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# Senior/Staff Backend Software Engineer

- **Company:** Gridcare Inc.
- **Location:** Redwood City, CA, United States
- **Experience:** Expert
- **Salary:** $184,000 - $284,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Cloud Engineering, Software Quality, Cyber Security, Databases, Continuous Delivery, Continuous Integration, Data Centers, Cursor, DevOps, Programming Tools, Distributed Systems, Fault Tolerance, Monitoring of Systems, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), Message Queuing Telemetry Transport (MQTT), Performance Tuning, Software Architecture, Software Engineering, Data Streaming, Systems Integration, Computer Network Operations, GitHub Copilot, Concurrency, Backend, Event Driven Architecture, Containerization, Kubernetes, Deployment Automation, Apache Kafka, Claude, Api Design, Docker
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-staff-backend-software-engineer-redwood-city-ca--c3aa45d8-8b96-4c8c-91ff-ba157807ea00

## About the Role

Software Engineering, Network Operations Center, Artificial Intelligence (AI), Physics, Technical Leadership, Sustainability, Energy Efficiency, Category Development, Compensation and Benefits, Risk, Required

 * 8+ years of experience architecting, implementing, and operating cloud native, real-time backend systems that are highly available, reliable, secure, and scalable.
 * Strong software architecture, distributed systems, concurrency, and security fundamentals.
 * Proficiency in at least one backend language, e.g., Python.
 * Strong experience with REST/gRPC API design and event-driven architectures.
 * Experience with time series data, real time streaming, and databases across relational and non relational systems (e.g., Kafka, MQTT, TimescaleDB, or similar).
 * Hands-on experience with containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, deployment automation, and production operations.
 * Experience with AI assisted development tools such as Cursor, CodeRabbit, Claude, GitHub Copilot, or similar.
 * Strong collaboration and communication skills, comfortable prioritizing and working cross functionally in a startup environment with limited guidance and evolving requirements.

Preferred

 * Someone who's passionate about making a real difference in the world.
 * An entrepreneurial self starter with a focus on scalable, secure, and maintainable solutions.
 * Background in energy, climate tech, power systems, or other complex infrastructure domains, including grid operations.
 * Experience with industrial telemetry systems such as SCADA or Ignition.

## Description

We're looking for a product engineer with infrastructure instincts and a platform mindset. You'll build a cloud-based system that manages and operates data centers for some of the largest AI compute providers in the world, the kind of infrastructure that powers the leading cloud and chip companies driving the AI boom. You'll be the one owning the architecture, the decisions, and how it runs in production. Reliability isn't optional. When it's live, it has to stay live, stay accurate, and update safely without ever putting a customer's infrastructure at risk., * Build a cloud native backend platform that is reliable, real time, scalable, and secure, including:

 + Time series data storage and retrieval
 + Real time streaming and event processing
 + Integrations with simulation, forecasting, optimization, and market modules
 * Design for continuous deployment and safe updates to live, mission critical infrastructure, so systems keep running without disruption or unexpected side effects.
 * Lead code quality and engineering excellence: automated testing, continuous deployment, CI/CD pipeline development, performance tuning, and system observability.
 * Own architecture decisions with a focus on scalability, fault tolerance, cybersecurity, and suitability for on premises control center deployments.
 * Collaborate across disciplines, working alongside data scientists, power systems engineers, and DevOps teams to bring AI driven solutions from prototype to production in mission critical environments.
 * Own services end to end, from design through deployment and ongoing operation.