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Strong Tier-1 brand and broad, generalist AI role attract many entry-level applicants.
Core software and ML skills are broadly transferable across industries.
Degree plus baseline cloud, programming, and microservices skills required, moderate screening for fundamentals.
Assist in designing, developing, and testing software modules and applications including cloud-based tools and AI/ML algorithm integrations.
Develop and prototype micro-services functionality, work with APIs, telemetry data, and both structured and unstructured data.
Support software deployment and integration activities, maintain technical documentation, and collaborate with product teams under detailed instructions.
Bachelor's degree or equivalent in Computer Science, Engineering, or related field.
Entry level experience in software development including micro-services, RESTful APIs, Agile/Lean methodologies, CI/CD, and full SDLC tools.
Basic understanding of cloud architectures (AWS, GCP, Azure) and container runtimes like Kubernetes and Docker.
Work Experience Required: Entry level experience working with geo-distributed teams and software delivery lifecycle tools.
Comfortable working under detailed directions in a multi-stakeholder environment involving innovation and production phases.
Developing proficiency in programming languages like C/C++, Java, Python, JavaScript, Node.js and familiarity with various databases (SQL, NoSQL).
Familiar with cloud infrastructure, micro-services architecture, and automation in hybrid working environments.