Future Energy Ventures

Technical Lead, Evaluation

Future Energy Ventures

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $165,000 - $210,000 per year

Job Level

Senior

Tech Stack

AirflowCloudGoogle Cloud PlatformKafkaPostGISPostgresPythonSDLCSparkSQLTypeScript

About the role

  • Own the architecture and scalability of our evaluation platform: designing, refining, and growing the engine that identifies viable clean energy opportunities across hundreds of thousands of buildings
  • Raise the technical bar by instilling best practices across SDLC: test coverage, CI/CD, system observability, and multi-phase refactors
  • Mentor and force-multiply: coach engineers through pairing, design reviews, and example-setting
  • Think in systems: evolve not just code but the processes and collaboration patterns that help the engineering team grow sustainably
  • Collaborate cross-functionally with Product, Design, Data, and Marketplace teams to ensure our evaluation stack is fast, scalable, and tightly aligned with business goals
  • Partner with leadership as a thought partner on technology decisions, helping guide Station A’s long-term platform strategy
  • Report to Head of Product and shape technical foundation for Station A

Requirements

  • 8+ years of professional software engineering experience, with significant full-stack and data engineering exposure
  • Proven track record leading complex, system-level projects from design through delivery
  • Strong experience with Python (preferred), TypeScript, and SQL databases (PostgreSQL), including query optimization
  • Comfort with geospatial technologies (e.g. Mapbox/MapLibre, Shapely, PostGIS) and building data pipelines for large-scale spatial analysis
  • Experience with CI/CD, automated testing, and cloud infrastructure (GCP or equivalent)
  • Ability to mentor engineers and foster a high-performing, learning-oriented culture
  • Excellent communication skills—you can align technical tradeoffs with business value and make complex systems understandable to both engineers and non-engineers
  • Bonus points for deep Python knowledge (e.g. Pydantic, Poetry)
  • Bonus points for experience with data engineering tools (Airflow, dbt, Kafka, Spark)
  • Bonus points for exposure to AI/ML applications, especially for geospatial or optimization problems
  • Bonus points for domain experience in clean energy, sustainability, or climate tech