Cloud Architect

Sykatiya Technologies Pvt Ltd; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

AI & Cloud Transformation Practice

Enterprise-scale cloud modernization

Collaboration with top architects

Tech strategy leadership

Mentor cloud engineering teams

Job summary

Sykatiya Technologies Pvt Ltd is seeking an experienced Cloud Architect in Bengaluru to lead enterprise cloud transformation initiatives, design scalable cloud-native architectures, and engage directly with customers to deliver innovative business solutions.

The role combines deep technical expertise with consulting, solution architecture, and leadership responsibilities, guiding cloud migration, governance, and platform engineering across AWS, Azure, and GCP.

Qualifications

• 8–15 years of experience in Cloud Architecture or Enterprise Solution Architecture.
• Strong experience designing enterprise cloud solutions on AWS, Azure, and Google Cloud Platform.
• Experience designing cloud infrastructure for AI/ML, HPC, or engineering workloads.
• Understanding of GPU/CPU/NPU/FPGA/ASIC and AI accelerator infrastructure requirements.
• Experience deploying cloud-native platforms for compute-intensive and data-intensive applications.
• Exposure to cloud environments supporting AI model training, inference, simulation, validation, and large-scale data processing.
• Proven experience leading cloud migration and modernization projects.
• Strong customer-facing consulting and solution architecture experience.
• Experience designing highly available, scalable, and secure cloud platforms.
• Expertise in Kubernetes, Docker, and Infrastructure as Code.

Responsibilities

• Design end-to-end enterprise cloud architectures across AWS, Azure, and Google Cloud Platform (GCP).
• Lead cloud migration, modernization, and digital transformation programs.
• Define cloud adoption strategies, landing zones, governance, and best practices.
• Design secure, highly available, scalable, and cost-optimized cloud solutions.
• Collaborate with AI Architects to build AI-ready cloud platforms and modern data ecosystems.
• Lead customer workshops, architecture reviews, technical assessments, and discovery sessions.
• Provide technical leadership to Cloud Engineers, DevOps Engineers, Platform Engineers, and SRE teams.
• Drive Infrastructure as Code (IaC), DevSecOps, automation, and platform engineering initiatives.
• Support pre-sales activities, solution proposals, RFP/RFI responses, effort estimation, and customer presentations.
• Define cloud security, networking, disaster recovery, business continuity, and compliance strategies.
• Stay updated on emerging cloud technologies, FinOps, and cloud-native best practices.

Skills

Cloud Architecture

Enterprise Solution Architecture

IaC

Customer-facing consulting

Tools

Kubernetes

Docker

Job description

We are building a next-generation AI Transformation Practice to help enterprises accelerate their digital transformation through Cloud, Artificial Intelligence, Data, and Modern Application technologies.

We are seeking an experienced Cloud Architect to lead enterprise cloud transformation initiatives, design scalable cloud-native architectures, and engage directly with customers to deliver innovative business solutions. This role combines deep technical expertise with consulting, solution architecture, and leadership responsibilities.

What We Offer

• Opportunity to build a world-class AI & Cloud Transformation Practice from the ground up.
• Work on enterprise-scale cloud modernization and AI transformation initiatives.
• Collaborate with leading architects, engineers, and business leaders.
• Drive technology strategy and influence customer success.
• Lead and mentor high-performing cloud engineering teams.

Fast-paced, innovation-driven environment with significant career growth opportunities.

Key Responsibilities

• Design end-to-end enterprise cloud architectures across AWS, Azure, and Google Cloud Platform (GCP).
• Lead cloud migration, modernization, and digital transformation programs.
• Define cloud adoption strategies, landing zones, governance, and best practices.
• Design secure, highly available, scalable, and cost-optimized cloud solutions.
• Collaborate with AI Architects to build AI-ready cloud platforms and modern data ecosystems.
• Lead customer workshops, architecture reviews, technical assessments, and discovery sessions.
• Provide technical leadership to Cloud Engineers, DevOps Engineers, Platform Engineers, and SRE teams.
• Drive Infrastructure as Code (IaC), DevSecOps, automation, and platform engineering initiatives.
• Support pre-sales activities, solution proposals, RFP/RFI responses, effort estimation, and customer presentations.
• Define cloud security, networking, disaster recovery, business continuity, and compliance strategies.
• Stay updated on emerging cloud technologies, FinOps, and cloud-native best practices.

Technical Skills

• 8–15 years of experience in Cloud Architecture, Infrastructure, or Enterprise Solution Architecture.
• Strong experience designing enterprise cloud solutions on AWS, Azure, and/or Google Cloud Platform.
• Experience designing cloud infrastructure for EDA, AI/ML, HPC, or engineering workloads.
• Understanding of GPU, CPU, NPU, FPGA, ASIC, and AI Accelerator infrastructure requirements.
• Experience deploying cloud-native platforms for compute-intensive and data-intensive applications.
• Exposure to cloud environments supporting AI model training, inference, simulation, validation, and large-scale data processing.
• Proven experience leading cloud migration and modernization projects.
• Strong customer-facing consulting and solution architecture experience.
• Experience designing highly available, scalable, and secure cloud platforms.
• Expertise in Kubernetes, Docker, and Infrastructure as Code.
• Strong understanding of networking, security, identity management, and cloud governance.
• Experience mentoring technical teams and driving architecture decisions.
• Ability to work closely with AI Architects, Platform Engineers, and Semiconductor engineering teams to deliver enterprise AI infrastructure.
• Excellent communication, stakeholder management, and presentation skills.