Software Engineer III – Evaluation

Emploi pas sur LinkedIn

🕒 il y a 5 jours

🤠 Texas – Distant

🤠 Texas – Remote

💵 $135 000 - $155 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Education Advanced

Site WebLinkedInTous les Emplois

51 - 200 employés

📚 Éducation

☁️ SaaS

💰 Private Equity Round en 2021-04

Education • SaaS

Education Advanced est un fournisseur de solutions de gestion des opérations et de flux de travail pour les districts scolaires K-12. L'entreprise se concentre sur l'autonomisation des éducateurs et la transformation des écoles en offrant des solutions technologiques éducatives innovantes. Ses offres de produits incluent TestHound, Pathways, Evaluation et Embarc, qui améliorent la coordination des évaluations, le suivi des diplômes, le développement des éducateurs et la gestion des programmes d'études. Education Advanced vise à améliorer les résultats éducatifs en permettant aux éducateurs de consacrer plus de temps et de ressources pour répondre efficacement aux besoins des élèves.

Description

• Design, build, ship, and support features across the Evaluation Ruby on Rails application from product conversation through production support • Build and improve AI-powered features by integrating LLMs 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 improvements including configuration simplification, technical-debt reduction, and application modernization • Write clean, high-quality, testable, secure, and maintainable code • Build and operate AWS infrastructure using CI/CD and infrastructure as code • Troubleshoot production issues end to end across the application and infrastructure • Meet FERPA, state student-privacy, and WCAG accessibility requirements • Use and help shape AI-assisted development practices, including shared conventions, reusable prompts, instructions, and safety guardrails • Partner with Product Management on requirements, backlog refinement, sprint planning, and scalable secure implementations • Mentor teammates through code review, pairing, and technical planning • Write clear system documentation • Participate in feature branches, release-branch workflows, frequent deployments, and feature-flagged rollouts

🎯 Exigences

• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience • 5+ years building and operating production web applications • Recent hands-on Ruby on Rails experience, including 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 automated Rails tests at unit and integration levels, such as RSpec • Experience deploying, running, and debugging applications in AWS, including containers, CI/CD pipelines, and infrastructure as code • Solid grasp of secure web development, including OWASP Top 10, authentication and authorization, input validation, and secrets management • Daily professional use of AI-assisted development tools beyond autocomplete for multi-step development work • Skill at directing AI tools with clear specifications, context, small checkable steps, tests, and code review • Sound judgment about AI and data safety, especially student and educator data • Track record of owning ambiguous work end to end • Comfort working in a mature codebase while improving it without stalling delivery • Excellent written and verbal communication for async, cross-time-zone teamwork • Experience working in an Agile team, 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: 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 experience, and mentoring experience

🏖️ Avantages

• Structured onboarding period • Remote work • Supportive, inclusive, and innovation-driven culture • Core availability during US Central Time business hours • Small teams with real ownership • Frequent deploys and feature flags for controlled rollout • AI tools throughout the R&D lifecycle • Mentoring and technical planning opportunities

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