Software Engineer III — Evaluation

Education Advanced, Inc.•Tyler, TX

3d•$135,000 - $155,000•Remote

About The Position

Education Advanced, Inc. is a rapidly growing K-12 educational technology company that creates operational software to help educators work more efficiently. Evaluation is a teacher and staff observation and evaluation product built as a Ruby on Rails application, hosted on AWS, and equipped with AI-powered features. The Software Engineer III will own significant parts of Evaluation and work across its Rails application, AI-powered features, data integrations, and cloud infrastructure. After a structured onboarding period, the engineer will help shape the product and its architecture. This is a remote role with core availability during US Central Time business hours. The team emphasizes ownership, collaboration, privacy, and responsible use of AI throughout the software development lifecycle.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
At least 5 years of experience building and operating production web applications, including recent hands-on Ruby on Rails experience with Ruby, JavaScript, HTML, and CSS.
Strong relational database skills with MySQL or similar, including schema design, indexing, query performance, and safe migrations in a multi-tenant application.
Hands-on experience writing Rails automated tests, such as RSpec tests, at unit and integration levels.
Hands-on experience deploying, running, and debugging applications in AWS, including containers, CI/CD pipelines, and infrastructure as code.
Solid understanding of secure web development, including topics such as OWASP Top 10, authentication and authorization, input validation, and secrets management.
Daily, hands-on professional use of AI-assisted development tools, such as GitHub Copilot, Claude Code, Cursor, or OpenAI Codex, for multi-step work beyond autocomplete, including building features, refactoring, writing tests, and exploring unfamiliar code.
Ability to direct AI tools with clear specifications and context, break work into small, checkable steps, and use tests and code review to identify incorrect, insecure, or fabricated output.
Sound judgment about AI and data safety, including what code and data must not be shared with AI tools, particularly student and educator data.
Demonstrated ability to own ambiguous work end to end, from design through delivery and support, without needing it broken down.
Ability to work productively in a mature codebase and improve it without stalling delivery.
Excellent written and verbal communication for asynchronous, cross-time-zone teamwork, including explaining technical tradeoffs to non-engineers.
Experience working in an Agile team, including backlog refinement, sprint planning, stand-ups, and retrospectives.
Availability during core US Central Time business hours.
Authorization to work in the United States.

Nice To Haves

Experience building production LLM-powered features, including prompt design, AI output testing and evaluation, cost and latency tradeoffs, and safeguards against unsafe or low-quality results.
Experience with managed AI services from a major cloud provider.
Experience integrating AI tools into a team's development process, such as shared repository instructions, reusable prompts, or custom agents that help tools follow team standards.
Experience introducing or expanding automated testing in an existing codebase.
Frontend modernization experience in a server-rendered Rails application, such as Hotwire, Stimulus, or a component-based approach.
Accessibility remediation experience against WCAG 2.1 AA.
K-12 or public-sector software background, or experience with student information system data and student data privacy.
Experience mentoring engineers earlier in their career.

Responsibilities

Design, build, ship, and support Evaluation features from product discussions through release and production support.
Build and improve AI-powered product features by integrating large language models into user workflows and designing prompts, safeguards, and quality checks.
Build and maintain reliable, high-quality data integrations between Evaluation and other systems.
Lead roadmap-driven technical improvements, including simplifying configuration, reducing technical debt, and modernizing the application while maintaining delivery momentum.
Write clean, high-quality, testable, secure, and maintainable code, and strengthen automated testing practices.
Build and operate services in AWS using CI/CD and infrastructure as code; troubleshoot production issues across the application and infrastructure.
Meet FERPA, state student-privacy, and WCAG accessibility requirements as part of regular delivery.
Use AI-assisted development tools for planning, coding, testing, code review, and documentation; verify their output and take responsibility for shipped code.
Help shape team practices for AI-assisted development, including shared conventions, reusable prompts and instructions, and safe-use guardrails.
Partner with Product Management to refine requirements, participate in backlog refinement and sprint planning, and implement scalable, secure solutions from specifications.
Mentor teammates through code review, pairing, and technical planning, and write documentation that helps others work confidently in the system.
Perform other duties as assigned.