Senior Multi-Cloud Solutions Architect – Pre-Sales
Working Model: Remote
Department: Pre-Sales / Cloud Solutions
About Cloud4Next
Cloud4Next is a fast-growing multi-cloud technology company helping organizations design, migrate, modernize, secure, manage, and optimize their cloud environments.
As a Google Cloud Premier Partner, an AWS Advanced Tier Services Partner, and a Microsoft partner with managed services capabilities across Cloud Infrastructure, Security, and Artificial Intelligence, we provide end-to-end multi-cloud solutions to customers across Türkiye, Europe, the Middle East, and the United States.
Our capabilities include cloud infrastructure, migration and modernization, FinOps, DevOps and DevSecOps, security, observability, business continuity, artificial intelligence, and managed cloud services across AWS, Google Cloud, and Microsoft Azure.
As part of our continued international growth, we are looking for a Senior Multi-Cloud Solutions Architect – Pre-Sales who can translate complex business and technical requirements into secure, scalable, resilient, cost-efficient, and commercially viable cloud solutions.
The Role
This is a customer-facing role positioned at the intersection of technology, consulting, and sales.
You will lead technical discovery, assess customers’ existing environments, design cloud and migration architectures, prepare technical and commercial solution proposals, and present recommendations to both technical and executive stakeholders.
The role primarily requires strong expertise in AWS and Google Cloud infrastructure, architecture, FinOps, and migration projects. Experience with Microsoft Azure—particularly infrastructure, security, and AI services—will be a significant advantage.
You will also be expected to understand DevOps and platform engineering sufficiently to identify customer requirements, design high-level solutions, define the appropriate scope, estimate the required effort, and collaborate effectively with Cloud4Next’s specialized delivery teams.
What You Will Do
- Lead technical discovery sessions, architecture workshops, cloud assessments, and customer meetings.
- Understand customers’ business objectives, application requirements, existing infrastructure, security needs, operational challenges, and technical constraints.
- Translate business and technical requirements into end-to-end cloud and managed services solutions.
- Design secure, scalable, highly available, resilient, and cost-efficient architectures across AWS, Google Cloud, and Microsoft Azure.
- Recommend the most appropriate cloud platform or multi-cloud approach based on workload characteristics, commercial considerations, regulatory requirements, and customer strategy.
- Assess on-premises, private-cloud, and public-cloud environments and develop migration and modernization strategies.
- Define migration approaches such as rehost, relocate, replatform, refactor, repurchase, retain, and retire.
- Design cloud foundations and landing zones covering networking, connectivity, identity, security, governance, logging, monitoring, backup, and compliance.
- Architect solutions across compute, storage, networking, databases, containers, Kubernetes, identity, security, backup, disaster recovery, and observability services.
- Lead or contribute to migration assessments, application discovery, dependency analysis, workload sizing, migration-wave planning, and target architecture design.
- Prepare high-level and, where required, low-level architecture documents.
- Develop bills of materials, cloud consumption estimates, implementation effort calculations, project plans, assumptions, exclusions, and statements of work.
- Use AWS, Google Cloud, and Microsoft Azure pricing tools to develop accurate, transparent, and commercially sustainable cost estimates.
- Incorporate FinOps principles into solution designs, including workload sizing, cost allocation, tagging, budgeting, forecasting, commitment models, and continuous optimization.
- Assess existing cloud environments and identify cost, performance, security, resilience, and operational improvement opportunities.
- Design high-level DevOps and platform engineering solutions covering CI/CD, Infrastructure as Code, container platforms, automation, observability, and operational readiness.
- Assess customers’ DevOps maturity and recommend practical transformation roadmaps.
- Identify opportunities involving cloud security, DevSecOps, identity, threat protection, data security, compliance, and managed security services.
- Identify appropriate use cases for cloud-native AI services and collaborate with specialized Data and AI teams to develop customer solutions.
- Work closely with the sales team throughout the opportunity lifecycle, from qualification and discovery to proposal development, presentation, objection handling, and technical closure.
- Collaborate with Cloud4Next’s cloud engineering, DevOps, security, Data and AI, managed services, FinOps, and project delivery teams.
- Ensure that proposed solutions are technically feasible, appropriately scoped, commercially viable, and operationally sustainable.
- Prepare responses to RFPs, RFIs, technical questionnaires, and hyperscaler-led opportunities.
- Present proposed architectures, business value, cost implications, implementation approaches, risks, assumptions, and technical trade-offs to customer stakeholders.
- Communicate effectively with infrastructure teams, software teams, security teams, procurement departments, senior management, and C-level executives.
- Support proof-of-concept, architecture review, cloud readiness, migration assessment, FinOps assessment, and security assessment engagements.
- Work directly with AWS, Google Cloud, and Microsoft field, technical, and partner teams on joint opportunities, co-sell activities, funding programs, technical validations, and solution development.
- Contribute to reusable reference architectures, service packages, proposal templates, assessment methodologies, and pre-sales best practices.
- Maintain up-to-date knowledge of cloud platforms, architecture frameworks, partner programs, migration methodologies, and industry developments.
What We Are Looking For
- At least five years of relevant experience in cloud architecture, cloud consulting, infrastructure engineering, migration, or technical pre-sales.
- At least three years of customer-facing technical consulting or pre-sales experience.
- Strong architectural knowledge and practical experience with AWS and/or Google Cloud.
- Proven experience designing production-grade cloud solutions for enterprise customers.
- Strong understanding of cloud infrastructure, including compute, storage, networking, databases, identity, security, backup, disaster recovery, monitoring, and governance.
- Experience assessing and planning enterprise workload migrations from on-premises environments or other cloud platforms.
- Knowledge of cloud migration and application modernization methodologies.
- Strong understanding of the AWS Well-Architected Framework, Google Cloud Architecture Framework, and/or Microsoft Cloud Adoption Framework.
- Experience preparing cloud cost estimates, solution proposals, implementation scopes, effort estimates, and statements of work.
- Working knowledge of FinOps principles and cloud cost optimization practices.
- Working knowledge of DevOps and platform engineering concepts, including CI/CD, Infrastructure as Code, Git-based workflows, containers, Kubernetes, automation, and observability.
- Familiarity with Terraform or equivalent Infrastructure as Code technologies.
- Ability to identify technical risks, dependencies, assumptions, exclusions, and scope boundaries during the pre-sales process.
- Strong analytical thinking, solution design, presentation, and technical documentation skills.
- Ability to explain complex technical subjects clearly to technical, commercial, and executive audiences.
- Strong customer-facing communication and stakeholder-management skills.
- Professional-level written and spoken English.
- Willingness to attend customer meetings and travel domestically or internationally when required.
Preferred Qualifications
- Experience working for a multi-cloud consulting company, managed service provider, systems integrator, or hyperscaler partner.
- Professional experience across more than one of AWS, Google Cloud, and Microsoft Azure.
- AWS Certified Solutions Architect – Professional or Associate certification.
- Google Cloud Professional Cloud Architect certification.
- Microsoft Certified: Azure Solutions Architect Expert certification.
- FinOps Certified Practitioner or FinOps Certified Professional certification.
- Experience with AWS Migration Acceleration Program, AWS Optimization and Licensing Assessment, Google Cloud migration frameworks, Microsoft Cloud Adoption Framework, or comparable vendor-led programs.
- Experience designing Kubernetes platforms using Amazon EKS, Google Kubernetes Engine, or Azure Kubernetes Service.
- Experience designing Infrastructure as Code and CI/CD architectures using technologies such as Terraform, GitHub Actions, GitLab CI/CD, Jenkins, or Argo CD.
- Knowledge of cloud security, DevSecOps, identity, threat protection, data security, SRE, business continuity, and disaster recovery.
- Familiarity with monitoring and observability technologies such as Prometheus, Grafana, Datadog, Dynatrace, or comparable platforms.
- Familiarity with cloud-native artificial intelligence services across AWS, Google Cloud, or Microsoft Azure.
- Experience supporting international customers and multi-country sales teams.
- Experience contributing to hyperscaler competencies, specializations, partner validations, or customer success submissions.
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