We are looking for an experienced Enterprise Technology Architect with strong expertise in Advanced Embedded System Engineering, Cloud-Native Architecture, and scalable enterprise platform design.

The ideal candidate should possess deep hands-on experience in architecting end-to-end enterprise solutions on Google Cloud Platform (GCP), driving microservices-based architectures, defining enterprise security and API standards, and ensuring high-performance scalable systems.

This role demands strong technical leadership, architecture governance, and performance ownership across enterprise engineering initiatives.

Key Responsibilities :

- Architect complex end-to-end enterprise technology solutions across distributed systems and cloud-native environments.

- Define and drive scalable microservices architecture using :

1. Google Cloud Run

2. Google Kubernetes Engine (GKE)

- Lead mandatory Technical Design Meetings during sprint cycles and drive architecture governance.

- Define and standardize :

1. API Design Standards

2. Security Models

3. Performance & Scalability Patterns

4. Cloud-Native Architecture Best Practices

- Establish and govern enterprise security controls using :

1. IAM

2. IAP

3. Secret Manager

- Design and optimize :

1. Load Balancing Strategies

2. High Availability Architectures

3. Performance Optimization Patterns

- Ensure compliance with engineering quality and security tools including :

1. SonarQube

2. Blackduck

- Review Pull Requests (PRs), architecture decisions, and technical solution designs.

- Approve :

1. ADRs (Architecture Decision Records)

2. Architectural Diagrams

3. Technical Solution Designs

- Collaborate with engineering, DevOps, security, and product teams to ensure scalable and reliable platform delivery.

- Drive engineering best practices across performance, scalability, observability, and security.

GCP Technology Stack :

- Strong hands-on experience with :

1. Google Cloud Run / GKE

2. Firestore

3. BigQuery

4. API Gateway

5. IAM & IAP

6. Secret Manager

7. Cloud Load Balancing

Performance Ownership :

- Drive and ensure application performance benchmarks including :

1. Simple list pages 1.5 seconds

2. Complex data grids 4 seconds

- Hands-on experience with :

1. Google Analytics performance metrics

2. Caching strategies

- Query optimization for :

1. Firestore

2. BigQuery

Required Skills & Qualifications :

- 12+ years of experience in :

1. Enterprise Architecture

2. Advanced Embedded System Engineering

3. Cloud-Native Application Architecture

4. Distributed Systems

- Strong expertise in :

1. Microservices Architecture

2. API Design

3. Cloud Security

4. Performance Engineering

- Hands-on experience with GCP architecture and services.

- Strong understanding of :

1. Kubernetes

2. Cloud-Native Patterns

3. Enterprise Integration

4. Scalability & Reliability Engineering

- Experience driving architecture governance and technical leadership.

- Strong analytical, troubleshooting, and problem-solving capabilities.

- Excellent stakeholder management and communication skills.

Preferred Skills :

- Exposure to DevSecOps and CI/CD automation practices.

- Experience in enterprise-scale modernization or transformation programs.

- Familiarity with observability and monitoring platforms.

- Exposure to embedded platforms integrated with cloud ecosystems is an advantage.