We are looking for an experienced - Technical Architect - Python + GCP- to design and deliver scalable, secure, and high-performance cloud-native applications.

The ideal candidate should have strong hands-on expertise in - Python and Google Cloud Platform- , along with proven experience in architecture, system design, and technical leadership.

Key Responsibilities :

- Define and own - technical architecture and solution design- for cloud-native applications.

- Design scalable, highly available, secure, and resilient solutions on - GCP- .

- Lead development using - Python, REST APIs, Microservices, and distributed systems- .

- Evaluate technical requirements and translate them into scalable architecture and implementation approaches.

- Design and integrate applications with - GCP services, APIs, databases, messaging, and third-party systems- .

- Provide technical leadership to development teams and conduct - architecture and code reviews- .

- Drive best practices around performance, scalability, security, reliability, and maintainability.

- Troubleshoot complex technical issues and provide architectural solutions.

- Collaborate with Product, Engineering, DevOps, Security, and other stakeholders.

- Guide POCs and evaluate new technologies, frameworks, and cloud services.

Required Skills :

- 10+ years of software development experience- , with strong experience in technical architecture.

- Extensive hands-on experience with - Python- .

- Strong expertise in - Google Cloud Platform (GCP)- and cloud-native architecture.

- Experience with - Microservices, REST APIs, distributed systems, and event-driven architectures- .

- Strong knowledge of GCP services such as - Compute Engine, GKE, Cloud Run, Cloud Functions, Cloud Storage, Pub/Sub, Cloud SQL, BigQuery- , or similar.

- Experience with - Docker and Kubernetes/GKE- .

- Strong understanding of - CI/CD, DevOps, monitoring, security, and cloud automation- .

- Experience with relational and NoSQL databases.

- Strong system design, problem-solving, and architectural decision-making skills.

- Experience leading and mentoring engineering teams.

Preferred :

- Experience with - GenAI/LLM, data engineering, or AI/ML workloads on GCP- .

- Google Cloud certifications such as - Professional Cloud Architect- or equivalent.

- Experience with - Terraform / Infrastructure as Code- .

- Experience designing large-scale enterprise or SaaS platforms