DevOps Engineer

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Logo of Akkadian Labs

Akkadian Labs

51 - 200 funcionários

☁️ SaaS

🏢 Corporativo

📡 Telecomunicações

SaaS • Enterprise • Telecommunications

A Akkadian Labs é um provedor líder de soluções de provisionamento automatizado para ambientes de Comunicações Unificadas (UC). Eles oferecem um conjunto de produtos, incluindo Akkadian Provisioning Manager, Console, Contact Manager e Site Builder, projetados para simplificar a adoção, implementação e gestão de UC. Suas soluções facilitam o provisionamento sem erros em plataformas como Webex, Microsoft e Zoom, ajudando a gerenciar milhões de usuários empresariais de forma eficiente. A Akkadian Labs trabalha em estreita colaboração com parceiros e emprega automação para reduzir o trabalho manual repetitivo, melhorar a segurança e alcançar um rápido retorno sobre investimento (ROI). Eles são reconhecidos por sua parceria com provedores UC e suporte por meio de um console intuitivo que atende a ambientes de alto volume de chamadas.

Descrição

• **Who You Are** • The DevOps Engineer will support the design, implementation, and maintenance of scalable and secure infrastructure and DevOps processes at Akkadian Labs. You will work with development, QA, and product teams to enable reliable deployments, automate workflows, and improve system observability across Rocky OS-based, AWS-hosted, and on-premises solutions. • This is a hands-on technical role focused on execution, continuous improvement, and operational excellence within the DevOps function led by the DevOps Manager. • **Key Responsibilities ** • *Infrastructure and Environment Management * • - Support deployment and maintenance of scalable infrastructure in AWS and hybrid cloud environments. • - Assist in managing infrastructure-as-code (IaC) using Terraform, CloudFormation, or similar tools. • - Help maintain Linux-based environments. • - Contribute to containerization efforts using Docker and orchestration via Kubernetes. • - AI and Agent Infrastructure Implementation & Support • - Work on the design, deployment and management of AI agent workloads, including provisioning compute instances and managing resource scaling for inference-heavy tasks. • - Play a key role in building and maintaining model deployment pipelines, including versioning, testing, and rollback of AI models in production environments. • - Monitor AI API consumption and infrastructure costs, implementing alerting and controls to prevent runaway usage and support budget visibility. • - Coordinate the implementation of infrastructure-level security guardrails for AI systems, including access controls and data isolation for model inputs and outputs. • *Observability and Reliability * • - Manage monitoring and observability efforts using tools such as Prometheus, Grafana, and the ELK stack. • - Troubleshoot system issues and contribute to incident response and root cause analysis. • - Develop and execute strategies for improving system reliability, performance, and uptime. • *CI/CD and Automation * • - Build, maintain, and optimize CI/CD pipelines using tools such as Jenkins, BitBucket CI/CD, or similar. • - Automate routine operational tasks including builds, testing, deployments, and system updates. • - Work with engineering teams to integrate pipelines with Akkadian tools. • *Security and Compliance * • - Follow secure DevOps practices and assist in implementing security controls. • - Support compliance initiatives and vulnerability remediation efforts. • *Collaboration and Documentation * • - Work closely with DevOps, engineering, QA, and product teams to support deployments and releases. • - Maintain documentation for infrastructure, processes, and operational procedures. • - Participate in team ceremonies and continuous improvement initiatives.

🎯 Requisitos

• *Required Qualifications * • - Experience: 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related role. • - Cloud Expertise: Hands-on experience with AWS (e.g., EC2, ECS, S3, IAM, Lambda, CloudWatch). • - Linux Knowledge: Working knowledge of Linux environments. • - Containerization: Familiarity with Docker and Kubernetes. • - Scripting: Basic to intermediate scripting ability in Python, Bash, or similar languages. • - CI/CD: Experience building or maintaining CI/CD pipelines and related tools. • - Observability: Exposure to monitoring and observability tools such as Prometheus, Grafana, and ELK. • - Security: Understanding of secure DevOps practices and basic compliance concepts. • *Preferred Qualifications * • - Experience supporting AI or machine learning workloads, compute environments. • - Exposure to AI model deployment pipelines and model versioning practices. • - Experience with infrastructure-as-code tools such as Terraform or CloudFormation. • - Familiarity with hybrid cloud or on-premises environments. • - Exposure to security best practices in DevOps contexts, including AI-specific concerns such as data isolation and access controls. • - Experience supporting production systems and participating in on-call rotations.

🏖️ Benefícios

• We offer a fully remote environment, plus a competitive benefits package including medical, dental, vision, company-paid life insurance and disability policies, 401(k) with a generous matching program, and paid time off.

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