Backend developer

About the role

The role owner designs and maintains cloud-native backend systems that power Lingaro Group's data platform on Google Cloud. This position requires deep accountability for service reliability, security, and performance in production environments. The successful hire will own the full lifecycle of backend features, from initial design and implementation through monitoring and iterative improvement. You will collaborate closely with cross-functional partners to translate business needs into robust technical specifications and code. This position demands comfort with ambiguity and the ability to drive projects forward with minimal supervision. The hire will act as a key technical contributor while mentoring less experienced team members on best practices. You will be responsible for ensuring that all solutions align with cloud cost efficiency, scalability, and operational excellence. Continuous learning and adaptation to new technologies within the GCP ecosystem are essential aspects of this role.

Key facts

What you'll do

Architect and deploy scalable backend services on Google Cloud Platform using Cloud Run, Cloud SQL, and GCS Buckets.

Implement resilient networking configurations and integrate Google Cloud Redis MemoryStore for caching and session management.

Design and maintain PostgreSQL databases, optimizing queries, indexing strategies, and backup procedures for high reliability.

Containerize applications with Docker and define infrastructure as code to support consistent deployments across environments.

Build and maintain CI/CD pipelines using GitHub Actions to automate testing, linting, and deployment workflows.

Work within a GitHub-based development workflow, managing version control, pull requests, and constructive code reviews.

Develop and maintain robust backend APIs using Python, FastAPI, Pydantic, and SQLAlchemy with a focus on clean architecture.

Ensure data integrity and performance through careful schema design, query optimization, and ongoing database maintenance.

Implement background job processing patterns using Celery to handle asynchronous tasks and long-running operations.

Contribute to data engineering and analytics initiatives by interfacing with platforms such as Databricks when required.

Write clean, well-documented code that supports frontend components built with TypeScript, Next.js, TailwindCSS, and Node.js.

Monitor deployed services, analyze logs and metrics, and proactively identify bottlenecks or failure points.

Champion DevOps best practices, focusing on security, observability, and efficient resource utilization in cloud environments.

Continuously evaluate new tools and methodologies to improve development velocity, system stability, and operational simplicity.

Requirements

Candidates must have hands-on experience building applications on Google Cloud Platform, specifically with services like Cloud Run and Cloud SQL.

You should be proficient in Python and demonstrate strong object-oriented and functional programming skills.

A solid understanding of RESTful API design principles and web protocols such as HTTP, JSON, and authentication mechanisms is required.

Experience with containerization technologies, particularly Docker, and container orchestration concepts is mandatory.

You must have expertise in working with PostgreSQL, including complex queries, transaction management, and performance tuning.

Knowledge of CI/CD pipelines and GitHub Actions is essential for automating testing and deployment processes.

Strong skills in using Git for version control, including branching strategies, merging, and resolving merge conflicts are required.

You must be comfortable working in a collaborative GitHub-based environment, adhering to code review standards and pull request workflows.

Experience with background job processing using Celery is a strict requirement for handling asynchronous operations efficiently.

Familiarity with data platforms such as Databricks or similar analytics engines is necessary for certain data-intensive tasks.

Exposure to modern frontend technologies, including TypeScript, Next.js, TailwindCSS, and Node.js, is required to support full-stack responsibilities.

A strong DevOps mindset is expected, including knowledge of infrastructure as code, monitoring, logging, and cloud cost optimization.

You must be able to write clear, maintainable code and produce technical documentation that supports long-term project sustainability.

The ability to troubleshoot production issues and implement fixes with minimal disruption to users is a critical competency.

Nice to have

Experience with Celery or background job processing frameworks.

Experience working with Databricks or data engineering and analytics platforms.

Exposure to modern frontend frameworks and full-stack development practices.

Strong DevOps mindset and familiarity with cloud infrastructure best practices.

Practical notes

The position is full-time and based in Mexico.

Standard working hours apply, and candidates must be available during local business hours.

No visa sponsorship is provided for this role.

Candidates must be able to start promptly and commit to the agreed schedule.

Travel is not required for this position.