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About the Role
As a Principal, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines that power our customer-facing applications and internal modeling platforms. This role is well-suited for an engineer who enjoys working close to the data and infrastructure layers, has strong architectural judgment, and is excited to operate across AI systems, databases, and distributed backend services. You will take ownership of complex systems, drive major technical migrations, and help shape how intelligence is embedded into industrial energy workflows. You will collaborate closely with product, modeling, and frontend engineers, and you will have significant influence over platform direction, reliability, and long-term scalability. This role sits at the intersection of AI systems, time-series data, and real-world energy infrastructure. Your work will directly impact system reliability, customer trust, and CVector’s ability to scale intelligent energy management across industries. If you enjoy solving deep backend problems, shaping platform foundations, and embedding intelligence into physical systems, this role offers both technical challenge and real-world impact.
Responsibilities
- Work on time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines.
- Take ownership of complex systems.
- Drive major technical migrations.
- Help shape how intelligence is embedded into industrial energy workflows.
- Collaborate closely with product, modeling, and frontend engineers.
- Influence platform direction, reliability, and long-term scalability.
Requirements
- Have a decade or more of experience building and operating production backend systems.
- Have built and maintained multiple generations of distributed systems.
- Be tracking the latest developments in agentic system design, ready to grow a leading edge system of their own.
Skills
- Python
- TypeScript
- Supabase
- PostgreSQL
- MQTT
- TigerData
- AWS
- GitHub-based CI/CD workflows
- AI systems
- Time-series data
- Distributed backend services
- Agentic system design
Location
- New York City
Work Type
- Hybrid
Experience Level
- Principal
- 10+ years of experience
Salary/Compensations
- Competitive compensation package with meaningful equity upside
Benefits
- Robust selection of health, dental, and vision insurance options
- Optional Health Flexible Spending Account (FSA)
- Unlimited PTO with a three week minimum per year, plus additional sick days
- Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack
- Unlimited access to the latest AI agent systems and productivity tools
- Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable
About the Company
- CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant.
- Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other.
- We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day.
- CVector has customers across the United States and operates real-world systems in demanding industrial environments.