Staff DevOps Engineer

🕒 Agosto 27

🇨🇦 Canadá – Remoto

⏰ Tempo Integral

🔴 Especialista

⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)

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Nexxa.ai

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2024

🏗️ Construção

🏭 Manufatura

📦 Logística

Construction • Manufacturing • Logistics

Nexxa. ai é uma empresa de IA industrial que desenvolve automação inteligente para operações industriais. Sua plataforma aprende com engenheiros e colaboradores para assumir fluxos de trabalho complexos e repetitivos, definindo autonomamente metas e critérios de execução para aumentar a produtividade e a resiliência. Entregue como uma solução integrada que funciona com stacks tecnológicos existentes, a Nexxa. ai se posiciona como uma ferramenta empresarial semelhante a SaaS que gera retorno imediato sobre o investimento para as equipes de operações.

Descrição

• Own and evolve Nexxa's core infrastructure, including compute, networking, storage, and deployment systems, end-to-end • Design and operate CI/CD pipelines supporting safe iteration across AI, data, and product engineering teams • Build and maintain infrastructure-as-code for reproducible, auditable cloud and on-prem/edge environments • Architect and manage Kubernetes platforms for training, inference, and application workloads, including GPU scheduling and autoscaling • Support data warehouses, lakehouse architectures, feature stores, embedding indices, retrieval pipelines, and model training, evaluation, and serving infrastructure • Define and drive observability practices covering metrics, logging, tracing, and alerting across distributed systems • Establish reliability practices including SLOs/SLIs, incident response, postmortems, and on-call rotations • Design security and compliance across cloud infrastructure, secrets management, and access control • Make pragmatic tradeoffs among cost, latency, reliability, and developer velocity • Collaborate with engineering leadership on infrastructure roadmap and platform strategy • Mentor engineers on infrastructure best practices and promote operational excellence

🎯 Requisitos

• 6+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or infrastructure-focused software engineering roles • Deep hands-on experience with AWS, GCP, or Azure at production scale • Kubernetes production experience, including GPU workload scheduling • Infrastructure-as-code experience with Terraform, Pulumi, or equivalent • CI/CD systems experience, including GitHub Actions, GitLab CI, CircleCI, Jenkins, or ArgoCD • Experience designing and operating observability stacks such as Prometheus, Grafana, Datadog, or OpenTelemetry • Experience supporting ML/AI infrastructure is a strong plus • Excellent scripting/programming skills in Python, Go, or Bash • Proven ability to independently scope and lead infrastructure projects from design through production rollout • Strong incident management instincts and ability to lead through outages and drive root-cause analysis • Experience with cloud and edge/on-prem infrastructure, especially industrial or manufacturing contexts • Familiarity with Snowflake, BigQuery, Redshift, or Databricks • Experience with service mesh, zero-trust networking, or industrial/critical-infrastructure compliance frameworks such as SOC 2 or IEC 62443 • History of building internal developer platforms or self-service infrastructure tooling • Experience scaling infrastructure teams or setting technical direction at Staff level

🏖️ Benefícios

• Significant opportunities for career development and advancement • Comprehensive salary and equity package • Innovative environment focused on transforming heavy industries through AI and automation • Collaborative culture valuing innovation, discipline, and continuous improvement