Lingaro
Backend developer
Employment
Full-timeFrom the employer
Full-time
Level
Not statedTeam
Python - Juliett / CC Software DevelopmentCountry assessment
Not doable from Austria because it is remote but scoped to Mexico.
Our assessment is guidance. Confirm arrangements with the employer.
Skills mentioned in this posting
Job description
We are looking for a skilled Software Engineer with strong backend expertise and cloud experience to join our team. The ideal candidate has hands-on experience building scalable applications in Google Cloud Platform and is comfortable working across modern backend and (optionally) frontend technologies.
Key Responsibilities:
•Design, develop, and maintain cloud-native applications on Google Cloud Platform (Cloud Run, Cloud SQL, GCS Buckets, networking, Redis/MemoryStore).
•Build robust backend services using Python, FastAPI, Pydantic, and SQLAlchemy.
•Work with PostgreSQL databases, ensuring performance, reliability, and maintainability.
•Containerize applications using Docker and implement CI/CD pipelines with GitHub Actions.
•Collaborate within a GitHub-based workflow (version control, pull requests, code reviews).
Nice to Have:
•Experience with Celery or background job processing.
•Experience working with Databricks or data engineering / analytics platforms.
•Exposure to modern frontend frameworks and full-stack development.
•Strong DevOps mindset and familiarity with cloud infrastructure best practices.
We value pragmatic engineers who can take ownership, communicate effectively, and deliver reliable, production-ready solutions.
We are looking for a skilled Software Engineer with strong backend expertise and cloud experience to join our team. The ideal candidate has hands-on experience building scalable applications in Google Cloud Platform and is comfortable working across modern backend and (optionally) frontend technologies.
Key Responsibilities:
•Design, develop, and maintain cloud-native applications on Google Cloud Platform (Cloud Run, Cloud SQL, GCS Buckets, networking, Redis/MemoryStore).
•Build robust backend services using Python, FastAPI, Pydantic, and SQLAlchemy.
•Work with PostgreSQL databases, ensuring performance, reliability, and maintainability.
•Containerize applications using Docker and implement CI/CD pipelines with GitHub Actions.
•Collaborate within a GitHub-based workflow (version control, pull requests, code reviews).
Nice to Have:
•Experience with Celery or background job processing.
•Experience working with Databricks or data engineering / analytics platforms.
•Exposure to modern frontend frameworks and full-stack development.
•Strong DevOps mindset and familiarity with cloud infrastructure best practices.
We value pragmatic engineers who can take ownership, communicate effectively, and deliver reliable, production-ready solutions.