10 - 18 years

40 - 45 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Summary:

We are looking for a visionary and hands-on Cloud Architect to join our Enterprise Architecture team. This role requires deep expertise in cloud-native architecture, AI-native infrastructure, and multi-cloud design. You will lead cloud transformation journeys, architect scalable and secure platforms, and integrate AI capabilities into enterprise ecosystems. Ideal for architects who thrive in fast-paced, customer-facing roles with a strong focus on innovation, governance, and modernization.

Key Responsibilities:

  • Design and implement cloud-native architectures using AWS, Azure, or GCP.
  • Architect and integrate AI-native services (e.g., Vertex AI, Azure OpenAI, AWS SageMaker) into enterprise workloads.
  • Define cloud adoption strategies, migration roadmaps, and cost-optimization frameworks.
  • Ensure cloud security, compliance, and governance across infrastructure and services.
  • Enable multi-cloud and hybrid-cloud deployment models, including data and service mesh architectures.
  • Support pre-sales and proposal activities with architecture blueprints and solution demos.
  • Mentor DevOps, SRE, and development teams on cloud best practices and AI service integration.
  • Establish cloud observability strategies (monitoring, logging, alerting, performance tuning).

Required Skills & Experience:

  • Deep expertise in one or more cloud platforms (AWS, Azure, GCP) with certifications.
  • Experience with Kubernetes, Docker, Terraform, and serverless architecture.
  • Hands-on integration of AI/ML services in cloud environments.
  • Knowledge of CI/CD, IaC, and DevSecOps practices.
  • Understanding of cloud cost modeling, budgeting, and FinOps.
  • Track record of leading large-scale cloud migration and transformation initiatives.
  • Familiarity with security, IAM, and compliance standards in cloud ecosystems.
  • 10+ years in architecture roles with 4+ years in cloud solution architecture.

Qualifications:

  • Bachelors or Masters degree in Computer Science, Engineering, or related field.
  • Preferred certifications: AWS Certified Solutions Architect Professional, Microsoft Azure Solutions Architect Expert, Google Professional Cloud Architect, and relevant AI/ML certifications.

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Ascendion Engineering

Engineering Services

San Jose

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