FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

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 fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesAI/MLData PlatformCloud ArchitectureDisaster RecoverySecurity ComplianceOpenShiftAWSAzureGCP
Tools & Technologies
MLOps ToolingModel RegistriesField Integrations
Industry Keywords
Regulated EnvironmentsEnterprise ImplementationsTechnical ExecutionStrategic Deployments
Tech Stack
Tools & technologiesAWSAzureCloudGoogle 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