Lead Software Engineer

Turtle Trax S.A.; Región Centro; Hybrid; MXN 900,000 - 1,200,000; Full time

Job summary

Turtle Trax S.A. is seeking a senior full-stack engineer to design and implement backend services in Java and Python while delivering modern enterprise UI in React.

The role requires cloud-native expertise with Kubernetes, containers, and microservices, plus strong API design and event-driven patterns across AWS or Azure environments. You will work in a hybrid setup in Guadalajara, collaborating across teams to improve reliability, performance, and developer productivity using AI-assisted

Qualifications

• Proficient in Java and Python with hands-on backend design experience.
• Strong React experience for enterprise UI development.
• Cloud-native apps with containers, Kubernetes, microservices and managed cloud services (AWS/Azure).
• API design including RESTful services, versioning, security and integration patterns.
• Experience with event-driven architecture, asynchronous messaging and streaming.
• Familiar with AI tooling to boost engineering productivity.
• Focus on code quality, test automation, performance, observability and maintainability.

Skills

Java

Python

Backend design

APIs design

Event-driven

AI tooling

Code quality

Tools

Kubernetes

Docker

AWS

Azure

Next.js

Kafka

CI/CD

Job description

Must-Have

• Strong hands-on programming expertise in Java and Python, with the ability to design, build, test, and optimise production-grade 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

Good to Have

• Experience building agentic applications or AI-powered systems using LLMs, orchestration frameworks, retrieval, tool calling, and workflow automation
• Experience with API gateway, service mesh, and enterprise integration patterns
• Experience with Kafka, event streaming platforms, or large-scale messaging ecosystems
• Exposure to CI/CD automation, infrastructure as code, and release engineering practices
• Experience in regulated enterprise environments where security, governance, compliance, and auditability are critical
• Ability to mentor engineers and influence architecture, engineering standards, and developer productivity at team level

Advanced english

Hybrid- Guadalajara