Software Engineer FrontEnd Respnsive Sr

Location: Mexico, Aguascalientes, Monterrey

Work Location: hybrid

• Strong experience with React.
• Strong experience with TypeScript (JavaScript experience required).
• Experience integrating applications with AWS services.
• Experience with Terraform and Infrastructure as Code practices.
• Experience implementing and supporting CI/CD pipelines.
• Proficiency with Git and modern source control workflows.
• Experience working with REST APIs and system integrations.
• Understanding of cloud-native application development and deployment practices.

• Strong written and verbal communication skills.
• Ability to work independently and take ownership of features and deliverables.
• Strong analytical and problem-solving capabilities.
• Proactive approach to clarifying requirements and identifying risks.
• Ability to document solutions clearly using written documentation, diagrams, and examples.
• Comfortable collaborating in distributed and multilingual teams.
• Adaptable to changing priorities and feedback.

• Hands-on experience with Backstage development, customization, or administration.
• Experience building or extending Backstage plugins.
• Experience with GitLab and GitLab CI/CD.
• Platform Engineering or Developer Experience (DevEx) background.
• Kubernetes and containerization experience.
• Experience with AI-assisted development tools such as Cursor, Claude Code, Kiro, GitHub Copilot, or similar tools.

• Develop, customize, and maintain Backstage plugins, components, and integrations.
• Design and build user-facing features using React and TypeScript.
• Integrate Backstage with cloud platforms, CI/CD pipelines, source control systems, and internal engineering tools.
• Collaborate with stakeholders to gather requirements and translate them into scalable platform solutions.
• Build and maintain APIs and services that support Backstage functionality.
• Create and maintain technical documentation, diagrams, and implementation guides.
• Participate in architecture discussions and contribute to platform engineering best practices.
• Leverage AI-assisted development tools to improve productivity and code quality.
• Troubleshoot platform issues and proactively identify opportunities for improvement.