Senior Full-Stack Engineer

About Us We are a growing company that distills insights from satellite imagery and various other geospatial data sources into actionable intelligence for energy companies, financial market actors, and government agencies. We are looking for an experienced engineer to join our technical team and help shape our product trajectory. The Role We are looking for a Senior Full-Stack Engineer who embraces AI agents to supercharge their workflows. Partnering with other developers on large-scale projects, you will leverage your deep technical expertise to rapidly prototype and develop solutions across our backend and frontend systems to power our products. Key Responsibilities System Architecture: Design scalable near-real-time data streams, integrating data from multiple sources into analytics pipelines and relational databases. Data Management and Access Optimization: Improve robustness and performance of our SQL DB setup to facilitate high performance inserts of our data streams and API reads for our customers Data Visualization: Ensure vast quantities of geospatial and tabular data are visually explorable in a reproducible, performant format. Accelerate Development: Utilize AI coding agents to assist in the Software Development Life Cycle (SDLC) and help establish best practices for agentic workflows. Cross-Functional Support: Work alongside software engineers and data scientists, providing programming and infrastructure support for MLOps and data science initiatives. Technical Direction: Help shape our engineering direction by implementing robust data management practices and staying current on emerging technologies in data processing. Ensure Code Quality: Refactor, profile, and optimize codebases. Implement rigorous integration testing, debugging, and deployment automation for cloud microservices. The Tech Stack Cloud: Google Cloud Platform (GCP) Backend & Data: Python (API First), Postgres Frontend & Middle-Tier: TypeScript (React) How To Apply Please submit your resume and relevant project portfolios or GitHub repositories. We are particularly interested in examples where you have built scalable APIs, integrated diverse data sources, or developed internal tooling. Note: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Minimum Qualifications Work Authorization: Must be a US Citizen or US Permanent Resident. Location/Timezone: Must be located and working within Central Time (CT) or Eastern Time (ET) zones (no West Coast/Pacific Time). Education: BS degree in a STEM field. Experience: 4+ years in a full-stack software engineering role, with a strong focus on data engineering. Cloud Experience: 2+ years of hands-on experience in modern Cloud Systems (GCP, AWS, or Azure). Core Languages: Production-grade proficiency in Python and TypeScript. Technical Expertise: In-depth understanding of software engineering best practices, performant frontend interfaces, relational database design/optimization, and scalable API design. AI Workflows: Experience with (or a strong, demonstrated interest in) adapting the SDLC for AI-assisted development. Communication: Strong communication and coordination skills tailored for a distributed team environment spanning US and UK. Preferred Qualifications Domain knowledge in the Energy, Oil & Gas sectors. Experience with geospatial data processing tools and databases. Familiarity with additional languages, such as Go, Rust or C#. What we offer Compensation: Competitive salary and comprehensive benefits (medical, dental, vision). Growth: Opportunities for career advancement as technical team member. Flexibility: A fully remote role within a collaborative environment, plus optional access to our Houston office. Impact: Direct involvement in products utilized by major players in the energy sector and government. Continuous Learning: Mentorship from technical leaders

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