Full-Stack Engineer

Company Overview

Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. Since 2010, it has delivered quality projects globally in IoT, blockchain, fintech, banking, networking, and ecommerce, fostering innovation through close client collaboration.

Job Summary

You will support full-stack application development and deployment, improving prototypes into production-ready solutions. Collaborate with teams to maintain environments, automate deployments, and ensure application reliability and observability.

Responsibilities

• Support full-stack application development, including front-end, back-end, APIs, and integrations to deliver robust solutions.
• Refactor and productionize prototypes developed by forward-deployed teams to enhance code quality, structure, maintainability, and reliability.
• Set up and maintain development, testing, and deployment environments to ensure smooth software delivery.
• Implement and improve CI/CD pipelines, containerization, and deployment automation to accelerate release cycles.
• Configure logging, monitoring, observability, and alerting systems to support applications during pilots and production deployment.
• Develop and execute unit, integration, regression, and end-to-end tests to ensure software quality and performance.
• Investigate, reproduce, and resolve bugs and technical issues identified during user testing and live pilots to maintain system stability.
• Collaborate closely with product managers, engineers, and agency users to quickly resolve implementation issues and improve user experience.
• Build and deploy full-stack web applications using modern front-end and back-end technologies such as React, TypeScript, and Python frameworks.
• Apply software engineering best practices including Git version control, automated testing, and code review to maintain codebase integrity.
• Utilize DevOps and deployment tools such as Docker, CI/CD platforms, and cloud or container-based environments to streamline operations.
• Monitor application performance and observability to proactively identify and address issues.

Preferred competencies and qualifications

• Degree in Information Systems, Computer Science, or Computer Engineering.
• Experience building or deploying AI-enabled applications, large language model (LLM)-based workflows, or agentic systems.