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Tier-1 brand, metro location, and broad full-stack/cloud skill requirements increase candidate competition.
Strong IoT, embedded and cloud platform focus reduces cross-industry transferability.
Requires specific cloud, Java/Python, IoT platform and leadership experience, so hiring filters will be strict.
Lead design and delivery of scalable cloud-native and full-stack platforms for IoT and edge-cloud solutions using Java and distributed microservices.
Drive best practices in DevOps, CI/CD, Agile and cloud platform engineering while guiding multiple engineering teams and collaborating with cross-functional global stakeholders.
Develop and oversee backend and frontend systems including APIs, event-driven data pipelines, and user interfaces, ensuring operational excellence and high-quality engineering outcomes.
Bachelor’s or Master’s degree in Computer Science (exact eligibility not fully explicit).
Strong expertise in Java and Python backend development, modern frontend frameworks, and cloud platforms (AWS/Azure/GCP).
Experience in designing distributed microservices architectures and scalable cloud solutions.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in technical leadership roles for cloud-native IoT or edge-cloud platform development with full-stack engineering ownership.
Comfortable working in Agile and fast-paced product development environments, managing multiple priorities and collaborating globally with AI, embedded, and cloud teams.
Skilled in DevOps practices including CI/CD pipelines, containerization, code and architecture reviews, and mentoring development teams.