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Вакансия опубликована 9 дн. назад - шансы на ответ снижаются.
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Описание вакансии
Текст:
TL;DR
Software Engineer (Cloud/AI): Building and supporting modern retail and enterprise platforms in a cloud-native environment with an accent on APIs, microservices, automated testing, and AI-assisted development. Focus on implementing integrations and platform enhancements, troubleshooting production issues, and improving CI/CD, deployment automation, and observability.
Location: Guadalajara, Mexico; onsite
Company
Develops modern retail platforms and enterprise commerce solutions.
What you will do
- Design, develop, test, debug, and support software for retail and enterprise platforms.
- Implement user stories, technical tasks, integrations, APIs, and platform enhancements in Agile delivery teams.
- Use AI-assisted development tools for coding, testing, documentation, and analysis.
- Participate in discovery activities, proof-of-concept development, code reviews, and architectural discussions.
- Support production deployments, post-release validation, troubleshooting, and root-cause analysis.
- Contribute to automated testing, CI/CD pipelines, deployment automation, observability, and technical documentation.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- At least 3 years of professional software development experience.
- Experience with Java, TypeScript, JavaScript, or similar modern programming languages.
- Experience building cloud-native applications, APIs, microservices, or distributed systems using Azure, AWS, or similar platforms.
- Working knowledge of REST APIs, SQL databases, source control, CI/CD, automated testing, and DevOps practices.
- Strong problem-solving, troubleshooting, communication, and independent delivery skills.
Nice to have
- Experience with Java, Spring Boot, React, or Vue.
- Experience with Docker, Kubernetes, event-driven architectures, and messaging technologies.
- Experience in Agile or Dual-Track Agile environments and with retail, POS, payments, or commerce platforms.
- Knowledge of software quality, observability, operational support, and AI-enabled engineering workflows.
Culture & Benefits
- Collaboration with senior engineers, architects, product teams, QA, DevOps, and professional services.
- Work within a Dual-Track Agile environment covering both discovery and delivery.
- Opportunities to expand technical expertise and improve engineering practices.
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