Job description

About Us: Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district’s Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student’s skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district’s high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. Job Duties: 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. This is a fully remote position; telecommuting is permitted, and the employee may work from anywhere in the United States. Job Requirements: Master’s degree or foreign equivalent in Computer Science or a closely related field; and Three (3) years of experience in a related occupation designing, developing, testing, and implementing software and machine learning solutions in production environments. This is a fully remote position; telecommuting is permitted, and the employee may work from anywhere in the United States. No relocation required.

Requirements

Must-haves

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.
This is a fully remote position; telecommuting is permitted, and the employee may work from anywhere in the United States.
Master’s degree or foreign equivalent in Computer Science or a closely related field; and
Three (3) years of experience in a related occupation designing, developing, testing, and implementing software and machine learning solutions in production environments.
This is a fully remote position; telecommuting is permitted, and the employee may work from anywhere in the United States. No relocation required.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsnode.jspythonsqlci/cdmachine learning

Platform: greenhouse
Effort: quick