Top Benefits
About the role
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
Top Benefits
About the role
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