Cloud & Infrastructure Engineer
- India
نُشرت قبل 3 أيام
عن الوظيفة
Experience: 8-10 years
Location: Pune
Role Overview:
Own the end-to-end technical design and implementation of enterprise-grade AI solutions. The role requires broad technical depth across application, hardware, platform, infrastructure, networking, security, scalability, and customer requirements, with strong leadership and solution-design capabilities.
Key Responsibilities:
Ability to co-work with Agentic AI model, Optimizing processes agnatically [agentic optimizing engineering]
Own end-to-end technical architecture and implementation of AI-based systems
Design solutions across application, hardware, platform, network, infrastructure, and other relevant tiers
Perform capacity planning and build reference architectures
Make architecture and technology decisions and evaluate trade-offs
Coordinate with infrastructure engineers, Field/Deployment Engineers, ML Engineers, CSI/Cluster Administrators, developers, and other technical roles
Collaborate closely with customers to understand business and technical problems and translate them into enterprise-grade solutions
Identify functional and non-functional requirements, including requirements that may not be explicitly stated by the customer
Assess existing technical debt and understand the current environment before designing the target solution
Conduct Proofs of Technology (POTs) and Proofs of Concept (POCs) where technology compatibility or suitability needs to be validated
Evaluate compatibility across multiple technology stacks
Design solutions considering enterprise-grade parameters such as security, scalability, reliability, and other relevant quality attributes
Guide technical teams and provide architectural direction throughout implementation
Must be available for on-call support as needed
Ability to collaborate effectively with Agentic AI models
Capability to optimize repetitive processes and workflows using agentic/autonomous engineering approaches
Required Skills:
Strong enterprise AI solution architecture experience
Broad understanding across AI applications, infrastructure, platforms, hardware, networking, and deployment environments
Strong capacity planning and reference-architecture skills
Experience with POCs/POTs and technology evaluation
Strong understanding of enterprise-grade security, scalability, and reliability requirements
Ability to understand technical debt and existing architecture before proposing changes
Strong customer-facing and stakeholder-management capabilities
Ability to coordinate and technically guide multiple engineering disciplines
Preferred Experience:
Experience leading or coordinating multiple engineering teams
Experience designing enterprise-grade AI platforms and solutions
Exposure to complex customer environments and technology stacks
Location: Pune
Role Overview:
Own the end-to-end technical design and implementation of enterprise-grade AI solutions. The role requires broad technical depth across application, hardware, platform, infrastructure, networking, security, scalability, and customer requirements, with strong leadership and solution-design capabilities.
Key Responsibilities:
Ability to co-work with Agentic AI model, Optimizing processes agnatically [agentic optimizing engineering]
Own end-to-end technical architecture and implementation of AI-based systems
Design solutions across application, hardware, platform, network, infrastructure, and other relevant tiers
Perform capacity planning and build reference architectures
Make architecture and technology decisions and evaluate trade-offs
Coordinate with infrastructure engineers, Field/Deployment Engineers, ML Engineers, CSI/Cluster Administrators, developers, and other technical roles
Collaborate closely with customers to understand business and technical problems and translate them into enterprise-grade solutions
Identify functional and non-functional requirements, including requirements that may not be explicitly stated by the customer
Assess existing technical debt and understand the current environment before designing the target solution
Conduct Proofs of Technology (POTs) and Proofs of Concept (POCs) where technology compatibility or suitability needs to be validated
Evaluate compatibility across multiple technology stacks
Design solutions considering enterprise-grade parameters such as security, scalability, reliability, and other relevant quality attributes
Guide technical teams and provide architectural direction throughout implementation
Must be available for on-call support as needed
Ability to collaborate effectively with Agentic AI models
Capability to optimize repetitive processes and workflows using agentic/autonomous engineering approaches
Required Skills:
Strong enterprise AI solution architecture experience
Broad understanding across AI applications, infrastructure, platforms, hardware, networking, and deployment environments
Strong capacity planning and reference-architecture skills
Experience with POCs/POTs and technology evaluation
Strong understanding of enterprise-grade security, scalability, and reliability requirements
Ability to understand technical debt and existing architecture before proposing changes
Strong customer-facing and stakeholder-management capabilities
Ability to coordinate and technically guide multiple engineering disciplines
Preferred Experience:
Experience leading or coordinating multiple engineering teams
Experience designing enterprise-grade AI platforms and solutions
Exposure to complex customer environments and technology stacks