CVector

Backend Engineer

• Evolve CVector’s core backend platform
• Work on time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines
• Operate across AI systems, databases, and distributed backend services
• Take ownership of complex systems and drive major technical migrations
• Shape platform direction, reliability, and long-term scalability
• Collaborate with product, modeling, and frontend engineers
• Embed intelligence into industrial energy workflows
• Travel to customer sites 10–15% of the time per month

Explore Principal Software Engineer – Backend, AI Infrastructure at CVector. Review requirements and application details.

Principal Software Engineer – Backend, AI Infrastructure

Full-stack Engineer

• Own the architecture and long-term evolution of web applications, application services, real-time data flows, and their contracts
• Lead design of a real-time data visualization and AI insight platform for industrial operators and executives
• Drive major technical initiatives and migrations from proposal through delivery
• Manage sequencing, risk, and organizational alignment for technical initiatives
• Set engineering quality standards for testing, observability, performance, and security
• Build tooling and practices that maintain engineering quality as the team grows
• Translate ambiguous customer and product needs into technical strategy
• Mentor senior and junior engineers and lead design reviews
• Participate in an on-call rotation and lead the hardest production incidents
• Convert production incidents into durable platform improvements
• Travel to customer sites to understand operator workflows and improve the platform
• Collaborate with product, design, modeling, and backend engineering teams
• Influence product direction, platform architecture, engineering practices, and team growth

Explore Principal Software Engineer – Full Stack at CVector. Review requirements and application details.

Principal Software Engineer – Full Stack

• Map customer domains and operational workflows into effective prompts and AI system interfaces
• Design, execute, and iterate on evaluations for AI outputs
• Incorporate customer feedback and reinforcement signals to improve system behavior
• Refine context selection, retrieval, and trace collection
• Fine-tune smaller models and support training and deployment of time-series-focused models
• Evaluate and integrate new AI platforms and models
• Lead migrations and upgrades of time-series schemas and storage engines
• Upgrade and maintain PostgreSQL and related database infrastructure
• Develop and maintain industrial and third-party data connectors
• Improve MQTT-based data ingestion pipelines
• Transition PostgREST to a GraphQL-based framework and evolve API architecture
• Optimize high-volume time-series data stores and analytical workloads
• Improve and consolidate machine learning systems and distributed training workflows
• Implement message brokers and orchestration mechanisms for learning pipelines
• Strengthen cloud uptime, observability, deployment reliability, and developer tooling
• Port backend services from Bun to Node.js where appropriate
• Track and improve DORA metrics
• Participate in an on-call rotation

Explore Senior Software Engineer – Backend, AI Infra at CVector. Review requirements and application details.

Senior Software Engineer – Backend, AI Infra

• Lead development of a real-time data visualization platform with AI-driven insights
• Design, implement, and deploy features and bug fixes across the full software stack, from front-end UI to back-end services and data stores
• Collaborate with product and design to translate user needs into well-scoped, high-quality technical solutions
• Ensure system reliability and maintainability through automated unit, integration, and end-to-end testing
• Participate in an on-call rotation and improve operational tooling and observability
• Contribute to technical decision-making, architecture discussions, and code reviews
• Mentor junior engineers and raise the overall quality and velocity of the team
• Occasionally travel to customer sites to understand real-world usage and constraints

Explore Senior Software Engineer – Full Stack at CVector. Review requirements and application details.

Open roles

Principal Software Engineer – Backend, AI Infrastructure

Principal Software Engineer – Full Stack

Senior Software Engineer – Backend, AI Infra

Senior Software Engineer – Full Stack