Founding Backend Python Engineer

Location: Remote (Canada, USA)

About Binoloop:

Binoloop is dedicated to revolutionizing decision-making through the development of autonomous AI agents. Our AI co-pilot, Tally, streamlines procurement evaluations by ensuring transparency and cutting evaluation times by 75%. We believe in the power of AI to transform businesses and drive better outcomes. Binoloop aims to become the trusted standard for responsible AI integration, ushering in a new era of streamlined and unbiased decision-making.

The salary mentioned is in CAD.

Key responsibilities

• Develop, test, and maintain scalable Python-based software solutions using modern frameworks and libraries.
• Optimize applications by integrating suitable libraries, APIs, and third-party services.
• Design, implement, and maintain backend services, APIs, and database architectures for efficiency, scalability, and security.
• Implement and enforce best practices for code quality, performance, and maintainability.
• Collaborate with frontend, DevOps, and cross-functional teams to ensure seamless integration, deployment, and delivery of services.
• Write and maintain unit, integration, and end-to-end tests, ensuring system reliability and robustness.
• Conduct code reviews and provide mentorship to junior developers, fostering a culture of continuous improvement.
• Maintain and improve CI/CD pipelines to streamline development, testing, and deployment processes.
• Monitor and optimize system performance by analyzing metrics, logs, and usage patterns.
• Maintain comprehensive technical documentation for backend services, APIs, and infrastructure.
• Stay up-to-date with industry trends and emerging technologies, advocating for their adoption when beneficial.
• Ensure compliance with security standards and best practices, including data protection and privacy regulations.
• Participate in architecture design discussions, contributing to the overall technical direction of the project.
• Troubleshoot and resolve complex technical issues in production environments, ensuring high availability and reliability.
• Collaborate with stakeholders to translate business requirements into technical solutions and provide accurate project estimations.
  

Qualifications

• 5+ years of professional experience in Python backend development.
• Proven experience in designing and building large-scale, distributed backend systems for SaaS platform development.
• High level of proficiency with Python, an understanding of API design, integration platforms (e.g., REST, SOAP, gRPC), authentication mechanisms, and familiarity with other programming languages and security protocols
• Computer science concepts including programming patterns, data structure and algorithms
• Terraform, Github Actions, Bash scripting, FastAPI
• Implementing software engineering best practice, such as continuous integration/continuous delivery, version control, documentation, and automated testing
• Experience with database design and management, including SQL and NoSQL databases.
• Hands-on experience with cloud platforms (preferably Google Cloud Platform), including setting up and managing infrastructure.
• Solid understanding of security principles, including encryption, authentication, and authorization.
• Experience with containerization (Docker) and orchestration (Kubernetes) is a plus.

Personal Attributes

• Proactive and eager to learn, with a strong passion for staying current with emerging technologies.
• Exceptional problem-solving abilities and a practical approach to implementation.
• Strong communication and collaboration skills, with the ability to work effectively in diverse teams.
• Meticulous attention to detail, ensuring high-quality outcomes in all tasks.
• Highly organized and analytical, capable of managing complex projects and making data-driven decisions.

Why Join Binoloop?

• Be part of a visionary company at the forefront of AI and decision-making transformation.
• Work in a startup environment as one of the members of the founding team.
• Opportunity to work with cutting-edge AI and contribute to impactful complex projects.
• Play with LLMs, both on cloud and on-prem.