Software Engineer - Full Stack Developer

Job Location

San Francisco Bay Area, CA, USA

Job Level

Mid/Senior

Type of Job

Full Time

About the job

JOB RESPONSIBILITIES 

  • Work on our software platform

  • Work with REST APIs and integrating them with our software platform

  • Develop front end capabilities such as dashboards, visualizations, features

  • Work on building best performance UI features and linking with backend

  • Integrate all the front end features with a backend pipeline 

  • Integrate our AI models with the platform pipeline 

  • Work on bug fixing and improving application performance 

  • Unit-test code for robustness, including edge cases, usability, and general reliability

To apply, send a cover letter and resume to info@buzzsolutions.co.

Requirements

  • Proficiency with Javascript, Node.js, ReactJS, React-Native, Vue.js, Vuetify, Firebase, REST APIs

  • BS in Computer Science and Software Engineering with 4+ years of  industry experience or MS/PhD in Computer Science and Software  Engineering with 2+ years of industry experience

  • Proficient coding in either Python or Javascript

  • Experience with Google Cloud Platform and AWS and deploying and integrating Machine Learning models as APIs

  • Strong hands on experience with docker. (1 year)

  • Experience with third-party libraries and APIs

  • Very strong analytical, problem solving and communication skills

  • Experience with Agile Methodologies and Pair Programming

  • Strong initiative and enthusiasm

About us

Buzz Solutions safeguards the world's energy infrastructure by providing AI-based actionable insights and predictive analytics for power line and energy infrastructure inspections.

We are disrupting the power utility industry by providing automation for inspection and maintenance operations for infrastructure, using our AI-powered software platform, and are a venture backed and funded startup looking for great talent to share our vision of energy industry transformation.

Our solutions and technology allows the utilities to reduce current inspection operation costs by at least 50%, prevent power outages, prevent wildfires and manage their assets in an effective way.

You will be working with a talented, passionate and hardworking team of engineers and product managers to build end-to-end Machine Learning products and pipelines that will be deployed for our customers in order to prevent issues such as power outages, forced shutdowns, impact of climate change on the aging grid infrastructure and preventing wildfires.

Address

San Francisco Bay Area, CA, USA

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