Software Engineer III – Evaluation

This is a fully remote position, open to applicants in Texas.

📋 Description

• Design, develop, deploy, and maintain features for the Evaluation Ruby on Rails application, from initial product discussions to production support.

• Enhance and innovate AI-driven features by embedding LLMs into user workflows while crafting prompts, safety measures, and quality assurance checks.

• Establish and sustain dependable, high-quality data integrations between Evaluation and other platforms.

• Spearhead roadmap enhancements that include simplifying configurations, minimizing technical debt, and modernizing applications.

• Produce clean, high-quality, testable, secure, and maintainable code.

• Develop and manage AWS infrastructure utilizing CI/CD and infrastructure as code methodologies.

• Diagnose and resolve production issues comprehensively across both the application and infrastructure.

• Adhere to FERPA, state student-privacy regulations, and WCAG accessibility standards.

• Utilize and contribute to AI-assisted development practices, involving shared conventions, reusable prompts, instructions, and safety protocols.

• Collaborate with Product Management on requirements, backlog refinement, sprint planning, and scalable secure implementations.

• Guide teammates through code reviews, pairing, and technical planning sessions.

• Create clear and comprehensive system documentation.

• Engage in feature branches, release-branch workflows, frequent deployments, and feature-flagged rollouts.

⛳️ Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

• Over 5 years of experience in building and maintaining production web applications.

• Recent, hands-on experience with Ruby on Rails, including proficiency in Ruby, JavaScript, HTML, and CSS.

• Strong relational database expertise with MySQL or equivalent, encompassing schema design, indexing, query optimization, and safe migrations in a multi-tenant environment.

• Practical experience in writing automated Rails tests at both unit and integration levels, such as RSpec.

• Experience in deploying, operating, and troubleshooting applications within AWS, including containers, CI/CD pipelines, and infrastructure as code.

• A solid understanding of secure web development, including OWASP Top 10, authentication and authorization protocols, input validation, and secrets management.

• Daily professional use of AI-assisted development tools beyond simple autocomplete for multi-step development tasks.

• Proficiency in directing AI tools with clear specifications, context, manageable steps, testing, and code review processes.

• Sound judgment regarding AI and data safety, especially concerning student and educator information.

• Proven ability to manage ambiguous tasks from start to finish.

• Comfortable working with a mature codebase while enhancing it without impeding delivery timelines.

• Exceptional written and verbal communication skills for asynchronous, cross-time-zone collaboration.

• Experience in an Agile team environment, including backlog refinement, sprint planning, stand-ups, and retrospectives.

• Core availability during US Central Time business hours.

• Authorized to work in the United States.

• Preferred: experience with production LLM-powered features, managed AI services, AI development-process tools, test expansion, Rails frontend modernization, WCAG 2.1 AA remediation, K-12/public-sector or SIS data, and mentoring.

🏝️ Benefits

• Structured onboarding process.

• Flexibility for remote work.

• A supportive, inclusive, and innovation-driven work culture.

• Core availability during US Central Time business hours.

• Small teams that encourage real ownership.

• Regular deployments and feature flags for controlled rollouts.

• Access to AI tools throughout the research and development lifecycle.

• Opportunities for mentoring and technical planning.