
201 - 500 employés
Fondée en 1988
📚 Éducation
☁️ SaaS
🤝 B2B
Education • SaaS • B2B
Teaching Strategies, LLC est un fournisseur d'un écosystème éducatif connecté pour la petite enfance qui combine des programmes d'études basés sur la recherche, une évaluation basée sur l'observation, des outils d'engagement familial, du développement professionnel et une gestion des classes/centres. Sa plateforme (incluant des produits comme The Creative Curriculum, GOLD/GOLDFinch, ReadyRosie, Tadpoles et SmartTeach) dessert les programmes Head Start, les écoles maternelles jusqu'à la troisième année, les garderies familiales et privées, ainsi que les administrateurs pour améliorer l'efficacité des enseignants, la fidélisation et les résultats des enfants. L'entreprise fournit des outils numériques, des contenus, des rapports de données et des services pour soutenir l’instruction, la conformité et l’administration des programmes dans des milliers de classes et de programmes à travers le monde.
🕒 il y a 2 mois
🗣️🇺🇸🇬🇧 Anglais requis
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201 - 500 employés
Fondée en 1988
📚 Éducation
☁️ SaaS
🤝 B2B
Education • SaaS • B2B
Teaching Strategies, LLC est un fournisseur d'un écosystème éducatif connecté pour la petite enfance qui combine des programmes d'études basés sur la recherche, une évaluation basée sur l'observation, des outils d'engagement familial, du développement professionnel et une gestion des classes/centres. Sa plateforme (incluant des produits comme The Creative Curriculum, GOLD/GOLDFinch, ReadyRosie, Tadpoles et SmartTeach) dessert les programmes Head Start, les écoles maternelles jusqu'à la troisième année, les garderies familiales et privées, ainsi que les administrateurs pour améliorer l'efficacité des enseignants, la fidélisation et les résultats des enfants. L'entreprise fournit des outils numériques, des contenus, des rapports de données et des services pour soutenir l’instruction, la conformité et l’administration des programmes dans des milliers de classes et de programmes à travers le monde.
• Partner with platform leadership to evolve the internal developer platform toward an AI-first model • Translate strategic direction into practical, scalable implementations • Help shape platform capabilities through hands-on engineering and technical input • Design and implement self-service infrastructure systems that abstract away cloud complexity • Build APIs, CLIs, and developer-facing tools that enable infrastructure provisioning without requiring deep cloud expertise • Introduce AI-assisted interfaces (CLI, chat, UI) for provisioning, debugging, and operations • Design, build, and operate secure, multi-tenant Amazon EKS clusters • Contribute to platform architecture, scalability, cost optimization, and reliability • Implement policy, networking, and workload isolation best practices • Build systems that interpret infrastructure signals (logs, metrics, events) and provide actionable insights • Develop AI-assisted workflows for incident triage, root cause analysis, and runbook generation/execution • Enable human-in-the-loop automation for safe and controlled remediation • Build platform SDKs, CLIs, and service templates that standardize infrastructure consumption • Contribute to AI-powered copilots and assistants that improve developer productivity • Enable natural language interaction with platform services where appropriate • Implement reusable infrastructure patterns and opinionated defaults • Encode security, scalability, and compliance into platform tooling • Extend Infrastructure as Code practices (e.g., OpenTofu) with abstraction and validation layers • Implement logging, metrics, and tracing across platform systems • Leverage AI to detect anomalies, summarize system behavior, and surface actionable insights • Contribute to systems that move from visibility to guided action • Contribute to platform instrumentation and feedback loops • Use data and developer feedback to improve usability, performance, and adoption • Continuously refine platform capabilities based on real-world usage • Work closely with application teams, SREs, and security engineers • Support platform adoption through strong technical partnership • Provide mentorship and guidance to engineers where needed
• 8+ years in infrastructure, SRE, DevOps, or platform engineering role • Proven experience building or contributing to internal developer platforms • Deep expertise in Amazon Web Services, especially EKS, IAM, and networking • Strong programming skills (Python or Go), with experience building production-grade tools and services • Strong understanding of Infrastructure as Code, GitOps, and cloud-native architectures • Experience or strong interest in integrating AI/LLMs into developer or operational workflows • Familiarity with APIs from providers like OpenAI or similar • Understanding of event-driven architectures and their role in intelligent automation • Ability to design adaptive, feedback-driven systems rather than static workflows • Experience building developer tooling (CLIs, portals, SDKs)
• Competitive compensation package • Employee Equity Appreciation Program • Health and wellness insurance benefits • 401k with employer match • Flexible work environment • Unlimited paid time off (which includes paid holidays and Winter Break) • Paid parental leave • Tuition assistance, professional development, and opportunities for career growth • Best in class technology equipment for every employee • Penthouse suite in downtown DC seconds away from Washington Nationals Stadium and Audi Field
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