Principal Solutions Architect – AI & Deployment

ArangoDB

Principal Solutions Architect deploying and scaling Arango's platform across on-prem and cloud. Leading customer engagements for Proof-of-Concepts, production deployments, and platform adoption.

Posted 7/2/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in deploying and operating Kubernetes-based environments, with a strong focus on scalability, reliability, and security. Proficient in guiding customers through complex technical decisions and managing deployment processes effectively.

Highest-signal resume keywords

Kubernetes DeploymentLinux FundamentalsContainerization TechnologiesPerformance TroubleshootingPoC Planning and Execution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesContainerizationDistributed SystemsEnvironment SizingTechnical ValidationArchitecture ReviewDeployment GuidesRunbooksReference ArchitecturesOperational Best Practices

Soft Skills

Strong Communication SkillsCustomer GuidanceTechnical Discussion Leadership

Tools & Technologies

ClickUpSlack

Industry Keywords

On-Prem InfrastructureCloud InfrastructureDistributed DatabasesGraph DatabaseMulti-Model Database

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetesLinux

About the role

Key responsibilities & impact

Lead deployments of self-managed, Kubernetes-based environments across on-prem and cloud infrastructures.
Guide customers through environment readiness, hardware sizing, networking, and configuration requirements.
Install and configure operators, licenses, and supporting platform components.
Partner with Product, Engineering, and Professional Services to clarify requirements, success criteria, and deployment patterns.
Plan and execute PoCs, including scoping, milestones, communication cadence, and technical validation.
Conduct architecture reviews focused on scalability, reliability, security, and operational best practices.
Troubleshoot installation, orchestration, and runtime issues across Kubernetes, containers, and distributed systems.
Develop and maintain deployment guides, runbooks, reference architectures, and best-practice documentation.
Support customer demos and technical walkthroughs using real or representative datasets.
Manage expectations around performance, reliability, and operational boundaries throughout the engagement lifecycle.
Maintain clear engagement plans, status updates, and decision logs to ensure alignment across teams.

Requirements

What you’ll need

15+ years of experience building, creating complex solutions
Hands-on experience deploying and operating software on Kubernetes (on-prem and cloud).
Strong Linux fundamentals and experience with containerization technologies.
Experience sizing and configuring environments for data-intensive or distributed systems.
Familiarity with distributed databases; graph or multi-model database experience is a plus.
Strong communication skills with the ability to lead technical discussions and guide customers through complex decisions.
Proven ability to troubleshoot performance, capacity, and operational issues in production-grade environments.
Experience running PoCs end-to-end, including planning, execution, and success measurement.
Comfortable using modern collaboration tools (ClickUp, Slack, etc.).

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities