
11 - 50 funcionários
Fundada em 2023
☁️ SaaS
🏢 Corporativo
🤖 Inteligência Artificial
🔥 Investimento no último ano
💰 Seed Round em 2026-05
SaaS • Enterprise • Artificial Intelligence
data² é uma empresa de software de inteligência de decisão que oferece o reView™, uma camada de decisão com governança que conecta sistemas corporativos, data lakes, ferramentas de BI, documentos e sensores, permitindo que soluções de IA e analytics existentes raciocinem com base em evidências estruturadas e não estruturadas. A plataforma gera um Decision Record™ auditável, com fontes rastreáveis, caminhos de relacionamento, regras, proveniência e workflows de revisão humana, tornando os resultados de IA defensáveis e operacionais em escala. Entre os resultados normalmente destacados estão a detecção antecipada de riscos, a recuperação de valores em programas de capital, a análise consolidada de P&L e descobertas mais rápidas e revisáveis, sem substituir as ferramentas existentes dos clientes.
🕒 Setembro 2
🇺🇸 Estados Unidos – Remoto (EUA)
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🏗️ Engenheiro de Plataforma
👻 Score fantasma 25%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da data², não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship Setembro 2
Ainda aberta no site da data². Verificada 4 horas atrás.

11 - 50 funcionários
Fundada em 2023
☁️ SaaS
🏢 Corporativo
🤖 Inteligência Artificial
🔥 Investimento no último ano
💰 Seed Round em 2026-05
SaaS • Enterprise • Artificial Intelligence
data² é uma empresa de software de inteligência de decisão que oferece o reView™, uma camada de decisão com governança que conecta sistemas corporativos, data lakes, ferramentas de BI, documentos e sensores, permitindo que soluções de IA e analytics existentes raciocinem com base em evidências estruturadas e não estruturadas. A plataforma gera um Decision Record™ auditável, com fontes rastreáveis, caminhos de relacionamento, regras, proveniência e workflows de revisão humana, tornando os resultados de IA defensáveis e operacionais em escala. Entre os resultados normalmente destacados estão a detecção antecipada de riscos, a recuperação de valores em programas de capital, a análise consolidada de P&L e descobertas mais rápidas e revisáveis, sem substituir as ferramentas existentes dos clientes.
• Build and maintain the infrastructure automation and software-delivery foundation supporting the reView Decision Intelligence platform • Design, build, and maintain reusable Terraform and/or AWS CDK modules and infrastructure patterns • Automate provisioning of development, test, staging, production, and applicable federal environments • Manage application-level AWS infrastructure, Kubernetes/EKS resources, load balancing, routing, autoscaling, storage, and supporting services through code • Maintain environment configuration, secrets integration, infrastructure lifecycle automation, and recovery workflows • Design and maintain build, test, deployment, promotion, and release pipelines • Integrate QA automation, security validation, and quality gates into CI/CD workflows • Automate container builds, artifact creation, versioning, signing, storage, and promotion • Own offline delivery packaging for on-premises and air-gapped customer environments • Establish reusable deployment templates, environment patterns, and developer workflows • Maintain container and Kubernetes deployment standards, runtime configuration, secrets integration, service connectivity, ingress, and application networking patterns • Improve developer self-service and partner with Engineering on platform and deployment issues • Integrate SAST, SCA, secrets scanning, container scanning, policy-as-code, SBOM generation, signing, provenance, and traceability controls • Support least-privilege IAM and secure container build and artifact-management practices • Produce evidence for SOC 2 change-management controls and applicable NIST 800-171/CMMC requirements • Integrate logging, metrics, health monitoring, alerting, backups, restore, disaster recovery, autoscaling, and resilience patterns • Own backup, restore, and disaster-recovery automation for stateful platform services, including the graph store • Monitor infrastructure and pipeline performance and support production monitoring and initial triage • Establish standards, documentation, reusable modules, templates, runbooks, release traceability, and deployment evidence • Identify and remediate infrastructure drift, manual processes, and delivery bottlenecks • Continuously improve automation, reliability, security, developer experience, and delivery speed across Global Product and Federal delivery tracks
• Authorized to work in the United States and eligible to work within U.S.-controlled development and federal software-delivery environments, including access to export-controlled technical data • Strong experience as a Platform Engineer, DevOps Engineer, Cloud Engineer, or similar infrastructure-automation role • Strong hands-on experience with AWS and cloud-native application environments • Strong experience with Infrastructure as Code, including Terraform and/or AWS CDK • Strong experience designing and maintaining CI/CD pipelines • Experience with Docker and Kubernetes/EKS • Experience automating application infrastructure, environments, builds, deployments, and release workflows • Experience with Git-based software-development and infrastructure workflows • Experience with secrets management, IAM, and secure configuration practices • Experience integrating automated testing and security controls into CI/CD pipelines • Experience with observability, logging, metrics, and troubleshooting distributed environments • Experience with backup, restore, and recovery for stateful services • Understanding of modern DevOps, DevSecOps, IaC, immutable infrastructure, continuous delivery, and software supply-chain practices • Strong scripting and automation skills • Strong debugging and root-cause-analysis skills across infrastructure, pipelines, containers, and application environments • Strong written and spoken English for collaboration across a distributed engineering organization
• Remote position • Work within U.S.-controlled development and federal software-delivery environments • Distributed engineering organization
Candidatar-seMelhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.
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