Senior DevOps Engineer, AI Platform

🕒 Setembro 2

🇨🇦 Canadá – Remoto

⏰ Tempo Integral

🟠 Sênior

⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)

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Newfold Digital

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2021

💼 Consultoria

📣 Marketing

📦 Logística

💰 Venture Round em 2021-01

Consulting • Marketing • Logistics

A Newfold Digital é uma provedora líder de soluções de presença online, atendendo milhões de pequenas e médias empresas no mundo todo. Por meio de seu portfólio de marcas — incluindo Bluehost, CrazyDomains, HostGator, Network Solutions, Register. com, Web. com e muitas outras — a Newfold Digital ajuda clientes de todos os portes a construir uma presença digital que gera resultados e agrega valor aos negócios. Com um amplo portfólio de produtos, como domínios, criadores de sites, hospedagem, segurança, marketing digital, design profissional de sites e serviços de SEO, além de suporte personalizado, a Newfold Digital colabora com seus clientes para atender às suas necessidades de presença online.

Descrição

• Translate application and platform technical designs into production-ready cloud infrastructure with minimal supervision • Design, provision, operate, and troubleshoot Kubernetes environments, primarily Azure Kubernetes Service and Oracle Kubernetes Engine • Support AI workloads including LiteLLM-based gateways, Python agent runtimes, RAG workers, MCP services, background workers, and asynchronous processing pipelines • Design and manage ingress and egress networking, load balancers, DNS, TLS, private connectivity, routing, NAT, firewalls, network policies, and service-to-service communication • Build and operate infrastructure for web applications and backend services, including APIs, databases, caches, queues, scheduled jobs, and event-driven workloads • Build and maintain CI/CD pipelines using Jenkins and Bitbucket, integrating Docker, Helm, Kubernetes, ArgoCD, and container registries • Automate infrastructure provisioning and configuration using Terraform, Helm, Kubernetes manifests, Python, Bash, and related tooling • Implement end-to-end observability using metrics, logs, distributed tracing, dashboards, alerts, health checks, and SLOs • Own production readiness, incident troubleshooting, root cause analysis, scalability, reliability, and infrastructure cost optimization • Create reusable infrastructure patterns that allow engineering teams to launch new services quickly and consistently • Determine required cloud resources, Kubernetes configuration, namespaces, scaling model, and supporting services for new workloads • Configure connectivity, identities, and secrets; provision and operate PostgreSQL, Redis, RabbitMQ, storage, and shared services • Build Jenkins and Bitbucket CI/CD flows for build, test, container publishing, deployment, validation, and rollback • Define observability, health checks, dashboards, alerts, capacity monitoring, and operational runbooks before production launch • Own infrastructure delivery through UAT and production, partnering with architects and engineers on design tradeoffs

🎯 Requisitos

• 7 or more years of experience in DevOps, SRE, Platform Engineering, Cloud Infrastructure, or a related role • Strong hands-on experience operating production Kubernetes environments and deep knowledge of networking, scheduling, storage, autoscaling, security, and troubleshooting • Strong Microsoft Azure experience, including AKS, networking, identity, storage, and monitoring • OCI experience is preferred, or demonstrated ability to work across cloud providers • Strong cloud networking knowledge across virtual networks, subnets, routing, NAT, load balancers, private networking, DNS, TLS, firewalls, ingress, and egress • Strong experience with Jenkins, Bitbucket, Docker, Terraform, Helm, Kubernetes, and Infrastructure as Code • Proven experience supporting production web applications and backend services, including REST APIs, microservices, background workers, and asynchronous architectures • Hands-on experience with databases, caching, and messaging systems such as PostgreSQL, Redis, RabbitMQ, or equivalent technologies • Experience implementing production observability using OpenTelemetry, Grafana, Prometheus, Sentry, cloud monitoring, or similar tools • Strong Linux, systems, and production troubleshooting skills • Working knowledge of Python, especially backend services built with frameworks such as FastAPI • Familiarity with at least one additional language such as C#, Java, Go, JavaScript, or TypeScript • Understanding of HTTP, HTTPS, DNS, TCP/IP, proxies, authentication, APIs, connection pooling, caching, concurrency, queues, retries, dead letter queues, and asynchronous processing • Ability to read application logs and stack traces and diagnose latency, memory, CPU, connection, and dependency issues