Senior Software Engineer, Python

Job not on LinkedIn

7 hours ago

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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ComboCurve

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Energy • SaaS • B2B

ComboCurve is a SaaS platform that automates and scales oil and gas reserves forecasting, deal evaluation, and production economics for energy companies and advisors. It enables bulk data import, automated forecasting using dozens of configurable variables, statistical diagnostics, type-curve generation, and integrated economic analysis to speed up A&D, asset management, and reserve workflows. The product targets petroleum engineers, upstream operators, midstream firms, banks/advisors, and other energy professionals who need accurate, high-volume well forecasting and economic modeling.

51 - 200 employees

Founded 2017

⚡ Energy

☁️ SaaS

🤝 B2B

📋 Description

• Build and maintain robust platform services and internal tooling primarily in Python. • Design clean, well-typed interfaces and services that scale. • Develop and own internal APIs that other teams depend on. • Create high-performance data processing paths inside services. • Deploy and operate Python services on GCP using serverless and managed platforms. • Improve CI/CD pipelines, testing practices, and developer experience. • Partner closely with product engineers, data engineers, and leadership to shape platform direction. • Write ADRs, architecture diagrams, and technical documentation. • Mentor other engineers through code reviews.

🎯 Requirements

• Advanced Python Proficiency: Deep expertise in Python 3.13+ • Modern Dependency Management: Hands-on experience with uv for fast package management • Software Architecture Patterns: Strong adherence to SOLID principles • API Design & Development: Experience designing internal APIs using REST or gRPC • High-Performance Data Processing: Experience using polars, PyArrow, or Apache Iceberg • Data Warehouse Integration: Experience connecting Python applications to modern data platforms • Google Cloud Platform: Proven track record deploying and managing services on GCP • CI/CD: Ability to design and maintain pipelines for automated testing • Automated Testing Strategy: Extensive experience writing comprehensive test suites using pytest • Technical Leadership: Ability to mentor team members • AI Agent Frameworks Experience: building or integrating with AI agent frameworks • Shell Scripting: Competency in Bash scripting • Version Control Mastery: Deep understanding of Git • Containerization: Proficiency in Docker • Static Analysis Configuration: Familiarity with enforcing code quality standards

🏖️ Benefits

• Exceptional user support with a world-class customer experience team • No specific benefits mentioned