Senior Infrastructure Platform Engineer

Stelle nicht auf LinkedIn

🕒 vor 2 Monaten

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Vollzeit

🟠 Senior

🏗️ Plattformingenieur

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Teaching Strategies, LLC

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 1988

📚 Bildung

☁️ SaaS

🤝 B2B

Education • SaaS • B2B

Teaching Strategies, LLC ist ein Anbieter eines vernetzten Ökosystems für die frühkindliche Bildung, das forschungsbasierte Lehrpläne, beobachtungsbasierte Bewertungen, Tools zur Einbindung der Familie, berufliche Weiterbildung und Management von Klassenzimmern/Zentren kombiniert. Seine Plattform (mit Produkten wie The Creative Curriculum, GOLD/GOLDFinch, ReadyRosie, Tadpoles und SmartTeach) bedient Head-Start-Programme, Vorschulen bis zur dritten Klasse, familien- und privatgeführte Kinderbetreuung sowie Administratoren, um die Effektivität und Bindung von Lehrkräften sowie die Ergebnisse der Kinder zu verbessern. Das Unternehmen bietet digitale Tools, Inhalte, Datenberichte und Dienstleistungen zur Unterstützung von Unterricht, Einhaltung gesetzlicher Vorschriften und Programmverwaltung in Tausenden von Klassenzimmern und Programmen weltweit an.

Beschreibung

• 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

🎯 Anforderungen

• 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)

🏖️ Vorteile

• 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