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Blend360

Senior Fullstack Engineer

Blend360

Senior Fullstack Engineer at Blend contributing to AI-powered web applications. Collaborating across teams with a focus on backend development using Python and AWS.

Posted 6/6/2026full-timeRemote • 🇦🇷 ArgentinaSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudEC2PythonReact

About the role

Key responsibilities & impact
  • Collaborate with cross-functional teams to deliver high-quality, scalable products using cutting-edge technologies including React, Python, and AWS.
  • Design, develop, and maintain backend (Python/FastAPI) and frontend (React) components of web applications, with a primary focus on backend architecture and performance.
  • Build and integrate AI-powered features and systems into production applications, collaborating with data science and ML teams as needed.
  • Collaborate with cross-functional teams to gather requirements and deliver new features end-to-end.
  • Write clean, scalable, and well-documented code following software development best practices.
  • Architect and integrate cloud-based solutions using AWS services to ensure reliability and scalability.
  • Design and maintain RESTful APIs with a focus on performance, security, and maintainability.
  • Optimize application performance across the stack, ensuring a seamless and high-quality user experience.
  • Participate in code reviews, providing and receiving constructive feedback to maintain code quality standards.
  • Troubleshoot, debug, and resolve issues across the full stack in a timely and effective manner.
  • Stay current with emerging technologies, AI frameworks, and industry trends to continuously improve solutions.

Requirements

What you’ll need
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or an equivalent field.
  • Strong proficiency in Python and FastAPI for backend development, including RESTful API design, implementation, and optimization.
  • Solid hands-on experience with React for frontend development, including component architecture and state management.
  • Demonstrated experience working with AI systems, LLM integrations, or AI-powered applications.
  • Practical experience with AWS cloud services (e.g., EC2, S3, Lambda, RDS, or equivalent).
  • Experience with relational and/or non-relational databases.
  • Familiarity with version control systems, particularly Git, and collaborative development workflows.
  • Strong problem-solving skills, attention to detail, and ability to take ownership of complex technical challenges.
  • Ability to work effectively in agile, cross-functional team environments.
  • English: Advanced (required for effective communication with global teams).

Benefits

Comp & perks
  • 📚 Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
  • Access to AI learning paths to stay up to date with the latest technologies.
  • Study plans, courses, and additional certifications tailored to your role.
  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
  • English lessons to support your professional communication.
  • 👨🏽‍💻 Travel opportunities to attend industry conferences and meet clients.
  • 👩‍🏫 Mentoring and Development: Career development plans and mentorship programs to help shape your path.
  • 🎁 Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
  • Company-provided equipment.
  • ⚖️ Flexible working options to help you strike the right balance.
  • Other benefits may vary according to your location in LATAM.

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Hard Skills & Tools
PythonFastAPIReactRESTful API designAI systemsLLM integrationsAWSEC2S3Lambda
Soft Skills
problem-solvingattention to detailownershipcollaborationagile methodologycross-functional teamworkcommunication
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Software Engineering