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Strong employer brand plus generic entry-level engineering title increases applicant density.
Core ML/AI, cloud, and microservices skills are technical but broadly transferable across industries, giving medium sensitivity.
Entry-level role with broad, non-mandatory skill list and no explicit years or required certifications implies low strictness.
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Assist in designing, developing, and testing software systems and modules, including cloud-based and internet-related tools.
Develop functionality in a micro-services environment involving APIs, telemetry data, and running ML/AI algorithms on structured and unstructured data.
Support automation and integration efforts, including writing, refactoring, and reviewing code, and contributing to software deployment and documentation.
Bachelor's degree in Computer Science, Engineering, or related field.
Entry-level experience in software development, including micro-services and RESTful APIs.
Basic understanding of cloud architecture and services (AWS, GCP, Azure), container runtimes (Kubernetes, Docker), and CI/CD concepts.
Work Experience Required: Entry-level experience as specified; familiarity with Agile, Lean practices, and full software delivery lifecycle tools.
Developing subject matter expert in multiple programming languages (C/C++, Java, Python, Node.js) with knowledge of data structures and debugging.
Experience or familiarity with micro-services architecture, API development, SQL/no-SQL databases, and ML/AI algorithm application.
Capable of working effectively in geo-distributed teams and dynamic environments with multiple stakeholders.