Software Engineer, Fullstack
Remote / Online - Candidates ideally in
Myrtle Point, Coos County, Oregon, 97458, USA
Listed on 2025-12-01
Myrtle Point, Coos County, Oregon, 97458, USA
Listing for:
DroneDeploy
Remote/Work from Home
position Listed on 2025-12-01
Job specializations:
-
Software Development
Software Engineer, Cloud Engineer - Software, Full Stack Developer
Job Description & How to Apply Below
Location: Myrtle Point
Employer Industry: Robotics and AI Solutions
Why consider this job opportunity- 100% remote work with flexible scheduling options
- Comprehensive healthcare coverage to support your well-being
- Paid family leave to support you during important life moments
- Opportunities for career growth and skill development through continuous learning
- Employee referral bonus program to reward you for bringing great talent to the team
- Culture of innovation and collaboration, recognized as a Best Place to Work
- Contribute to the design and implementation of new product features, integrating drone and robotics hardware
- Develop and maintain scalable and efficient REST APIs and backend services using Python and Go
- Create user-friendly, high-performance user interfaces with Angular (v19+) and Type Script
- Investigate and resolve production issues to ensure system reliability and a positive user experience
- Collaborate with product managers, QA engineers, and operations teams for seamless integration and high-quality solutions
- Minimum of 3 years professional experience in full stack software development, delivering production-grade software
- Strong proficiency in Type Script and experience with Python; knowledge of Java/Kotlin and Go is a plus
- Solid experience with Angular (v19+) or similar modern JavaScript frameworks
- Experience with RESTful API design and modern database setups, such as Postgre
SQL and MongoDB - Commitment to software quality with experience in automated testing strategies using tools like Jest or Pytest
- Experience in Android app development
- Familiarity with microservices and event-driven systems
- Knowledge of Docker, Kubernetes, and Google Cloud Platform
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