Senior Python Backend Engineer - Remote, GCP & AI

Nexaminds; Mexico; On-site; PHP 4,923,076 - 8,615,384; Full time

Benefits offered by this job

Stock options

Remote work options

Flexible working hours

Benefits above the law

Mentorship and learning opportunities

Job summary

Nexaminds is seeking a Senior Backend Engineer to design, build, and scale high-performance backend systems in a remote Mexico setting. The role emphasizes Python development with strong Java contribution, in a Google Cloud Platform environment, and expects hands-on experience with AI/LLM integrations.

You will modernize cloud infrastructure, ensure availability and security, and collaborate across product, data, and infrastructure teams to deliver robust backend solutions.

Qualifications

• 5–8+ years of backend engineering experience with strong Python development skills and solid Java experience.
• Proficient in Python and Java; REST APIs and data pipelines.
• Deep expertise with Google Cloud Platform (GCP) and microservices architecture.
• Familiarity with AI/LLMs and AI/ML backend integration patterns.
• Excellent written and verbal English communication.

Responsibilities

• Design, build, and deploy scalable backend services, APIs, and data pipelines using Python and Java on Google Cloud Platform.
• Develop new backend capabilities primarily in Python while maintaining and enhancing existing Java services.
• Integrate AI/LLM capabilities into backend applications and support modern AI-driven workflows.
• Modernize and optimize cloud infrastructure for high availability, scalability, and reliability.
• Collaborate with product, data, and infrastructure teams to deliver high-quality backend solutions.

Skills

Python

Java

GCP

Microservices

REST APIs

LLM integration

AI-assisted development

AppSec

English proficiency

Tools

GitHub Copilot

CI/CD tooling

Cloud-native tooling

Job description

Nexaminds is seeking a Senior Backend Engineer to design, build, and scale high-performance backend systems in a remote Mexico setting. The role emphasizes Python development with strong Java contribution, in a Google Cloud Platform environment, and expects hands-on experience with AI/LLM integrations.

You will modernize cloud infrastructure, ensure availability and security, and collaborate across product, data, and infrastructure teams to deliver robust backend solutions.