Cloud Solutions Architect
Syntas is seeking a Cloud Solutions Architect to design and implement cloud infrastructure that powers our clients' AI initiatives and business-critical applications. You will work across AWS, GCP, and Azure to create architectures that are secure, scalable, cost-optimized, and purpose-built for modern workloads including AI/ML training and inference, data pipelines, and high-availability applications. This senior role requires deep expertise in at least one major cloud platform combined with broad knowledge across the cloud ecosystem. You will serve as the technical authority on infrastructure decisions, guiding clients through complex migrations, greenfield deployments, and architecture modernization efforts.
About the Role
As a Cloud Solutions Architect at Syntas, you will be the technical leader responsible for infrastructure decisions that shape how our clients' systems perform, scale, and evolve. Cloud architecture is not just about deploying resources—it is about understanding business requirements, anticipating future needs, and designing systems that serve both effectively. Your architectures will run everything from AI inference endpoints to customer-facing applications to data processing pipelines.
The variety of challenges in this role keeps the work engaging. One client might need a cost-optimized GPU cluster for training custom ML models. Another requires a multi-region deployment with strict data sovereignty requirements for European expansion. A third needs to migrate from a legacy on-premise setup to cloud-native infrastructure without disrupting their business. You will bring a consultative approach to each engagement, understanding the specific context before recommending solutions.
AI workloads are a particular focus for our infrastructure practice. You will design architectures that serve LLM inference at scale with appropriate latency characteristics, build data pipelines that feed training workflows, and implement vector databases and retrieval systems that power RAG applications. Understanding the unique requirements of AI workloads—GPU utilization, memory patterns, batch vs. real-time inference—will be central to your work.
We value architects who can communicate effectively with both technical teams and business stakeholders. You should be comfortable presenting infrastructure roadmaps to CTOs, diving deep into Terraform modules with engineers, and explaining cost implications to finance teams. The best cloud architects combine technical depth with the ability to translate infrastructure decisions into business impact.
What You Will Build
- 1Multi-cloud architectures spanning AWS, GCP, and Azure optimized for specific workload requirements
- 2AI/ML infrastructure including GPU clusters, model serving platforms, and training pipelines
- 3Kubernetes-based container platforms with appropriate networking, security, and observability
- 4Data lake and warehouse architectures that support analytics and machine learning workloads
- 5Disaster recovery and business continuity solutions with defined RPO/RTO objectives
- 6Cost optimization frameworks including FinOps practices, reserved capacity strategies, and rightsizing
- 7Security architectures implementing zero-trust principles, encryption, and compliance controls
Key Responsibilities
- Lead technical discovery and requirements gathering for cloud infrastructure projects
- Design comprehensive cloud architectures that address performance, security, cost, and operational requirements
- Architect solutions on AWS, GCP, and/or Azure using native services and best practices
- Create infrastructure designs for AI/ML workloads including training, inference, and data processing
- Develop Kubernetes architectures for containerized applications with appropriate scaling and networking
- Implement infrastructure as code using Terraform, Pulumi, or CloudFormation for repeatable deployments
- Design security architectures including IAM, network isolation, encryption, and compliance controls
- Create cost optimization strategies and implement FinOps practices for cloud spend management
- Lead cloud migration planning including assessment, sequencing, and risk mitigation
- Collaborate with development teams to design application architectures that leverage cloud-native services
- Document architecture decisions, create runbooks, and develop operational procedures
- Present architectural recommendations to client stakeholders and guide technical decision-making
- Mentor team members on cloud best practices and emerging technologies
What We Are Looking For
- 7+ years of experience in infrastructure, with at least 4 years focused on cloud architecture
- Deep expertise in at least one major cloud platform (AWS, GCP, or Azure) with working knowledge of others
- Professional cloud certifications: AWS Solutions Architect Professional, GCP Professional Cloud Architect, or equivalent
- Strong experience with infrastructure as code (Terraform, Pulumi, CloudFormation)
- Expertise in Kubernetes architecture including networking, storage, security, and multi-cluster patterns
- Understanding of AI/ML infrastructure requirements: GPU instances, model serving, vector databases
- Experience designing data architectures: data lakes, warehouses, streaming, and ETL/ELT patterns
- Strong security knowledge including identity management, network security, encryption, and compliance
- Experience with cloud cost optimization, FinOps practices, and reserved capacity planning
- Excellent communication skills for presenting to technical and non-technical stakeholders
- Track record of leading large-scale infrastructure projects or migrations
- Consultative mindset with ability to understand business context before recommending solutions
Nice to Have
- Multiple cloud certifications across AWS, GCP, and Azure
- Experience with specialized AI infrastructure: NVIDIA GPUs, TPUs, custom ASIC accelerators
- Background in high-performance computing or scientific computing infrastructure
- Experience with edge computing and hybrid cloud architectures
- Knowledge of compliance frameworks: SOC 2, HIPAA, PCI-DSS, FedRAMP
- Experience with service mesh technologies (Istio, Linkerd) and advanced networking
- Background in platform engineering and internal developer platforms
- Experience with chaos engineering and resilience testing
- Prior consulting experience at cloud vendors or system integrators
- Familiarity with emerging cloud technologies: serverless containers, confidential computing
- Public speaking experience at cloud or infrastructure conferences
- Open source contributions to cloud-native projects
Tech Stack
Benefits & Perks
- Competitive salary: $160,000 - $220,000 depending on experience
- Equity participation with meaningful upside as we grow
- Fully remote work with flexible hours—work from anywhere in the US
- Comprehensive health, dental, and vision insurance (100% premium covered for employee)
- Unlimited PTO with encouraged minimum of 4 weeks—we mean it
- $3,000 annual learning and development budget for courses, books, and certifications
- Conference attendance budget including travel—attend or speak at re:Invent, Next, and other cloud conferences
- Top-tier hardware: MacBook Pro, external display, and peripherals of your choice
- All AI tools and subscriptions you need: GPT-4, Claude, GitHub Copilot, and more
- Quarterly team offsites in interesting locations
- 401(k) with company match
- Paid parental leave (12 weeks)
- Home office setup stipend ($1,000)
- Work on genuinely interesting problems across diverse industries
Ready to Apply?
Send us your resume and a brief introduction. Tell us about your experience with AI/ML systems and what excites you about this opportunity.