Senior Python Developer (Platform team)

About you You are a proactive engineer who takes full ownership of your work and thrives in a fast-paced environment . You enjoy taking ambiguous problems, scoping them clearly, and proposing solid technical directions . You value clean architecture, type safety, and asynchronous collaboration . As a strong communicator, you act as an internal resource to help unblock other teams and provide direct, actionable, and kind feedback during code and design reviews . About the project We are looking for a Senior Python Developer to join the Platform Team working on a cloud-based SaaS product in the oil and energy domain . You will build reliable infrastructure solutions, work with heavy data processing toolchains, and contribute to internal core systems where structural scaling supports better technical decisions . Your area of responsibility Designing and implementing decoupled, maintainable services using SOLID principles and clean architecture in practice . Building clean REST or gRPC services with OpenAPI contracts, while managing versioning to avoid breaking downstream consumers . Developing application logic capable of large-scale data manipulation and connecting Python services to data warehouses like Snowflake or Databricks for ingestion and retrieval . Deploying services on Google Cloud Platform (Cloud Run, Cloud Functions, GCS) and keeping GitHub Actions pipelines fast, reliable, and maintainable . Writing Architecture Decision Records (ADRs) and design diagrams, representing technical decisions to non-platform audiences, and preparing to coordinate delivery expectations across teams . Skills and requirements 5+ years of experience in backend software development with a deep focus on core engineering and architecture. Production-grade Python 3.13+ experience, utilizing type annotations and async/await as the default with no shortcuts on type safety . Hands-on experience with Flask and/or FastAPI for building production services, a deep understanding of the tradeoffs between them, and comfort configuring Gunicorn for WSGI deployment . Hands-on experience with Polars, PyArrow, or Apache Iceberg for heavy data processing within applications . Proven experience deploying on GCP (Cloud Run, Cloud Functions, GCS) along with Docker and Docker Compose for local and lean production containerization . Strict enforcement of standards via ruff and pyright static analysis, alongside comprehensive pytest suites using fixtures, parameterization, and mocked external services . Experience with uv (or similar) for fast package resolution/virtual environments, and Bash scripting for build automation and local dev tooling . Ability to translate business constraints into engineering tradeoffs and explain technical decisions clearly to both platform and non-platform audiences . Will be a plus Experience building or integrating with LLM orchestration tools and AI Agent Frameworks to enhance platform automation . We offer A real opportunity to influence the product, architecture, and technical decisions; Direct communication with C-level management, without unnecessary bureaucracy; Remote-first environment; Long-term and enjoyable cooperation; 20 paid working days of vacation per year; 5 paid undocumented sick days; Official public holidays as days off; Personal legal support; English classes; Team-building events and a friendly, supportive atmosphere.