Senior Deployment Engineer - US (EST)

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.

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.

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

5+ years in a deployment, DevOps, site reliability, or infrastructure engineering role

Active security clearance issued by a United States Government Entity

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

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