Senior Full Stack Software Engineer
About the Role
We're seeking a talented Senior Full Stack Software Engineer to join our growing engineering team at InfiniteChoice . You'll lead the design and development of cloud-native software solutions that serve millions of users and power billions in transaction volume.
As a Senior Full Stack Software Engineer, you'll own the complete software development lifecycle from solution design and implementation through testing, production deployment, monitoring and continuous improvement. AI-driven development is a core part of how we build software. You'll leverage modern AI development tools and agentic workflows throughout the engineering lifecycle to accelerate development, improve quality, automate testing, troubleshoot issues and continuously improve production systems.
We're looking for engineers who combine strong software engineering fundamentals with an AI-first mindset using AI as a force multiplier while maintaining ownership of architecture, code quality, security, reliability and business outcomes.
What You Will Do
AI-Driven End-to-End Product Development
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Design: Partner with Product and Design to translate business requirements into technical designs, leveraging AI to accelerate requirements analysis, solution exploration, technical specifications and implementation planning.
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Development: Build scalable full-stack applications using Node.js, Vue.js/React, JavaScript/TypeScript and cloud-native technologies while leveraging AI-assisted development and agentic coding workflows to accelerate implementation.
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Code Quality: Leverage AI-assisted code reviews and analysis to identify defects, security risks, architectural inconsistencies, code duplication and opportunities for greater component and service reusability.
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Testing: Use AI to develop and continuously improve comprehensive automated testing across unit, integration, end-to-end, regression, and performance testing.
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Deployment: Own applications through production deployment using automated CI/CD pipelines and modern DevOps practices, leveraging AI-driven automation where appropriate.
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Monitoring & Operations: Own production health through observability, performance monitoring, alerting and incident response, using AI-assisted analysis to accelerate troubleshooting, root-cause analysis, and remediation.
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Continuous Improvement: Use production telemetry, customer behavior, incidents and engineering metrics to identify opportunities to continuously improve product quality, reliability, performance and maintainability.
Cloud-Native Software Development
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Architect and develop scalable services using Node.js and modern application frameworks.
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Build dynamic, responsive user experiences using Vue.js/React and modern JavaScript/TypeScript.
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Design APIs, services and integration patterns that enable reusable capabilities across applications.
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Build serverless and containerized applications for scalable cloud deployment.
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Design software for performance, security, resilience, observability and maintainability.
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Apply strong architectural principles and engineering judgment when evaluating and validating AI-generated solutions.
Technical Excellence & AI-First Engineering
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Champion AI-driven software engineering practices across the complete development lifecycle.
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Continuously experiment with and adopt modern AI development tools, coding agents, and engineering automation that improve developer productivity and software quality.
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Treat AI-generated code with the same engineering rigor as human-written code, ensuring solutions meet architectural, security, performance, testing, and maintainability standards.
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Write clean, modular, reusable and maintainable code following established engineering standards.
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Identify opportunities to create reusable components, services, patterns, and automation rather than duplicating solutions across products.
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Participate in technical design and code reviews and prov