Solution Architect

3 days ago

Pune, Maharashtra, India Ishan Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Summary:

Solution Architect with deep proficient knowledge in Google Cloud Platform (GCP) and AI services to lead the design and deployment of intelligent, scalable, and secure cloud solutions. You'll play a pivotal role in shaping our cloud and AI strategy, bridging business needs with technical execution and driving innovation across the organization.

Key Responsibilities:

  • Architect and implement end-to-end solutions using GCP services, with a focus on AI and machine learning capabilities.
  • Collaborate with stakeholders to gather requirements and translate them into scalable, intelligent architectures.
  • Lead cloud migration and modernization initiatives, integrating AI-driven components where applicable.
  • Design and deploy models using GCP AI tools such as Vertex AI, BigQuery & Custom model development.
  • Define best practices for cloud security, scalability, and cost optimization.
  • Create architectural diagrams, documentation, and technical roadmaps.
  • Provide technical leadership and mentorship to development and data science teams.
  • Conduct architecture reviews and ensure alignment with enterprise standards.
  • Stay current with GCP updates, AI trends, and emerging technologies.

Required Skills & Qualifications:

  • Bachelor's or master's degree in computer science, Engineering, or related field.
  • 7+ years of experience in software development and architecture roles.
  • 3+ years of hands-on experience with GCP services (Compute Engine, Cloud Functions, BigQuery, Cloud Storage, etc.).
  • Proven experience with GCP AI/ML services (Vertex AI, AutoML, BigQuery ML, etc.).
  • Strong understanding of cloud-native design, microservices, and container orchestration (Kubernetes, GKE).
  • Experience with CI/CD pipelines and DevOps practices.
  • Excellent communication and stakeholder engagement skills.
  • Ability to balance technical depth with business strategy.

Preferred Qualifications:

  • GCP Professional Cloud Architect or Professional Machine Learning Engineer certification.
  • Experience with hybrid and multi-cloud environments.
  • Familiarity with infrastructure-as-code tools (Terraform, Deployment Manager).
  • Background in data architecture, model lifecycle management, and MLOps.

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