Genesys Cloud Technical Product Manager

Role Proficiency:

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

Outcomes:

1. Design and implement the architecture for the projects
2. Guide and review technical delivery by project teams
3. Provide technical expertise to other projects

Measures of Outcomes:

1. # of reusable components / processes developed # of times components / processes reused
2. Contribution to technology capability development (e.g. Training Webinars Blogs)
3. Customer feedback on overall technical quality (zero technology related escalations)
4. Relevant Technology certifications
5. Business Development (# of proposals contributed to # Won)
6. # white papers/document assets published / working prototypes

Outputs Expected:

Solution Definition and Design:

1. Define Architecture for the small/mid-sized kind of project
2. Design the technical framework and implement the same
3. Present the detailed design documents to relevant stakeholders and seek feedback
4. Undertake project specific Proof of Concepts activities to validate technical feasibility with guidance from the senior architect
5. Implement best optimized solution and resolve performance issues

Requirement gathering and Analysis:

1. Understand the functional and non-functional requirements
2. Collect non-functional requirements (such as response time
   throughput numbers
   user load
   etc.) through discussions with SMEs
   business users
3. Identify technical aspects as part of story definition
   especially at an architecture / component level

Project Management Support:

1. Share technical inputs with Project Managers/ SCRUM Master
2. Help SCRUM Masters / project managers to understand the technical risks and come up with mitigation strategies
3. Help Engineers and Analysts overcome technical challenges

Technology Consulting:

1. Analysis of technology landscape
   process
   tools based on project objectives

Business and Technical Research:

1. Understand Infrastructure architecture and its' criticality to: analyze and assess tools (internal/external) on specific parameters
2. Understand Infrastructure architecture and its criticality to Support Architect/Sr. Architect in drafting recommendations based on findings of Proof of Concept
3. Understand Infrastructure architecture and its criticality to: analyze and identify new developments in existing technologies (e.g. methodologies
   frameworks
   accelerators
   etc.)

Project Estimation:

1. Provide support for project estimations for business proposals and support sprint level / component level estimates
2. Articulate estimation methodology
   module level estimations for more standard projects with focus on effort estimation alone

Proposal Development:

1. Contribute to proposal development of small to medium size projects from technology/architecture perspective

Knowledge Management & Capability Development::

1. Conduct technical trainings/ Webinars to impart knowledge to CIS / project teams
2. Create collaterals (e.g. case study
   business value documents
   summary
   etc.)
3. Gain industry standard certifications on technology and architecture consulting
4. Contribute to knowledge repository and tools
5. Creating reference architecture model
   reusable components from the project

Process Improvements / Delivery Excellence:

1. Identify avenues to improve project delivery parameters (e.g. productivity
   efficiency
   process
   security. etc.) by leveraging tools
   automation
   etc.
2. Understand various technical tools used in the project (third party as well as home-grown) to improve efficiency
   productivity

Skill Examples:

1. Use Domain/ Industry Knowledge to understand business requirements create POC to meet business requirements under guidance
2. Use Technology Knowledge to analyse technology based on client's specific requirement analyse and understand existing implementations work on simple technology implementations (POC) under guidance guide the developers and enable them in the implementation of same
3. Use knowledge of Architecture Concepts and Principles to provide inputs to the senior architects towards building component solutions deploy the solution as per the architecture under guidance
4. Use Tools and Principles to create low level design under guidance from the senior Architect for the given business requirements
5. Use Project Governance Framework to facilitate communication with the right stakeholders and Project Metrics to help them understand their relevance in project and to share input on project metrics with the relevant stakeholders for own area of work
6. Use Estimation and Resource Planning knowledge to help estimate and plan resources for specific modules / small projects with detailed requirements in place
7. Use Knowledge Management Tools and Techniques to participate in the knowledge management process (such as Project specific KT) consume/contribute to the knowledge management repository
8. Use knowledge of Technical Standards Documentation and Templates to understand and interpret the documents provided
9. Use Solution Structuring knowledge to understand the proposed solution provide inputs to create draft proposals/ RFP (including effort estimation scheduling resource loading etc.)

Knowledge Examples:

• Domain/ Industry Knowledge: Has basic knowledge of standard business processes within the relevant industry vertical and customer business domain
  
  
  
  1. Technology Knowledge: Has deep working knowledge on the one technology tower and gain more knowledge in Cloud and Security
  2. Estimation and Resource Planning: Has working knowledge of estimation and resource planning techniques
  3. 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)
  4. Technical Standards Documentation and Templates: Has basic knowledge of various document templates and standards (such as business blueprint design documents etc)
  5. 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