Full-Stack Software Engineer - ref. a90826223

About the Company:

Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. We're off to a big start, and we're doing it on our terms and timelines.

About the Position:

The ideal candidate will take ownership of projects from ideation through to deployment, contributing to the entire lifecycle of our solutions.

Key Responsibilities:

• Own development of customer-facing projects, including planning, design, implementation, testing, and deployment.
• Develop and maintain backend services using Python (FastAPI, Flask, or similar frameworks) on top of SQL-like databases.
• Deploy backend services on AWS using Lambda functions.
• Design and develop responsive and intuitive frontends using React, JavaScript, CSS/HTML.
• Collaborate with cross-functional teams, including the implementation teams, to deliver comprehensive solutions for our customers.
• Ensure the scalability, reliability, and performance of our applications.
• Participate in code reviews, testing, and deployment processes.
• Create and maintain comprehensive documentation for your code and APIs.
• Provide technical support and training to clients and internal teams.

• 2-5 years of professional experience in software engineering.
• Strong proficiency in Python and experience with backend frameworks such as FastAPI or Flask.
• Experience with AWS services, particularly Lambda functions.
• Experience with SQL-like databases
• Proficiency in frontend development with React, JavaScript, CSS/HTML.
• Solid understanding of software development principles, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD) practices.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with clients and team members.
• Ability to manage multiple projects and prioritize tasks in a fast-paced environment.

Preferred Skills:

• Experience with Docker and Kubernetes.
• Experience with data visualization tools and libraries.
• Understanding of machine learning concepts and AI applications.
• Knowledge of security best practices in software development.

• Base salary + bonus & stock options eligibility
• Health insurance, dental, vision, PTO days
• Flexible working hours and remote work options
• Opportunities for professional growth and development
• A collaborative and innovative work environment