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Tier-1 brand, metro location, mid-level generalist AI/software skillset, and broad required technologies increase competition.
Core software and ML skills transfer across industries, though AI-specific experience moderately influences fit.
Multiple required technical skills and cloud/ML proficiencies without explicit years creates moderate filtering.
Support design, development, and testing of software systems including cloud-based and microservices functionality.
Develop and deploy software components working with APIs, telemetry data, and ML/AI algorithms on structured and unstructured data.
Assist with code reviews, automated testing, refactoring, and documentation in a hybrid work environment.
Bachelor's degree or equivalent in Computer Science, Engineering or related field.
Moderate level experience in software development including microservices, RESTful APIs, and working with large data sets applying ML/AI algorithms.
Familiarity with cloud architecture and services (AWS, GCP, Azure); programming skills in C/C++, C#, Java, JavaScript, Python, Node.js.
Experience working with geo-distributed teams and Agile/Lean methodologies across full software delivery lifecycle.
Developing subject matter expert with understanding of cloud services, containerization (Kubernetes, Docker), and CI/CD processes.
Experienced in building scalable distributed systems using modern programming languages and microservices architecture.
Comfortable working in a dynamic, hybrid environment collaborating with diverse teams and multiple stakeholders.