Remote Senior Software Engineer

Description:

• Design, develop, and implement complex back-end features using open source frameworks.
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
• Write clean, maintainable, and well-documented code adhering to best practices.
• Conduct code reviews, mentor junior engineers, and foster a collaborative development environment.
• Implement unit tests and participate in integration testing to ensure code quality.
• Use Test-Driven-Development (TDD) to assert software capabilities.
• Stay up-to-date on the latest advancements in open source libraries and frameworks.
• Explore and propose potential applications of Machine Learning within our product landscape.
• Collaborate with other team members to integrate and deploy ML models into production if applicable.
• Experiment with new practices and technologies.
• Work in compliance with organizational sensible defaults.

Requirements:

• Several years of experience in software development.
• Proven ability to design, develop, and deploy complex and scalable applications.
• Several years of experience working in an Agile delivery environment.
• Excellent problem-solving and analytical skills.
• Experience with version control systems (Git) and continuous integration/continuous delivery (CI/CD) pipelines (a plus).
• Strong communication, collaboration, and teamwork skills.
• A demonstrated interest in Machine Learning or a basic understanding of core ML concepts.
• Experience with web scraping or data analysis libraries (BeautifulSoup, Pandas).
• Open-source project contributions.
• Strong understanding of software development principles, design patterns, and best practices.
• Experience with open source frameworks.
• Experience with Python, Python frameworks, and libraries (bonus).

Benefits:

• Opportunity to work on a cutting-edge spatial app.
• Chance to contribute to the development and enhancement of innovative software solutions.
• Mentorship opportunities for junior engineers.
• Exposure to Machine Learning applications within the product landscape.
• Collaboration with a talented and diverse team.
• Continuous learning and experimentation with new technologies.
• Compliance with organizational sensible defaults for work processes.