Tech S And T-Cloud Enginering Specialist-API-ISR-Manager-GDSF02

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Job Title: Cloud Engineering Manager – API Job Summary: We are seeking a highly experienced Cloud Engineering Manager – API, Full Stack & AI/ML with 12+ years of strong experience in cloud engineering, enterprise application development, API-led architecture, Full Stack development, and AI/ML solution delivery across multi-cloud environments. The role focuses on leading the design, development, and modernization of cloud-native applications, enterprise API ecosystems, and AI-powered business solutions to drive digital transformation, innovation, and operational excellence for enterprise clients. The ideal candidate will possess deep technical expertise combined with strong consulting and stakeholder management capabilities, with the ability to lead large engineering teams, define technology roadmaps, drive AI/ML adoption, and deliver scalable cloud and API solutions across complex enterprise landscapes.   Key Responsibilities:

Lead the architecture, design, development, and modernization of cloud-native applications, enterprise API platforms, and AI-powered solutions across Azure, AWS, and GCP environments. Define and execute API-first, cloud-native, and platform engineering strategies aligned with enterprise digital transformation objectives. Establish engineering standards, governance frameworks, architecture best practices, and reusable technology accelerators across application development initiatives. Drive adoption of modern application architectures including microservices, event-driven systems, containerized platforms, and serverless technologies. Lead full-stack application development using modern frontend and backend frameworks with Python as the primary development language. Strong competency in enterprise API design, development, integration, lifecycle management, security, and governance using API Management platforms. Drive implementation of enterprise integration solutions leveraging REST APIs, GraphQL, event streaming, and hybrid cloud integration patterns. Lead development and operationalization of AI/ML, Generative AI, Large Language Models (LLMs), RAG architectures, AI Agents, and intelligent automation solutions. Collaborate with data science, cloud, platform, and business teams to integrate AI capabilities into enterprise applications and business processes. Define AI engineering best practices including Responsible AI, MLOps, security, observability, governance, and lifecycle management. Drive cloud application modernization initiatives utilizing Kubernetes, Containers, DevSecOps, Platform Engineering, and Infrastructure as Code. Lead Proof of Concepts (PoCs), innovation initiatives, solution accelerators, and technology assessments for Cloud, API, and AI transformation programs. Develop business cases, executive dashboards, technology roadmaps, and solution recommendations for client engagements. Collaborate with Architecture, Security, Data, DevOps, and Platform teams to align technology initiatives with enterprise governance and operational objectives. Support pre-sales opportunities, solutioning workshops, RFP responses, technical proposals, and strategic consulting engagements.

12+ years of experience in Cloud Engineering, Enterprise Application Development, API Engineering, Full Stack Development, and Technology Delivery. 5+ years of experience leading engineering teams, architecture programs, and large-scale cloud transformation initiatives. Strong understanding of cloud-native architecture principles including microservices, serverless computing, event-driven architecture, and