About Us:
At Atolio, we are a fully remote, well-funded startup founded by experienced leaders from Splunk and PagerDuty. We’re on a mission to make organizational knowledge instantly accessible regardless of which app, service, or platform it lives in. We’re an early series startup combining cutting-edge machine learning and AI to solve some of the most complex challenges in enterprise search: indexing, retrieval, and scaling across multi-cloud infrastructure (AWS, GCP, Azure). With a collaborative culture, robust tools, and comprehensive benefits, Atolio is a place where innovation and creativity thrive.
About the Role:
As a Senior Deployment Engineer, you’ll serve as a key link between our engineering and client 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 client adoption and satisfaction.
What You’ll Do:
Lead client 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 clients' internal engineering teams
Maintain accurate deployment documentation and promote best practices for internal and external use
What We’re Looking For:
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
Experience deploying on-premises enterprise solutions is preferred
Background in search, data pipelines, or large-scale distributed systems is preferred
Why You’ll Love Working Here:
Make an impact from day one: your work will directly support client success
Autonomy and ownership: we empower you to make key technical and operational decisions
Flexible hours and remote-friendly culture: work in a way that fits your life
Transparent founders and mission-driven team: help build meaningful technology with real-world impact
Compensation & Benefits:
Competitive salary and early-stage equity
Comprehensive health, dental, and vision coverage
Home office stipend
Flexible PTO policy