AI DevOps Engineer

🕒 Agosto 20

🏄 California – Remoto

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💵 $140.000 - $175.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)

🦅 Patrocina Visto H1B

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👻 Score fantasma 4%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Zscaler

Zscaler

5001 - 10000 funcionários

Fundada em 2008

🔒 Cibersegurança

☁️ SaaS

🏢 Corporativo

💰 Secondary Market em 2017-11

Cybersecurity • SaaS • Enterprise

A Zscaler é um provedor líder de soluções de cibersegurança baseadas em nuvem, especializado em arquitetura de Zero Trust. A empresa aprimora a segurança e a conectividade para organizações, permitindo acesso seguro e contínuo a aplicações e dados em diversos ambientes, incluindo a nuvem, data centers locais e sistemas IoT. Com um ROI comprovado e reduções significativas nos riscos de cibersegurança, a Zscaler capacita as empresas a proteger seus recursos digitais enquanto otimiza os custos operacionais.

Descrição

• Design and ship automation that provisions cloud environments, enforces security baselines, and integrates AI-assisted tooling and agentic workflows • Build and extend Day 1 automation, including infrastructure provisioning pipelines, account vending, golden repo templates, and CI/CD components • Build and extend Day 2 automation for lifecycle management, upgrade pipelines, dependency scanning, drift detection, and automated remediation workflows • Write and maintain Terraform modules, GitLab CI/CD components, and Python automation to establish the platform's paved road • Integrate AI and agentic tooling into operational workflows to reduce manual toil and increase operational consistency • Collaborate with Security, IAM, Network, and FinOps teams to translate cross-functional requirements into automated guardrails • Report to the Manager, IT Cloud Operations in the Cloud Platform Engineering department

🎯 Requisitos

• Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving • 5+ years of experience building and operating multi-cloud infrastructure at scale across major cloud platforms • Hands-on expertise with Terraform, including module design, state management, and CI-driven workflows • Proficiency in scripting and automation using Python, Bash, or equivalent languages • Working knowledge of CI/CD pipeline design and Kubernetes operations • Understanding of identity federation, secrets management, and least-privilege security patterns • Experience with multi-account governance tooling such as AWS Control Tower, Organizations, SCPs, or RCPs • Experience with GitOps patterns and automated infrastructure lifecycle tooling such as Renovate, Dependabot, or ArgoCD • Experience with MLOps frameworks: kubeflow, ML flow, and model services like Bedrock, Sagemaker, Vertex AI, Gemini Enterprise

🏖️ Benefícios

• Various health plans • Time off plans for vacation and sick time • Parental leave options • Retirement options • Education reimbursement • In-office perks • Hybrid working model

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