Remote Grid Analytics Platform Engineer

Camus Energy Inc.; Campbell (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Comprehensive benefits

Fully remote with Bay Area option

Flexible PTO

Climate impact on company mission

Job summary

Camus Energy Inc. is seeking a Data and Serving Software Engineer to build scalable analytics and orchestration components at the intersection of infrastructure and data quality. You’ll work with forecasting, ML and power-flow experts to design and deploy the data layer and production services.

You’ll ensure reliable, cost-effective systems, balancing storage and fast access while supporting dashboards and grid-control interfaces with real-world utility data.

Qualifications

• Minimum 3 years of software engineering experience with infrastructure focus.
• Experience with machine learning or forecasting models and deployment workflows.
• Experience with Python 3, Kubernetes and cloud platforms like GCP.

Responsibilities

• Shape the data layer with backend storage, services, APIs and platform infra.
• Ingest, canonicalize, analyze and publish analytic results and quality feedback.
• Collaborate with Product, analytics and other infra engineers to maintain a cohesive platform.

Skills

Python

Kubernetes

GCP

ML/Forecasting

Data processing

Collaborative design

Tools

SQL

Job description

Camus Energy Inc. is seeking a Data and Serving Software Engineer to build scalable analytics and orchestration components at the intersection of infrastructure and data quality. You’ll work with forecasting, ML and power-flow experts to design and deploy the data layer and production services.

You’ll ensure reliable, cost-effective systems, balancing storage and fast access while supporting dashboards and grid-control interfaces with real-world utility data.