Principal Solutions Architect, Cloud, Infrastructure, Data

Solvd, Inc.

. Define technical direction, reference architectures, landing zones, and standards across AWS, Azure, Kubernetes, and infrastructure-as-code .

Posted 10/9/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud architectures, data governance, and AI-driven solutions while ensuring compliance with industry standards. Proven ability to lead technical teams, mentor engineers, and shape strategic engagements in complex environments.

Highest-signal resume keywords

AWS ArchitectureAzure ArchitectureKubernetes Production ExperienceInfrastructure-As-Code (Terraform)Data Governance and Quality

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud EngineeringData EngineeringAI Tools for Design and SynthesisIAM DesignZero-Trust NetworkingEncryptionAudit ReadinessGenAI Systems ExperienceMulti-Cloud ExperienceRegulated-Industry Compliance

Soft Skills

Technical CommunicationMentoringProblem-SolvingAdaptabilityCollaboration

Tools & Technologies

TerraformAWSAzureKubernetesAI Platforms

Certifications & Qualifications

AWS Solutions Architect ProfessionalAzure Solutions Architect ExpertCKA Certification

Industry Keywords

SOC 2ISO 27001Infrastructure StandardsData Quality PatternsCost Guardrails

Tech Stack

Tools & technologies

AWSAzureCloudKubernetesTerraform

About the role

Key responsibilities & impact

Define technical direction, reference architectures, landing zones, and standards across AWS, Azure, Kubernetes, and infrastructure-as-code
Design lakehouse, warehouse, streaming, data governance, and data quality patterns
Design platform layers for GenAI and agentic workloads from prototype to production
Cover access control, evaluation, observability, and cost guardrails for AI platforms
Lead technical discovery, size and de-risk engagements, and write solution designs and technical scope
Use AI tools for discovery synthesis, design drafts, IaC and code generation, reviews, documentation, and estimation
Establish repeatable AI-enabled patterns and prompts for team adoption
Set guardrails for AI use with client and production data
Own IAM, network segmentation, secrets management, and logging
Design for SOC 2, ISO 27001, and regulated-industry compliance
Include run cost, reliability targets, observability plans, and rollback paths in designs
Run design reviews and mentor architects and senior engineers
Turn repeat solutions into reusable accelerators
Work directly with Cloud BU leadership to shape engagements and roadmaps
Shape AI-driven projects from startup innovation through enterprise transformation

Requirements

What you’ll need

12+ years in infrastructure, cloud, or data engineering
Several years as the accountable architect for production systems at scale
Deep hands-on experience with AWS and/or Azure
Production Kubernetes experience
Terraform or equivalent infrastructure-as-code tool experience
Ability to credibly review pull requests
Experience designing and shipping modern data platforms, including governance and data quality
Security-first experience with IAM design, zero-trust networking, encryption, and audit readiness
Concrete examples of using AI to shorten delivery timelines or expand output
Ability to verify AI-generated output before production use
Ability to explain technical tradeoffs to CFOs and engineers
Ability to act under ambiguity and create initial plans
Preferred: production GenAI or LLM systems experience, including RAG, evaluation, guardrails, or agent orchestration
Preferred: multi-cloud or hybrid experience at enterprise scale
Preferred: regulated-industry experience
Preferred but not required: AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA certification
Preferred: experience building an architecture practice or center of excellence

Benefits

Comp & perks

Equal opportunity employer
Inclusive environment prioritizing continuous learning, innovation, and ethical AI standards
Opportunities to shape real-world AI-driven projects across key industries
Collaboration with a global team across continents and cultures