Job Title: Senior Principal Solution Architect (Multi-Cloud & AI)
Role Overview
We are seeking a visionary Senior Solution Architect to serve as the technical North Star for our most ambitious initiatives. This is a high-impact role responsible for designing resilient, scalable, and secure environments across a multi-cloud ecosystem (Azure, AWS, and GCP). You will bridge the gap between traditional networking, modern application development, and the rapidly evolving field of AI integration.
Key Responsibilities
- Multi-Cloud Strategy: Design and implement cross-cloud architectures that optimize performance, redundancy, and cost-efficiency.
- AI/ML Integration: Build the "scaffolding" for AI initiatives, ensuring data pipelines and model deployments are architecturally sound and scalable.
- Hybrid Networking: Architect complex software-defined networks (SDN) and secure connectivity between on-prem, Azure, AWS, and GCP environments.
- Modernization & Apps: Lead the transition from legacy monoliths to microservices, containerization (Kubernetes), and serverless patterns.
- Dedicated Network zone: Manage & define dedicated network landing zone for cloud workload to secure enterprise data & services
- Technical Governance: Establish blueprints, guardrails, and "Golden Paths" for engineering teams to ensure consistency across the stack.
- Stakeholder Influence: Act as a translator between complex technical requirements and business outcomes for C-suite and executive leadership.
- Technology Evaluation: Evaluate and recommend new technologies, platforms, and services to enhance the company's IT infrastructure.
- Documentation: Create and maintain detailed architectural diagrams, policies, and documentation.
Required Qualifications
- Experience: 10+ years in IT infrastructure/ software engineering, with 5+ years specifically in a Senior/Principal Architect role.
- Cloud Mastery: Professional-level certifications in at least two of the big three (e.g., AWS Certified Solutions Architect Professional, Azure Solutions Architect Expert, or GCP Professional Cloud Architect).
- Networking Depth: Deep understanding of VPC/ VNet peering, Transit Gateways, Load Balancing, DNS, and Zero Trust security models.
- AI Infrastructure: Proven experience designing infrastructure to support LLMs, RAG (Retrieval-Augmented Generation), or large-scale data processing (Spark, Snowflake, etc.).
- DevOps Culture: Strong command of Infrastructure as Code (Terraform, Pulumi, or Bicep) and CI/CD orchestration.
Preferred Skills
- Experience with FinOps (Cloud cost optimization and management).
- Familiarity with regulatory frameworks (SOC2, HIPAA, GDPR) in cloud environments.
- Background in application development (Python, Go, or Java) to better support developer experience will be added advantage.