Senior Deployment Engineer

🕒 August 20, 2025

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Atolio

11 - 50 employees

Founded 2019

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Atolio is an AI-powered enterprise search engine designed to keep your data within your cloud environment. It enables users to ask questions about their knowledge base and receive intelligent, permission-aware answers while ensuring data control and security. Atolio integrates seamlessly with various enterprise applications like Office 365, Google Workspace, and Salesforce, fostering collaboration and informed decision-making by providing access to relevant documents and identifying internal experts.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

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

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