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Senior, specialized cloud/AI architecture role in Pune reduces applicant density.
Requires deep cloud, distributed systems and regulated enterprise experience, moderately transferable across industries.
Explicit 12+ years plus mandatory cloud, Kubernetes, microservices, AI and language skills create strict filters.
Lead design and delivery of scalable, secure, cloud-native enterprise platforms and AI-driven solutions.
Define end-to-end solution architecture including microservices, event-driven systems, APIs, and cloud platforms (AWS, GCP, Azure).
Drive cloud transformation, AI integration (LLM, RAG, intelligent automation), and establish engineering standards and best practices.
12+ years in software engineering with experience in large-scale enterprise applications.
Expertise in solution architecture, distributed systems, microservices, API-first design, and cloud-native platforms.
Hands-on experience with AWS, GCP, or Azure, Kubernetes, Docker, CI/CD, Infrastructure as Code.
Proficiency in Java and/or Python; effective stakeholder management and communication skills.
Experienced leader comfortable with hands-on technical design and guiding engineering teams through complex cloud and AI solution deliveries.
Background in financial services, asset management, or regulated enterprises preferred.
Strong understanding of AI solution architectures including ethical use of data and AI, capable of influencing technical strategy across teams.