DevOps Engineer

🕒 Setembro 15

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $130.000 - $140.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)

👻 Score fantasma 15%

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.Por que essa pontuação:

• Aberta há 61 dias.
• As vagas desta empresa costumam ser preenchidas em 27 dias.

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Consensus

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

A Consensus é uma plataforma líder de automação de demos, projetada para aprimorar a experiência do comprador e simplificar o processo de vendas. A empresa oferece ferramentas para criar demos e tours interativos de produto, permitindo que as equipes de vendas e pré-vendas se envolvam de forma mais eficaz com potenciais clientes. Com sua plataforma intuitiva, a Consensus permite compartilhar demos em vídeo personalizadas sob demanda, conduzir simulações de produto automatizadas e analisar dados de intenção de compra para identificar os principais tomadores de decisão e agilizar o ciclo de vendas. Confiada por muitas das maiores empresas de software no mundo, a Consensus ajuda organizações a fechar negócios mais rápido e a aumentar a eficiência de vendas.

Descrição

• Design and build sophisticated CI/CD pipelines for rapid feature deployment across microservices and distributed systems • Leverage AI code-generation tools to accelerate pipeline development and implement intelligent testing strategies • Write custom pipeline scripts and integrations using Python and shell scripting • Architect GitOps workflows using ArgoCD, Flux, or similar platforms • Implement progressive delivery strategies, including blue-green deployments, canary releases, and feature flags • Optimize builds using AI-powered caching, parallel execution, and dependency analysis • Champion AI tool adoption across the DevOps lifecycle • Use AI pair-programming tools to create Terraform modules, Python automation scripts, shell scripts, Kubernetes manifests, and troubleshooting workflows • Implement AIOps practices for self-healing systems, intelligent alerting, anomaly detection, and predictive maintenance • Use AI-driven monitoring, observability, log analysis, and root-cause analysis to reduce MTTR • Build developer-friendly platform tools that abstract infrastructure complexity • Automate deployments, infrastructure provisioning, security scanning, compliance checks, and operational runbooks • Develop Python automation scripts and CLI tools to streamline operations and integrate systems • Design Kubernetes container-orchestration strategies with AI-enhanced optimization and scaling • Implement AI-powered capacity planning, cost optimization, security scanning, and vulnerability remediation • Partner with engineering teams to optimize delivery pipelines and remove bottlenecks • Evaluate and adopt emerging AI technologies • Create documentation using AI assistants • Drive DevOps culture through mentorship, best-practice evangelism, and technical leadership • Implement feedback loops from production monitoring into development practices

🎯 Requisitos

• 4+ years of DevOps experience with strong CI/CD focus • Expert-level experience designing and implementing complex CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or similar • Advanced knowledge of GitOps principles and tools such as ArgoCD, Flux, or Spinnaker • Strong understanding of build optimization, artifact management, and deployment strategies • Experience with canary deployments, blue-green releases, and feature flags • Proficiency with continuous testing strategies, automated testing frameworks, contract testing, and test environment management • Deep Git expertise, including branching strategies, pull request workflows, and trunk-based development • Proven production experience using AI-powered development tools such as Claude Code, GitHub Copilot, Cursor, Amazon CodeWhisperer, or similar • Strong prompt engineering skills • Demonstrated efficiency gains from AI tool adoption in previous roles • Understanding of responsible AI practices, including security considerations and code validation • Experience with AI-enhanced testing, security scanning, or deployment automation • 2+ years of hands-on AWS experience, including EC2, ECS/EKS, Lambda, S3, RDS, and CloudFormation • Expert-level Terraform skills for infrastructure-as-code • Production experience with Docker and Kubernetes, including multi-cluster management • Strong automation background using Ansible, Chef, Salt, or similar tools • Advanced Python programming skills • Expert-level shell scripting with Bash or sh • Solid understanding of platform, application, and data security, including SOC2 compliance requirements • Linux/Unix systems expertise and system administration skills • Database knowledge across relational, NoSQL, and distributed data stores • Preferred: experience with AIOps platforms, MLOps, artifact repositories, FinOps, service mesh technologies, observability platforms, and multi-cloud environments • Collaborative, self-motivated, quality-focused, AI-forward, communicative, curious, and data-driven

🏖️ Benefícios

• Employer contribution towards health insurance • Dental and vision coverage • Employer contributions to HSA • HSA/FSA programs • 401(k) plan with company-matching contributions • Paid parental leave • Unlimited PTO • 12 company holidays • Birthday day off • Flex Fridays, every third Friday of the month • Flexible remote work environment • Top-tier work-from-home setup provided • Professional development program • Two paid volunteer days each year

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