Cloud Solutions Architect

Syntas; United States; Remote; USD 160,000 - 220,000; Full time

Benefits offered by this job

401(k) with company match

12 weeks paid parental leave

$1,000 home office stipend

Budget to attend or speak at cloud/AI

Quarterly team offsites

Job summary

Syntas is seeking a Senior Cloud Solutions Architect to design secure, scalable infrastructure across AWS, GCP, and Azure for AI initiatives and business-critical apps. This fully remote US-based role focuses on migrations, greenfield builds, and modernization, including LLM inference, training pipelines, vector databases, and RAG systems.

The ideal candidate has 7+ years in infrastructure with 4+ in cloud architecture, holds a cloud certification, and excels at IaC and Kubernetes.

Qualifications

• 7+ years in infrastructure, incl. 4+ years cloud architecture
• Deep expertise in at least one major cloud (AWS, GCP, or Azure)
• Professional cloud certification (AWS Solutions Architect Professional or GCP Professional Cloud Architect)
• Strong experience with infrastructure as code and Kubernetes architecture

Responsibilities

• Design cloud architectures for AI/ML training, inference, data pipelines, and high-availability apps
• Lead cloud migration planning, including assessment, sequencing, and risk mitigation
• Build Kubernetes architectures for containerized workloads with scaling and networking
• Implement infrastructure as code using Terraform, Pulumi, or CloudFormation
• Design security architectures covering IAM, network isolation, encryption, and compliance controls
• Develop cost optimization and FinOps strategies and present to stakeholders

Skills

Cloud architecture

IaC

Kubernetes

Communication

Tools

Terraform

Pulumi

CloudFormation

Kubernetes

Job description

Role overview

A senior Cloud Solutions Architect role designing secure, scalable, and cost-optimized infrastructure across AWS, GCP, and Azure for client AI initiatives and business-critical applications. Work spans migrations, greenfield builds, and modernization, with a strong emphasis on AI/ML workloads such as LLM inference, training pipelines, vector databases, and RAG systems. It is a fully remote, US-based, full-time position with a salary range of $160,000–$220,000.

Responsibilities

• Design cloud architectures for AI/ML training, inference, data pipelines, and high-availability applications
• Lead cloud migration planning, including assessment, sequencing, and risk mitigation
• Build Kubernetes architectures for containerized workloads with appropriate scaling and networking
• Implement infrastructure as code using Terraform, Pulumi, or CloudFormation for repeatable deployments
• Design security architectures covering IAM, network isolation, encryption, and compliance controls
• Develop cost optimization and FinOps strategies, and present recommendations to client stakeholders

Requirements

• 7+ years in infrastructure, including 4+ years focused on cloud architecture
• Deep expertise in at least one major cloud (AWS, GCP, or Azure) with working knowledge of the others
• Professional cloud certification such as AWS Solutions Architect Professional or GCP Professional Cloud Architect
• Strong experience with infrastructure as code and Kubernetes architecture (networking, storage, security, multi-cluster)
• Understanding of AI/ML infrastructure needs: GPU instances, model serving, vector databases, and data architectures including lakes, warehouses, streaming, and ETL/ELT
• Excellent communication skills for presenting to both technical and non-technical stakeholders

Nice to have

• Multiple cloud certifications across AWS, GCP, and Azure
• Experience with specialized AI hardware (NVIDIA GPUs, TPUs, custom ASICs), edge or hybrid cloud, and service meshes like Istio or Linkerd
• Background in platform engineering, chaos engineering, or resilience testing
• Familiarity with compliance frameworks such as SOC 2, HIPAA, PCI-DSS, or FedRAMP
• Prior consulting experience with cloud vendors or system integrators
• Public speaking or thought-leadership experience

Benefits and work setup

• Fully remote within the US, full-time
• Salary range of $160,000–$220,000
• MacBook Pro, external display, and peripherals of choice
• Access to AI tools and subscriptions such as GPT-4, Claude, and GitHub Copilot
• 401(k) with company match, 12 weeks paid parental leave, and a $1,000 home office stipend
• Quarterly team offsites in interesting locations
• Budget to attend or speak at cloud and AI conferences