Key Responsibilities –
· Lead end-to-end solution architecture for enterprise infrastructure, cloud transformation, application modernization, and AI/ML platform initiatives.
· Translate business, application, security, compliance, performance, and operational requirements into scalable technical solutions.
· Develop high-level and detailed solution designs covering compute, storage, network, security, identity, data, integration, observability, resiliency, and disaster recovery.
· Facilitate architecture reviews and ensure proposed solutions align with enterprise standards, technology strategy, and architecture governance.
· Evaluate technical alternatives and provide recommendations based on business value, security, scalability, performance, supportability, and total cost of ownership.
· Provide technical direction to engineering, migration, platform, DevOps, and operations teams throughout the solution lifecycle.
· Create architecture diagrams, design documents, bills of materials, implementation approaches, and technical decision records.
Cloud and Infrastructure Transformation
· Design cloud-native, hybrid-cloud, and multi-cloud solutions using AWS, Microsoft Azure, and Google Cloud Platform.
· Define cloud landing-zone requirements, account and subscription structures, connectivity, identity integration, security controls, logging, monitoring, and governance.
· Architect solutions using cloud compute, storage, networking, database, container, serverless, integration, and AI services.
· Lead infrastructure and application discovery, dependency assessment, migration-wave planning, and workload disposition decisions.
· Define migration patterns such as rehost, replatform, refactor, retire, retain, and replace.
· Design solutions for migrating enterprise applications, databases, middleware, network services, and security components from data centers to cloud platforms.
· Support workload modernization involving containers, microservices, API gateways, managed databases, serverless computing, and cloud-native services.
The source profile includes architecture and migration experience involving AWS, Azure, Google Cloud Platform, VMware, OpenStack, Kubernetes, serverless platforms, enterprise databases, identity services, and approximately 70 enterprise application migrations.
Networking and Security Architecture
· Design secure enterprise and cloud network architectures covering VPCs/VNets, routing, switching, segmentation, load balancing, DNS, firewalls, NAT, direct connectivity, and hybrid-cloud integration.
· Develop network designs supporting data-center migrations, cloud adoption, microservices, container platforms, and geographically distributed enterprise environments.
· Define architecture for software-defined networking, network-function virtualization, SD-WAN, and cloud network services.
· Collaborate with cybersecurity teams to incorporate Zero Trust principles, identity controls, encryption, network security, privileged access, logging, vulnerability management, and regulatory requirements.
· Design integrations with enterprise security and networking products such as F5 load balancers, Palo Alto firewalls, Cisco and Arista networking, Zscaler, Imperva WAF, AWS Direct Connect, and CloudFront where applicable.
These technology areas are directly represented in the attached profile’s enterprise architecture, data-center migration, cloud-networking, SDN, SD-WAN, firewall, load-balancer, and security-platform experience.
Container, DevOps and Automation Architecture
· Architect container platforms using Kubernetes and managed services such as Amazon EKS and equivalent enterprise container platforms.
· Define platform patterns for workload deployment, scaling, service discovery, ingress, secrets management, monitoring, and container security.
· Establish Infrastructure as Code standards using Terraform and associated automation frameworks.
· Design CI/CD pipelines supporting repeatable application and infrastructure deployments.
· Promote automation across provisioning, configuration, compliance validation, deployment, testing, and operational monitoring.
· Provide architecture guidance for Linux- and Windows-based platforms, virtualization, storage, and cloud operating environments.
The attached profile reflects hands-on exposure to Kubernetes, OpenShift, Rancher, EKS, Terraform, Jenkins, Docker, VMware ESX, Hyper-V, KVM, OpenStack, Linux, Windows, and related automation technologies.
AI/ML and Data Platform Architecture
· Design infrastructure patterns for AI, machine learning, GenAI, model training, inference, data processing, and high-performance computing workloads.
· Assess compute, GPU, storage, network, latency, scalability, and cost requirements for AI/ML platforms.
· Architect secure integrations between enterprise applications, data platforms, foundation models, and cloud AI services.
· Support the design of ML inference pipelines, streaming analytics, data lakes, and AI-enabled applications.
· Evaluate cloud and enterprise AI capabilities across AWS, Azure, and Google Cloud Platform.
· Define architecture considerations for responsible AI, model access, data protection, observability, performance, and operational support.
· Work with engineering teams to optimize GPU- and CPU-based workloads using appropriate frameworks and acceleration technologies.
The source profile includes experience with Amazon SageMaker, PyTorch, TensorFlow, MXNet, TensorRT, CUDA, RAPIDS, GPU clusters, streaming analytics, GenAI, LLM-related platforms, and AI infrastructure optimization.
Application and Integration Architecture
· Assess legacy and modern applications for cloud readiness and modernization opportunities.
· Define solution patterns for web applications, microservices, APIs, middleware, databases, messaging, and third-party integrations.
· Develop API architecture covering authentication, authorization, gateway management, traffic control, monitoring, and service integration.
· Guide application teams on code remediation, platform compatibility, database migration, identity integration, and deployment automation.
· Support modernization from legacy middleware and application-server platforms to API-led and cloud-native architectures.
· Define integration patterns using REST APIs, event-driven architecture, managed integration services, and secure enterprise authentication.
The profile demonstrates experience with RESTful APIs, API gateway transformation, Okta and Active Directory integration, WebSphere modernization, Java application refactoring, and migration of Oracle, SQL Server, DB2, Sybase, and Amazon Aurora workloads.
Governance, Documentation and Stakeholder Management
· Establish and maintain architecture principles, patterns, reference architectures, standards, and reusable solution templates.
· Lead technical workshops, discovery sessions, design reviews, and architecture governance forums.
· Present solution recommendations, trade-offs, risks, dependencies, and investment considerations to technical and executive stakeholders.
· Coordinate with application, infrastructure, networking, cybersecurity, data, cloud, service management, and vendor teams.
· Review technical deliverables and ensure the implemented solution remains aligned with the approved architecture.
· Identify architecture risks and technical debt, and define appropriate mitigation plans.
· Support estimates, proposals, statements of work, technical responses, and customer presentations.
· Mentor architects and engineers and promote consistent engineering and architecture practices across delivery teams.
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Required Qualifications
· Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, Electronics, or a related technical discipline.
· Significant experience in enterprise solution architecture, technical architecture, cloud architecture, or infrastructure engineering.
· Demonstrated experience designing complex solutions across application, cloud, infrastructure, network, security, and data domains.
· Strong architecture experience with at least one major public cloud platform, preferably AWS, with working knowledge of Azure and Google Cloud Platform.
· Experience with enterprise application and infrastructure migration programs.
· Strong understanding of:
o Cloud compute, storage, networking, databases, and security
o Hybrid-cloud and multi-cloud architecture
o Enterprise networking and network security
o Kubernetes and container platforms
o Virtualization technologies
o Infrastructure as Code and DevOps automation
o API and integration architecture
o High availability, disaster recovery, performance, and scalability
· Ability to communicate complex technical concepts clearly to engineering teams, business stakeholders, and executive leadership.
· Strong analytical, problem-solving, customer-engagement, and cross-functional leadership capabilities.
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Preferred Technical Skills
Cloud Platforms
· Amazon Web Services
· Microsoft Azure
· Google Cloud Platform
· VMware Cloud
· OpenStack
Infrastructure and Virtualization
· VMware ESX/vSphere
· Microsoft Hyper-V
· KVM
· Linux and Windows platforms
· SAN, NAS, NFS, VMFS, and enterprise storage technologies
Containers and Automation
· Kubernetes
· Amazon EKS
· OpenShift
· Rancher
· Docker
· Terraform
· Jenkins
· CI/CD pipelines
Networking and Security
· Cisco and Arista routing and switching
· F5 load balancing
· Palo Alto firewalls
· Zscaler
· Imperva WAF
· AWS Direct Connect
· CloudFront
· SDN, SD-WAN, NFV, VPC/VNet, BGP, OSPF, L2/L3 networking
Applications, APIs and Databases
· RESTful APIs and API gateways
· Microservices and serverless architecture
· Java, Python, C++, Rust, and scripting
· Oracle, SQL Server, DB2, Sybase, Cassandra, and Amazon Aurora
· Okta and Active Directory integration
AI/ML and High-Performance Computing
· Amazon SageMaker
· PyTorch
· TensorFlow
· MXNet
· TensorRT
· CUDA
· RAPIDS
· GPU infrastructure
· ML inference platforms
· Streaming analytics
· GenAI and LLM infrastructure
These preferred technologies have been aligned with the technical experience captured in the attached profile.
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Preferred Certifications
· AWS Certified Solutions Architect
· AWS Certified Developer
· AWS Certified SysOps Administrator
· Microsoft Azure Solutions Architect certification
· Google Professional Cloud Architect
· Kubernetes certification such as CKA or CKAD
· TOGAF or another recognized enterprise architecture certification
The attached profile specifically lists AWS Solutions Architect Associate, AWS Developer Associate, AWS SysOps Associate, and Microsoft professional or trainer credentials.
Key Competencies
· Enterprise architecture and strategic thinking
· Solution design and technical governance
· Cloud and infrastructure modernization
· Complex problem-solving
· Customer and stakeholder communication
· Cross-functional technical leadership
· Architecture documentation and presentation
· Risk identification and mitigation
· Technology evaluation and innovation
· Vendor and partner coordination
· Mentoring and technical capability development
