About this role
About the Role VALCE T@lent Solutions is seeking a Lead Software Engineer to design, build, test, and optimise production-grade backend and frontend services for enterprise applications. The role is fully remote with a Guadalajara presence, focusing on cloud-native architectures, APIs, and AI-enabled engineering productivity. You will own end-to-end technical deliverables and help shape scalable systems. What You'll Do
- Design, build, test, and optimise production-grade backend services using Java and Python.
- Build modern, responsive enterprise interfaces with React, including Next.js patterns.
- Design and build APIs (RESTful, contracts, versioning, security, and integration).
- Develop cloud-native applications using containers, Kubernetes, microservices, and managed cloud services in AWS and/or Azure.
- Architect and implement event-driven, asynchronous messaging, streaming, and resilient distributed systems.
- Leverage AI tools to improve engineering productivity across coding, testing, debugging, documentation, and release workflows.
- Maintain and apply software engineering quality metrics such as code quality, test automation, reliability, performance, observability, and maintainability. What We're Looking For
- Strong hands-on programming expertise in Java and Python, and ability to design, build, test, and optimise backend services.
- Strong experience with React for building modern, responsive, and intuitive user interfaces for enterprise applications.
- Experience with Next.js or modern front-end architecture patterns alongside React.
- Deep experience building cloud-native applications using containers, Kubernetes, microservices, and managed cloud services in AWS and/or Azure.
- Strong expertise in designing and building APIs, including RESTful services, service contracts, versioning, security, and integration patterns.
- Proven experience with event-driven architecture, asynchronous messaging, streaming, and resilient distributed system design.
- Practical experience using AI tools to improve engineering productivity across coding, testing, debugging, documentation, and release workflows.
- Strong understanding of software engineering quality metrics such as code quality, test automation, reliability, performance, observability, and maintainability. Nice to Have
- Experience building agentic applications or AI-powered system