[Hiring] Principal Engineering Lead @AMIRA LEARNING INC

Role Description

We’re looking for a Principal Engineer Lead to drive the design and development services that power Amira’s AI-based suite of educational products. This is an individual contributor role for an experienced engineer who can take ownership of complex systems and act as a technical lead within a small, high-velocity team. You’ll operate with significant autonomy, move fast, and have outsized impact on the product and the team—owning not just technical output but team delivery, flow, and system-level effectiveness.

You’ll build services and data pipelines that deliver insights to districts, support internal analytics, and drive product experiences, while translating product and business goals into clear technical direction and guiding the team in execution. The work spans backend APIs to distributed data workflows, all within a cloud-native architecture.

This role operates in an AI-first development paradigm. You’ll spend more time on system design, intent specification, and rapid iteration than on line-by-line manual implementation—and you’ll bring the team along on that journey. We’re looking for someone who sees AI-assisted development not as an add-on, but as the primary way modern software gets built, and who can demonstrate what that looks like in practice for a high-performing team.

You’ll wear multiple hats, operate in ambiguity, and make decisions without waiting for permission. The team is small enough that your technical choices directly shape the product experience for millions of students. If you thrive on ownership, speed, and building something that matters—not process and hierarchy—this is the environment for you.

Qualifications

• Strong background in cloud-based architectures, APIs, and modern software development practices, including CI/CD pipelines and containerized environments.
• Deep understanding of AWS services, including but not limited to Lambda, DynamoDB, API Gateway, S3, and CloudFormation.
• Demonstrated experience working in an AI-first development style—using LLM-based tools as a primary means of building, not just an occasional assist.
• Familiarity with educational technologies, learning platforms, or similar domains is a strong plus.
• Hands-on experience with AI coding tools (Claude, Cursor, or similar) in day-to-day development workflows.
• Strong judgment about when AI-generated code is production-ready versus when it needs manual refinement—particularly in data-critical contexts.
• Experience introducing AI-assisted workflows to a team and shifting development culture toward prompt-driven practices.
• Comfort evaluating build-vs-buy decisions for AI capabilities, including managed services (e.g., AWS Bedrock, SageMaker) versus custom implementations.
• Passionate about education and improving learning through technology.
• A self-starter who takes ownership of outcomes—not just tasks—and thrives on shipping high-impact features, learning from user feedback, and proactively identifying the next problem to solve.
• Believes the future of software engineering is about directing systems, not just writing them—and is excited to figure out what that looks like in practice for a small, high-performing team.
• Comfortable with startup pace—tight deadlines, shifting priorities, and building elegant solutions with imperfect information.
• Strong collaboration skills, with the ability to work cross-functionally with other engineers, architects, and stakeholders outside of R&D such as Customer Success and Support.
• Clear and effective communicator who can articulate technical ideas to a diverse audience.

Requirements

• 8+ years of backend development experience, with a strong background in building and maintaining production systems.
• Experience working in a startup or early-stage environment where you owned large surface areas with minimal structure.
• Skilled in Node.js, Python, and/or .NET and cloud-first application design.
• Experience working with relational and NoSQL databases, distributed data pipelines, and large-scale data processing.
• Familiarity with PySpark, Glue, or similar frameworks is a plus.
• Deep knowledge of AWS or similar cloud platforms, and comfort working in serverless environments.
• Track record of identifying high-leverage opportunities to apply AI to real problems—not just internal tooling, but product and data capabilities.
• Experience with AI/ML infrastructure concepts: model serving, RAG architectures, evaluation pipelines, or vector databases.
• Strong communicator who thrives in a collaborative, fully remote team environment.
• Self-directed and able to work autonomously with minimal supervision while maintaining productivity.
• Comfortable acting as a technical lead—driving implementation forward, making architecture decisions without escalation, and unblocking peers—while staying hands-on in a fully remote, async-first environment.
• Mission-aligned and energized by helping students succeed.

Benefits

• Competitive Salary
• Medical, dental, and vision benefits
• 401(k) with company matching
• Flexible time off
• Stock option ownership
• Cutting-edge work
• The opportunity to help children around the world reach their full potential