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Tier-1 brand, broad technical requirements, and likely metro hiring increase applicant competition.
Requires ML, cloud, and data experience so software candidates are partially transferable but domain-sensitive.
Multiple required technical skills, cloud and ML prerequisites but no strict years requirement.
Assist in design, development, and testing of software modules/applications, including cloud-based tools and micro-services.
Build prototypes for multi-vendor infrastructure and demonstrate solutions internally and to clients.
Develop functionality using APIs, telemetry data, and ML/AI algorithms on structured and unstructured data environments.
Bachelor's degree in Computer Science, Engineering or related field.
Entry level experience in software development, micro-services, RESTful APIs, and working with geo-distributed teams.
Basic understanding of cloud services (AWS, GCP, Azure), container runtimes (Kubernetes, Docker), and databases (SQL, no-SQL).
Work Experience Required: Entry level experience; Notice Period: Not explicitly mentioned in the JD.
Developing subject matter expert in multiple programming languages including Java, Python, C/C++, C#, JavaScript, and Node.js.
Familiar with Agile and Lean methodologies, CI/CD tools, and test-driven development practices.
Comfortable working in dynamic, hybrid environments with diverse global teams and multiple stakeholders.