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Tier-1 brand, metro location, and broad multi-skill AI-cloud requirements increase candidate competition.
Role demands specialized ML, cloud, and distributed-systems expertise, limiting cross-industry transferability.
Multiple mandatory senior technical skills and cloud/ML requirements make shortlisting highly restrictive.
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Design, develop, test, and deploy software systems and micro-services including cloud-based tools and API products.
Develop and execute automated testing, contribute to continuous integration and software deployment across geo-distributed teams.
Work with large scale distributed systems processing structured and unstructured data using ML/AI algorithms and telemetry data.
Bachelor's degree or equivalent in Computer Science, Engineering or related field.
Seasoned experience in software development including micro-services and RESTful APIs, and working with large datasets applying ML/AI algorithms.
Strong knowledge of multiple programming languages (C/C++, C#, Java, JavaScript, Python, Node.js) and cloud architectures (AWS, GCP, Azure).
Work Experience Required: Seasoned experience working with geo-distributed teams through innovation to production phases.
Experienced in designing and building scalable, cloud-native micro-services architectures with strong expertise in APIs and container runtimes (Kubernetes, Docker).
Skilled in agile, lean practices and test-driven development with continuous delivery/DevOps experience.
Able to collaborate effectively across multiple teams globally delivering high-quality, automated, enterprise-grade solutions.