Lingaro

Backend developer at Lingaro (Mexico)

Lingaro· Mexico·

Role details

Work type
Remote
Employment
Full-Time

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). •Optionally contribute to frontend development using TypeScript, Next.js, TailwindCSS, and Node.js.

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.

Why work at Lingaro

  • Culture: Great Place to Work®- certified for multiple consecutive years; Fortune 100 Best Workplaces in Europe; Best Workplaces in Asia 2024.
  • Work environment: Remote and hybrid roles available (e.g., many positions listed as “Remote — Full-time Poland”).
  • Growth & learning: Strong focus on learning technology and adoption – internal training programs and career development.
  • Global team: Collaboration across 6 countries and 25 nationalities; exposure to large enterprise clients.
  • Engineering culture: Heavy emphasis on data engineering, AI/ML, cloud (GCP, Snowflake), and modern tech stacks.
  • Employee rating: 3.8/5.0 (249 reviews on LinkedIn) with Culture rated 4.0, Work-Life 3.9, Career 3.7.

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