Synmax1mo ago

Senior Backend Engineer

Houston · Houston · (houston)Remotesenior

EngineeringBackend EngineeringBackend Engineer

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Quick Summary

Overview

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,

Technical Tools

EngineeringBackend EngineeringBackend 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 Backend 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 robust backend systems, scalable APIs, and data pipelines to power our products. In particular, you are going to rethink our data storage and access strategies.

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 Delivery & API Architecture: Architect highly performant APIs to serve vast quantities of geospatial and tabular data, ensuring rapid and reliable retrieval for downstream visualization and analytics.

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.

Must have skills:

Domain knowledge in the Energy, Oil & Gas sectors.

Experience with geospatial data processing tools and databases.

Familiarity with additional languages, such as Go or C#.

Cloud: Google Cloud Platform (GCP)

Backend & Data: Python (API First), Postgres / PostGIS, Terraform

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 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 first experience TypeScript.

Technical Expertise: In-depth understanding of software engineering best practices, distributed systems, 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.

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