST APIs and third-party system integrations • Hands-on experience with Azure services such as Azure App Service, Azure SQL, and Azure DevOps • Experience using Git, Azure Repos, and modern DevOps practices • Strong understanding of application security, data governance, and system reliability • At least 2 years of hands-on AI/ML experience in production environments • Experience integrating machine learning models into applications and dashboards • Familiarity with model deployment, performance optimization, and AI integration workflows • Fluent English communication skills • Availability to work modified U.S. hours for team collaboration

🏖️ Benefits

• Long-term contract opportunity with strong growth potential • Fully remote work environment • Flexible and collaborative team culture • Performance-based bonus potential • Team workshops, retreats, and async-friendly collaboration