Principal Engineer

Amira Learning

. Design, implement, and own complex backend systems end-to-end, including architecture, integrations, performance optimization, and scalability .

Posted 11/1/2026full-timeRemote • Texas • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing complex backend systems and large-scale data pipelines using AWS technologies, Node.js, Python, .NET, and SQL. Proficient in AI-assisted development workflows, CI/CD pipelines, and mentoring teams in technical best practices.

Highest-signal resume keywords

AWS TechnologiesNode.js DevelopmentPython DevelopmentBackend System DesignAI-Assisted Development Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend API DevelopmentDistributed Data WorkflowsLarge-Scale Data Pipeline ArchitecturePerformance OptimizationScalability

Soft Skills

MentoringCollaborationTechnical Leadership

Tools & Technologies

AWS LambdaAWS DynamoDBAWS RedshiftAWS AthenaAWS GlueAWS S3

Certifications & Qualifications

Master’s Degree in Computer Science

Industry Keywords

Cloud-Native ArchitectureCI/CD PipelinesAutomated TestingMachine Learning Solutions

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudDynamoDBJavaScriptNode.jsPythonSQL.NET

About the role

Key responsibilities & impact

Design, implement, and own complex backend systems end-to-end, including architecture, integrations, performance optimization, and scalability
Design and operate large-scale data pipeline architectures and backend services using AWS technologies
Build and maintain backend APIs and distributed data workflows within a cloud-native architecture
Implement services and data pipelines using Node.js, Python, .NET, and SQL
Translate product and business requirements into technical system designs and guide implementation across cross-functional teams
Implement AI-assisted development workflows, CI/CD pipelines, automated testing, and system-level productivity improvements
Design reusable AI-assisted workflows, tools, and shared prompt libraries, integrating them into CI/CD and code review processes
Oversee technical output, delivery flow, and system-level effectiveness
Lead technical design and development, participate in design and code reviews, and propose architecture improvements
Collaborate with product managers, engineers, data scientists, and customer-facing teams to define scope, prioritize work, and deliver technical solutions
Mentor teammates in AI-assisted development practices and refine team processes

Requirements

What you’ll need

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
Experience with AWS technologies, including Lambda, DynamoDB, Redshift, Athena, Glue, and S3
Experience across Node.js, Python, .NET, and SQL platforms
Experience designing backend systems, APIs, distributed data workflows, and large-scale data pipelines
Knowledge of AI-assisted development workflows, CI/CD pipelines, automated testing, and cloud-native architecture

Benefits

Comp & perks

Fully remote position; telecommuting permitted
Employee may work from anywhere in the United States
No relocation required