Senior Software Engineer, Python

ComboCurve is an industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. We’re hiring a Senior Software Engineer to join our Platform Team, where you’ll help design and build the core services, internal APIs, and data workflows that power ComboCurve’s products.

Responsibilities:

• Build and maintain robust platform services and internal tooling primarily in Python
• Design clean, well-typed interfaces and services that scale with growing data volumes and product needs
• Develop and own internal APIs that other teams depend on, with strong contracts and documentation
• Create high-performance data processing paths inside services to support analytics and ingestion workloads
• Deploy and operate Python services on GCP using serverless and managed platforms
• Improve CI/CD pipelines, testing practices, and developer experience across the platform
• Partner closely with product engineers, data engineers, and leadership to shape platform direction
• Write ADRs, architecture diagrams, and technical documentation that scale decision-making
• Mentor other engineers through code reviews, pairing, and pragmatic standards-setting

Requirements:

• Advanced Python Proficiency: Deep expertise in Python 3.13+, specifically utilizing type annotations, async/await patterns, and modern language features to build robust platform services
• Modern Dependency Management: Hands-on experience with uv for fast package management (or similar), dependency resolution, and virtual environment handling
• Software Architecture Patterns: Strong adherence to SOLID principles and clean architecture; ability to design decoupled, maintainable systems that scale
• API Design & Development: Experience designing internal APIs using REST or gRPC, including defining clear, standard contracts using OpenAPI specifications
• High-Performance Data Processing: Experience using polars, PyArrow, or Apache Iceberg for efficient large-scale data manipulation and processing within application logic
• Data Warehouse Integration: Experience connecting Python applications to modern data platforms like Snowflake or Databricks for data ingestion and retrieval
• Google Cloud Platform: Proven track record deploying and managing services on GCP, specifically using Cloud Run, Cloud Functions, and Google Cloud Storage
• CI/CD: Ability to design and maintain pipelines for automated testing, linting, and cloud deployment; experience with GitHub Actions is strongly preferred
• Automated Testing Strategy: Extensive experience writing comprehensive test suites using pytest, including the use of fixtures, parameterization, and mocking external services
• Technical Leadership: Ability to mentor team members through code reviews, ADRs and architecture diagrams
• AI Agent Frameworks Experience: building or integrating with AI agent frameworks and LLM orchestration tools to enhance platform automation and capabilities
• Shell Scripting: Competency in Bash scripting for automating local developer tasks, build processes, or operational utility scripts
• Version Control Mastery: Deep understanding of Git, including branching strategies, conflict resolution, and maintaining a clean commit history
• Containerization: Proficiency in Docker and Docker Compose for creating consistent local development environments and production-ready images
• Static Analysis Configuration: Familiarity with enforcing code quality standards using ruff for linting and pyright for strict static type checking