Sep 11

Sr. Cloud Software Engineer

Be a key contributor to ArcGIS Site Scan, a world-class SaaS software product that is revolutionizing drone data collection and processing, delivering state-of-the-art mapping and analytics to thousands of customers worldwide. Our small agile Berkeley R&D team builds a multi-tier, scalable, and highly automated workflow product that uses drones to capture imagery that is processed through our AWS backend utilizing the most advanced ML, photogrammetry, and analytics software in the industry. Our software engineers provide a strong technical voice in the product development process and use the best tools available to design, develop, and deliver our high-quality automated product. As a senior software engineer, you will work with our cross-functional team of software engineers, product engineers, product managers, and release engineers. You will be actively involved in enhancing the backend capabilities of ArcGIS Site Scan from feature inception to delivery, integrating bleeding edge Esri and 3rd party technologies. If you are passionate about building a highly automated AWS distributed processing backend for the best drone imagery product in the world, join us!


Responsibilities:



  • Design, build, and test REST APIs to power Site Scan for ArcGIS web and mobile apps

  • Deploy, maintain, and secure AWS infrastructure

  • Investigate and analyze bugs and errors

  • Develop data processing pipelines for drone imagery

  • Read and respond to pull requests; participate in code reviews


Requirements:



  • 5+ years of experience with AWS or cloud computing platforms

  • 5+ years of experience with Scala or another strongly-typed functional programming language

  • Experience with infrastructure-as-code, particularly Terraform

  • Experience with PostgreSQL or similar database systems

  • Experience with Python and/or Rust

  • Deep understanding of Linux, HTTP, networking, and security

  • Strong problem-solving and debugging skills

  • Bachelor's in computer science, engineering, mathematics, GIS, or related field


Recommended Qualifications:



  • Experience with drones

  • Experience with geospatial data formats and coordinate reference systems



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