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Domino Data Lab

Solution Architect

Domino Data Lab

. Lead technical execution on strategic F100 deployments across multi-cloud, on-premises, and hybrid environments .

Posted 10/13/2026full-timeRemote • United StatesMid-LevelSenior💰 $200,000 - $250,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading technical execution for strategic deployments across multi-cloud and hybrid environments, with a strong focus on Kubernetes, AI/ML integrations, and compliance-driven architectures.

Highest-signal resume keywords
Kubernetes ManagementMulti-Cloud DeploymentsAI/ML IntegrationCustomer Relationship ManagementCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
KubernetesAI/MLData PlatformCloud ArchitectureDisaster RecoverySecurity ComplianceOpenShiftAWSAzureGCP
Tools & Technologies
MLOps ToolingModel RegistriesField Integrations
Industry Keywords
Regulated EnvironmentsEnterprise ImplementationsTechnical ExecutionStrategic Deployments

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformKubernetesOpenShift

About the role

Key responsibilities & impact
  • Lead technical execution on strategic F100 deployments across multi-cloud, on-premises, and hybrid environments
  • Design end-to-end reference architectures spanning data, identity, security, and infrastructure for regulated environments
  • Build and document field integrations across the AI/ML ecosystem, including data platforms, model registries, and MLOps tooling
  • Enable the Solutions team on field integrations
  • Partner with account and sales engineering teams on scoping, custom demonstrations, and proofs of concept for customer AI use cases
  • Translate field observations into actionable Product and Engineering roadmap input

Requirements

What you’ll need
  • 5+ years hands-on with Kubernetes in production, including upgrades, migrations, multi-region disaster recovery, and cluster management at scale
  • End-to-end enterprise Kubernetes implementations in cloud or on-premises environments
  • Direct experience owning strategic customer relationships at CTO or platform-lead level
  • Hands-on experience with at least one major cloud: AWS, Azure, or GCP
  • Ability to translate security and compliance requirements into auditable architectures
  • Hands-on AI/ML or data platform experience, especially in regulated environments, is a strong plus
  • OpenShift experience is a strong signal
  • Azure experience is a strong plus
  • Candidates of all backgrounds, genders, ethnicities, abilities, and sexual orientations are encouraged to apply

Benefits

Comp & perks
  • Equity
  • Company bonus
  • 401(k) plan
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Wellness stipends
  • Teaching and learning environment
  • Diverse and inclusive workplace