Software Development Team Lead - remote

Job description

The Team Lead will be a core contributor to our software development team. He or she is a hands-on technical manager with responsibilities in the areas of software development, technical leadership, and management of direct reports.

Management Responsibilities:

• Manage a team of developers (2-7) including the full range of management responsibilities (i.e. hiring, terminations, time off, performance improvement plans, career development, onboarding, one-on-ones, and reviews).
• Day-to-day execution of executive vision within his/her areas of responsibility (i.e. upward communication regarding needs, status, and follow-through).
• Manage daily scrums and sprint planning for his/her teams and components.
• Mentoring team members.

Technical Leadership Responsibilities:

• Provide technical leadership and architectural guidance over one or more subject areas.
• Code reviews.

Engineering Responsibilities:

• Enhance and maintain our applications with high-quality code contributing across the full stack.
• Enhance and use our growing DevOps platform within AWS.
• Contribute to the architecture of our product line.
• Ensure code contributions meet our standards for quality and stability through testing.
• Stay up to date on emerging technologies and best practices.
• Clearly communicate ideas and expectations.
• Research and development of new technologies.

Qualifications:

Minimum:

• Demonstrated experience managing people.
• A Bachelor's degree in Computer Science,
• Management Information Systems, or equivalent experience.
• A minimum of 6 years of full-time software development experience.
• Extensive experience with preferably both JavaScript and Python.
• Experience with ReactJS, Redux, or Django.
• Demonstrated experience with design patterns.
• Experience with core AWS services.
• In-depth knowledge of relational databases.
• The ability to speak and write in English fluently and idiomatically.
• The ability to work independently as well as in a team environment.

Nice to have:

• Experience with computer vision
• Experience with OpenCV, Skimage, or Rasterio
• Experience with Docker
• Experience with GIS
• Experience in applied machine learning or artificial intelligence.