Senior Backend Engineer – Python & Java (Python Focus)

Location: Remote, Mexico

Nexaminds is looking for a Senior Backend Engineer with strong expertise in Python and working experience with Java to design, build, optimize, and scale high-performance backend systems and cloud-native applications. The ideal candidate will be Python-first, with experience building modern backend solutions in Python and the ability to maintain and contribute to existing Java-based services in a Google Cloud Platform (GCP) environment. Experience with AI/LLM integrations is highly valued.

Requirements:

5–8+ years of professional backend engineering experience with strong Python development skills.

Strong hands-on experience building scalable backend services, REST APIs, and data pipelines using Python.

Professional experience with Java, with the ability to maintain, troubleshoot, and contribute to existing Java services.

Experience with Python backend frameworks such as FastAPI, Flask, or Django.

Experience with testing frameworks such as pytest and building reliable, maintainable backend applications.

Deep expertise with Google Cloud Platform (GCP) and cloud-native architectures.

Experience designing and maintaining microservices and distributed systems.

Familiarity with Large Language Models (LLMs) and AI/ML backend integration patterns.

Experience utilizing AI-assisted development tools such as GitHub Copilot to improve development efficiency and code quality.

Strong Application Security (AppSec) mindset, with experience identifying and remediating codebase and dependency vulnerabilities.

Excellent communication skills to collaborate effectively across cross-functional product, data, and infrastructure teams.

Strong written and verbal English proficiency.

Job Duties:

Design, build, and deploy scalable backend services, APIs, and data pipelines primarily using Python on Google Cloud Platform.

Develop new backend capabilities using Python, while maintaining and enhancing existing Java services as needed.

Work with Python frameworks, testing tools, APIs, and cloud services to deliver reliable and scalable backend solutions.

Integrate AI/LLM capabilities into backend applications and support modern AI-driven workflows.

Modernize and optimize cloud infrastructure, ensuring high availability, scalability, and reliability.

Leverage GitHub Copilot and other AI-assisted development tools to improve engineering productivity and code quality.

Proactively identify, prioritize, and remediate security vulnerabilities to ensure application safety and data protection.

Conduct code reviews, promote best engineering practices, maintain high test coverage, and produce clear technical documentation.

Collaborate closely with product, data, and infrastructure teams to deliver high-quality backend solutions.