Principal Software Engineer - Data Engineering and Cloud

Position Overview

Company Overview: ThreeV Technologies, Inc. is an early stage venture backed startup developing a Multi-Sensory Asset Intelligence Platform (MSAIP) to revolutionize asset heavy sectors like Power & Utilities, Renewables, and Public Infrastructure. Our goal is to become the B2B Perplexity AI for the physical world. Job Summary: We are looking for an exceptionally strong Principal Software Engineer with deep cloud engineering, architectural, and coding expertise to scale our cutting edge AI SaaS platform. This high impact, hands-on role involves building production-grade systems, mentoring engineers, defining architectural patterns, and enabling massive-scale inferencing for utility infrastructure.

Key Responsibilities

• Architect, design, and maintain high quality code in Python
• Design data pipelines that can consume data from various systems including Kafka, sensors, real-time streams, and data lakes
• Leverage AWS, Azure, container-based applications, and Kubernetes
• Work on diverse data engineering workloads such as incremental, delta, and single source of truth patterns
• Review and approve PRs across services and SDKs with deep context and constructive feedback
• Rapidly prototype systems and break down complex architectures into modular subsystems and micro-services
• Foster a high code quality culture while implementing robust software design and messaging patterns
• Own technical strategy for scalable cloud infrastructure across AWS, Azure, and multi-cloud setups
• Contribute to build vs. buy decisions regarding open source and commercial tools
• Build integrations and abstractions around customers' legacy business systems such as SAP and GIS
• Create and deploy modern data pipelines, APIs, and SDKs
• Drive an automation-first mindset across environments, pipelines, and deployments
• Maintain high quality, reliable data engineering pipelines
• Participate in customer engagements to translate feedback into product improvements
• Build tools and interfaces with UX sensitivity in collaboration with the product design team
• Mentor junior engineers across time zones and collaborate with product, data science, and customer success teams
• Create low latency, high throughput systems

Required Qualifications

• 8+ years of full time software engineering experience, including in staff, lead, or architect level roles
• Deep experience with cloud native architecture and developing applications on cloud platforms, especially AWS (must be hands on) and Azure
• Experience with Databricks, Delta Lake, Apache Kafka, Airflow, and DAGs
• Strong Python skills, with experience in multiple programming languages highly valued
• Expertise with containers, CI/CD pipelines, and modern cloud tooling
• Demonstrated ability to design and ship cloud applications at scale with low latency, auto-scaling, and request routing capabilities
• Familiarity with SDK development, API design (both consuming and building), and schema-less databases
• Proven experience navigating both relational and NoSQL database architectures
• Track record of building high quality, open source or enterprise grade software
• Experience in high-caliber tech companies or open source centric environments (e.g., Databricks, Hugging Face, Replicate)
• Solid understanding of software design patterns, cloud architectures, and messaging patterns
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems or a related field (Master’s degree preferred but not required)

Preferred Qualifications

• Experience with or understanding of AI/ML platforms, computer vision labeling tools, and data pipelines
• Contributions to systems supporting computer vision or remote sensing data via data pipelines
• Exposure to enterprise scale legacy modernization initiatives
• Background in utilities, energy, infrastructure, or other regulated high complexity industries

Benefits & Perks

• Remote-first work environment offering flexibility to work from anywhere
• Regular in-person all-hands team offsite meetings to foster collaboration
• Opportunity to work with cutting-edge AI, cloud, and data technologies
• Travel: Occasional travel for important customer or team meetings (less than 10%)