ThreeV Technologies, Inc.

Principal Software Engineer – Data Engineering and Cloud

ThreeV Technologies, Inc.(2 months ago)

RemoteFull TimeSenior$150,000 - $300,000ThreeV Platform
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About this role

The Principal Software Engineer – Data Engineering and Cloud at ThreeV Technologies will lead the architectural design and development of a cutting-edge AI SaaS platform aimed at improving operations in asset-heavy sectors. This role involves coding in Python, designing scalable data pipelines, and utilizing cloud technologies such as AWS and Azure, while mentoring engineers and overseeing high-quality code practices. The engineer will contribute to the technical strategy for multi-cloud infrastructure and engage with customers to enhance the platform's capabilities through feedback.

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Required Skills

  • Cloud Engineering
  • Architectural Design
  • Coding Expertise
  • High Quality Code
  • Data Pipelines
  • AWS
  • Azure
  • Kubernetes
  • Data Engineering Workloads
  • PR Review

+24 more

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical or scientific discipline
  • Master’s degree preferred but not required
  • 8+ years of full time software engineering experience
  • Deep experience with cloud native architecture and developing applications on AWS and Azure
  • Proficiency in Python
  • Experience with Databricks, Delta Lake, Apache Kafka, Airflow, and DAGs
  • Experience with containers, CI/CD pipelines, and modern cloud tooling
ThreeV Technologies, Inc.

About ThreeV Technologies, Inc.

threev.ai

ThreeV Technologies, Inc. is at the forefront of innovation in asset management with its Multi-Sensory Asset Intelligence Platform. This advanced solution employs cutting-edge computer vision and AI technology to enhance inspection processes for industries such as Power and Utilities, Oil and Gas, and other asset-heavy sectors. By automating asset inspections and providing actionable AI insights, ThreeV empowers organizations to improve the speed and accuracy of their decision-making while significantly reducing operational costs and risk.

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