Note: The job is a remote job and is open to candidates in USA. Amira Learning develops AI-powered literacy assessment, instruction, and tutoring technology. The Principal Engineer designs and owns scalable backend systems and data pipelines, leads architecture and development practices, and collaborates across teams to deliver data-driven products.
Responsibilities
- Design, implement, and own complex backend systems end-to-end, including system architecture, integration points, performance optimization, and scalability across multiple services and data platforms
- Design and operate large-scale data pipeline architectures and backend services using AWS technologies, including Lambda, DynamoDB, Redshift, Athena, Glue, and S3
- Build and maintain backend APIs and distributed data workflows within a cloud-native architecture, with emphasis on modern development practices, including AI-assisted practices
- Work across Node.js, Python, .NET, and SQL platforms to implement services and data pipelines that deliver actionable insights and support data-driven features
- Translate product and business requirements into technical system designs, evaluate tradeoffs, communicate risks and constraints, and guide implementation across cross-functional teams
- Implement AI-assisted development workflows, CI/CD pipelines, automated testing, and system-level productivity improvements
- Design and implement reusable AI-assisted workflows, tools, and shared prompt libraries to improve development efficiency and code quality, and integrate them into CI/CD and code review processes
- Oversee technical output, delivery flow, and overall system-level effectiveness
- Lead technical design and development, participate in design and code reviews, propose architecture improvements, and support ongoing system evolution
- Collaborate with product managers, engineers, data scientists, and customer-facing teams to define scope, prioritize work, and deliver high-impact technical solutions
- Mentor teammates in AI-assisted development practices and refine team processes to reduce bottlenecks
Skills
- Master's degree or foreign equivalent in Computer Science or a closely related field
- Three (3) years of experience in a related occupation designing, developing, testing, and implementing software and machine learning solutions in production environments
Benefits
- Fully remote position; telecommuting is permitted, and the employee may work from anywhere in the United States.
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