Architect I - Cloud Infrastructure Services

9 - 12 Years
1 Opening
Bangalore

Role Proficiency:

Design and implement Infrastructure/Cloud Architecture for a small/mid size projects

Outcomes:

Measures of Outcomes:

Outputs Expected:

Solution Definition and Design:

Requirement gathering and Analysis:

Project Management Support:

Technology Consulting:

Business and Technical Research:

Project Estimation:

Proposal Development:

Knowledge Management & Capability Development::

Process Improvements / Delivery Excellence:

Skill Examples:

Knowledge Examples:

• Domain/ Industry Knowledge: Has basic knowledge of standard business processes within the relevant industry vertical and customer business domain
  • Technology Knowledge: Has deep working knowledge on the one technology tower and gain more knowledge in Cloud and Security

  • Estimation and Resource Planning: Has working knowledge of estimation and resource planning techniques

  • Has basic knowledge of industry knowledge management tools (such as portals wiki) UST and customer knowledge management tools techniques (such as workshops classroom training self-study application walkthrough and reverse KT)

  • Technical Standards Documentation and Templates: Has basic knowledge of various document templates and standards (such as business blueprint design documents etc)

  • Requirement Gathering and Analysis: Demonstrates working knowledge of requirements gathering for (non-functional) requirements analysis for functional and non functional requirement analysis tools (such as functional flow diagrams activity diagrams blueprint storyboard and requirements management tools (e.g.MS Excel)
  
  
  Additional Comments:

  Data Center & Cloud Infrastructure and Service Orchestrator Architect Position Overview We are seeking an expert Data Center & Cloud Infrastructure and Service Orchestrator Architect to design and implement the service orchestration layer that will deploy and manage diverse workloads on top of our multi-region cloud infrastructure. This role focuses on creating intelligent orchestration systems that automate the deployment, scaling, and management of applications, databases, AI/ML services, and other cloud services. Key Responsibilities Service Orchestration Platform Design • Design comprehensive service orchestration platforms for automated workload deployment and management • Architect API-driven service provisioning systems with self-service capabilities • Design multi-tenant service isolation and resource allocation frameworks • Create service lifecycle management systems including deployment, scaling, updates, and decommissioning Workload Orchestration Architecture • Design orchestration systems for diverse workload types: o Virtual machine provisioning and management o Container orchestration using Kubernetes o Database service deployment (SQL, NoSQL, distributed databases) o Message queue services (Kafka, RabbitMQ, Apache Pulsar) o GPU-accelerated AI/ML services and model inference platforms o Large Language Model (LLM) fine-tuning and inference services similar to AWS Bedrock AI/ML Service Orchestration • Architect AI/ML pipeline orchestration for model training, validation, and deployment • Design GPU resource scheduling and allocation systems for distributed training • Create model serving infrastructure with auto-scaling and load balancing • Design MLOps platforms for continuous integration and deployment of ML models • Architect LLM inference services with dynamic scaling and cost optimization Service Discovery and Integration • Design service mesh architectures for microservices communication • Architect API gateway and service proxy solutions • Create service discovery, configuration management, and secrets management systems • Design inter-service communication patterns and protocols Automation and DevOps Integration • Design CI/CD pipelines integrated with service orchestration platforms • Architect GitOps workflows for declarative service management • Create policy-based governance and compliance automation • Design cost management and resource optimization automation

Data Center,Cloud Infrastructure,Orchestrator