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Cloud Solutions Architect

icon building Company : Erm
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Job Description - Cloud Solutions Architect

Cloud Architecture Strategy & Standards 

  • Define cloud reference architectures, design principles, and guardrails for AWS and Azure. 

  • Develop target-state architectures across networking, compute, data, identity, and platform services. 

  • Establish reusable architectural patterns and design standards for consistent adoption across teams. 

Solution Design & Governance 

  • Provide oversight and governance to ensure solutions adhere to security, resilience, cost, and operational requirements. 

  • Conduct architectural reviews, support compliance with cloud guardrails, and ensure alignment with enterprise-wide patterns. 

  • Guide product teams on architectural trade-offs, future-state planning, and selection of platform components. 

Technical Leadership Across Teams & Vendors 

  • Lead architectural direction for high-impact cloud initiatives, multi-team platforms, and strategic product builds. 

  • Provide guidance to internal teams and external vendors to ensure architectural consistency and quality. 

  • Collaborate with cloud engineers, DevOps engineers, security teams, and product owners to shape end-to-end solution design. 

Security, Resilience & Operational Excellence 

  • Embed cloud security best practices (IAM, identity federation, encryption, network segmentation, least privilege). 

  • Ensure resilience through multi-AZ/region patterns, automated recovery, failover strategies, and design for high availability. 

  • Contribute to operational readiness through logging, monitoring, cost controls, and lifecycle management of cloud components. 

Cost Management & Optimization 

  • Define cost-optimised architecture patterns and guide teams on capacity planning, rightsizing, and cloud economics. 

  • Partner with FinOps/operations teams to improve visibility into consumption and total cost of ownership (TCO). 

Architecture Enablement & Knowledge Sharing 

  • Provide architectural coaching and guidance to engineers, promoting cloud fluency across teams. 

  • Maintain architecture documentation, reusable reference designs, and platform guidelines. 

  • Contribute to developing ERM’s cloud operating model and long-term architecture roadmap.

Influence And Decision-Making Authority 

  • Sets architectural direction for cloud platforms, shared services, and multi-team product ecosystems.  

  • Influences enterprise-level decisions regarding cloud technology choices, patterns, and target-state evolution.  

  • Drives decisions on security, performance, resilience, and cost trade-offs across solutions.  

  • Shapes standards and governance processes adopted across delivery teams and vendors. 

Job Requirements & Capabilities 

Education & Experience 

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. 

  • 10+ years of experience designing and delivering complex enterprise-grade solutions on cloud platforms. 

  • Deep hands-on architectural exposure across AWS and Azure, including multi-account/subscription architectures. 

  • Experience leading or governing cloud adoption across multiple products, teams, or business units. 

Technical Skills 

  • Deep expertise in cloud infrastructure architecture across compute, networking, storage, IAM, security, and observability, with a primary focus on building and operating AIready platforms. 

  • Handson experience designing and running shared AI platforms using Kubernetes (EKS/AKS), container orchestration, serverless components, and distributed systems. 

  • Knowledge of cloud-native networking, hybrid connectivity, VPN/Direct Connect/ExpressRoute, load balancing, and private endpoints. 

  • Proficiency in InfrastructureasCode (Terraform, Bicep, CloudFormation) and automated platform provisioning, including environment standardization and guardrails. 

  • Strong grasp of resilience patterns, multi-region architectures, disaster recovery, and zero-trust security principles. 

  • Strong focus on cost governance for AI platforms, including usage metering, quota management, autoscaling controls, and optimization of inference costs.  

  • Proficiency with Amazon Bedrock and Azure AI Foundry including tenant isolation, identity integration, quota enforcement, networking controls, observability, and enterprisescale deployment patterns.  

  • Strong LLMOps experience, including model lifecycle management, versioning, prompt/config management, rollout strategies (bluegreen/canary), monitoring, alerting, and operational governance for large language models. 

Behavioral Skills 

  • Strong leadership presence and ability to influence decisions across cross-functional and multi-vendor environments. 

  • Excellent communicator able to articulate complex architectural concepts to technical and non-technical stakeholders. 

  • Structured thinker with a strategic mindset and ability to plan for future-state architectures. 

  • Pragmatic, collaborative, and able to balance ideal design with delivery constraints. 

  • Comfortable working in dynamic environments involving ambiguity and evolving technical landscapes. 

Desirable / Nice to Have 

  • Certifications such as AWS Solutions Architect (Professional), Azure Solutions Architect Expert, or equivalent.  

  • Experience designing internal developer platforms or shared cloud platforms at scale.  

  • Exposure to enterprise security frameworks, compliance requirements, and cloud governance tooling.  

  • Experience leading architectural modernization programs or cloud migrations.  

  • Background in platform engineering, SRE, or distributed systems design. 

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