Senior Infrastructure Platform Engineer

🕒 Maio 28

🤠 Texas – Remoto

🤠 Texas – Remote

⏰ Tempo Integral

🟠 Sênior

🏗️ Engenheiro de Plataforma

👻 Score fantasma 36%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Teaching Strategies, LLC

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1988

📚 Educação

☁️ SaaS

🤝 B2B

Education • SaaS • B2B

Teaching Strategies, LLC é um fornecedor de um ecossistema de educação infantil conectado, que combina currículos baseados em pesquisa, avaliação baseada em observação, ferramentas de engajamento familiar, desenvolvimento profissional e gestão de sala de aula/centro. Sua plataforma (incluindo produtos como The Creative Curriculum, GOLD/GOLDFinch, ReadyRosie, Tadpoles e SmartTeach) atende programas Head Start, pré-escolas até o 3º ano, creches familiares e particulares, além de administradores, para melhorar a eficácia dos professores, retenção e resultados das crianças. A empresa oferece ferramentas digitais, conteúdo, relatórios de dados e serviços para apoiar a instrução, conformidade e administração de programas em milhares de salas de aula e programas ao redor do mundo.

Descrição

• 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

🎯 Requisitos

• 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)

🏖️ Benefícios

• 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

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo