Senior Deployment Engineer

🕒 il y a 10 mois

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Atolio

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2019

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Atolio est un moteur de recherche d'entreprise alimenté par l'IA, conçu pour conserver vos données au sein de votre environnement cloud. Il permet aux utilisateurs de poser des questions sur leur base de connaissances et de recevoir des réponses intelligentes et conscientes des permissions tout en garantissant le contrôle et la sécurité des données. Atolio s'intègre parfaitement avec diverses applications d'entreprise telles que Office 365, Google Workspace et Salesforce, favorisant la collaboration et la prise de décisions éclairées en fournissant un accès aux documents pertinents et en identifiant les experts internes.

Description

• The Role: As a Deployment Engineer, you’ll serve as a key link between our engineering and customer success teams. You’ll ensure that Atolio’s enterprise search platform is deployed smoothly, securely, and efficiently in a variety of environments. You’ll take ownership of the full deployment lifecycle, including environment setup, infrastructure provisioning, configuration, integration, and monitoring. Your work will play a vital role in driving customer adoption and satisfaction. • What You’ll Do: • Lead customer specific deployments and onboarding of Atolio’s platform in cloud native or hybrid environments • Design and implement deployment processes focused on scalability, security, and reliability • Integrate Atolio with a range of enterprise systems (e.g., document repositories, ticketing systems, code repositories) • Collaborate with backend engineers to optimize deployment pipelines and system performance • Build automation scripts and tooling to streamline operations and minimize manual tasks • Troubleshoot and resolve deployment issues in collaboration with customers • Maintain accurate deployment documentation and promote best practices for internal and external use

🎯 Exigences

• 5+ years in a deployment, DevOps, site reliability, or infrastructure engineering role • Deep experience with at least one major cloud platform (AWS, GCP, or Azure) • Strong background in containerization, especially with Kubernetes • Proficiency with CI/CD pipelines and infrastructure-as-code tools such as Terraform and Helm • Knowledge of secure networking, identity management (e.g., SAML, OIDC), and API integrations • Familiarity with enterprise tools such as Okta, ServiceNow, SharePoint, or Salesforce • Experience with observability platforms such as Grafana, Splunk, or Datadog • Programming experience in at least one language (Go, Python, or similar); familiarity with Golang is a plus • Excellent troubleshooting abilities and clear, empathetic communication with external stakeholders • A mindset focused on automation, repeatability, and scalable solutions

🏖️ Avantages

• Competitive salary and early-stage equity • Comprehensive health, dental, and vision coverage • Home office stipend • Flexible PTO policy