Job Details

Remotebase is more than just a job search platform - we're building a remote work community where you can thrive and succeed. We connect top tech talent with top clients and make it easy for you to find the job you want. So why wait? Join us and be a part of our bridge to success!

This is what you’ll be doing:

• Architect data exfiltration pipelines for our fleet of field devices and high frequency research sensors over low-bandwidth communications links
• Implement highly-available data warehousing with intuitive APIs and efficient query infrastructure
• Create monitoring and control software that flag issues with the power grid in real-time and enable operators to dispatch the appropriate resources needed to fix them
• Design intuitive access patterns that enable our data science teams to run analysis on collected data
• Deploy new and existing cloud infrastructure that scales with our growing customer-base
• Collaborate cross-functionally with our hardware team, data scientists, full-stack engineers, and embedded software engineers to super-charge their workflows

To move forward in the application process you should have at least all of these:

• Strong proficiency in one or more backend web frameworks (Django Core)

• 7+ years of professional software engineering experience
• Having experience with React Js would be a huge plus
• Experience building a large-scale cloud-based application
• Ability in constructing scalable ETL pipelines, data warehouses, and APIs

• Comfortable developing on UNIX with an understanding of networking, filesystems, and scripting
• Knowledge of version control, automated deployments, testing pipelines, and container configuration
• Solid experience with SQL. Preferably, Postgres and having exposure of GraphQL would be a plus
• Familiarity with cloud infrastructure solutions such as AWS, GCP, Azure

Benefits

• Fully remote with office optional. You decide when you would like to work from home and when from the office.
• Flexible timings. You decide your work scheduled.
• Market competitive compensation (in $$).
• Insane learning and growth