Software qa engineer • north york on
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About Us: Foundation AI is the only AI Native documents intake automation platform serving the claims and litigation industries.
Founded in 2019 by a team of lawyers and data scientists, Foundation AI processes millions of documents each month for hundreds of US law firms, including many of the largest and most respected plaintiff and injury law firms in the country.
Find out more at www.foundationai.com.
In this role, you'll combine hands-on coding with technical leadership, mentoring other engineers and shaping the direction of complex, highly scalable systems.
You'll work cross-functionally with Product, Design, and DevOps teams to deliver secure, reliable, and performant features while fostering a culture of innovation and engineering excellence.
Location & Engagement: This is a remote independent contractor role with Foundation AI, a US-based company.
Candidates must currently reside in Canada.
Key Responsibilities: Backend Development: Design, develop, and maintain high-performance, scalable backend applications using Python.
Technical Leadership: Mentor engineers, promote continuous learning, and establish engineering best practices.
System Architecture: Define and implement scalable, maintainable, and reliable system architectures.
Performance Optimization: Identify and resolve application and infrastructure bottlenecks to improve performance.
Code Quality & Testing: Champion code reviews, automated testing, code coverage, security standards, and clean coding practices.
Cross-functional Collaboration: Partner with Product, Design, and DevOps teams to deliver features through Agile development cycles.
CI/CD & Automation: Improve CI/CD pipelines, deployment processes, and automation to enable faster and more reliable releases.
Documentation: Maintain technical documentation covering system architecture, services, and key engineering decisions.
Responsibilities may be tailored based on the candidate’s experience and proficiency.
Programming & Development: Strong proficiency in Python and modern frameworks such as Flask, FastAPI, and Django; experience building scalable backend applications and REST APIs.
Cloud & Infrastructure: Hands-on experience with AWS, GCP, or Azure; proficiency in Docker, Kubernetes, and Git.
Databases & Messaging: Strong knowledge of PostgreSQL or relational databases; experience with messaging and asynchronous systems such as RabbitMQ, Kafka, or similar.
Architecture & System Design: Experience designing scalable, distributed, and maintainable systems with a focus on performance, reliability, and security.
Testing & Code Quality: Experience implementing unit and integration testing frameworks, code coverage, automated testing, and quality standards.
DevOps & CI/CD: Experience building and improving CI/CD pipelines, deployment automation, and release management processes.
Observability & Monitoring: Familiarity with monitoring, logging, and observability tools to identify and troubleshoot system issues.
Problem-Solving & Performance Optimization: Strong debugging skills and the ability to identify bottlenecks and optimize application and infrastructure performance.
Collaboration & Leadership: Experience mentoring engineers, conducting code reviews, and working in Agile/Scrum environments.
Additional Skills: Exposure to workflow orchestration tools, asynchronous task processing, and distributed system monitoring is an added advantage.
We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic.
Our hiring decisions are based solely on qualifications, merit, and business needs at the time.
For any feedback or inquiries, contact us at : careers@foundationai.com Learn more about us: www.foundationai.com Powered by JazzHR
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