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Tier-1 brand, metro location, and broad full-stack ML/cloud skillset increase applicant competition.
Core skills in ML, cloud, and microservices are broadly transferable across industries.
Extensive mandatory cross-cloud, ML/AI, microservices, data-store, and CI/CD requirements imply strict filtering.
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Design, develop, test, and deploy software modules and cloud-based AI/microservices involving structured and unstructured data.
Accountable for writing, refactoring, automated testing, and integrating software components across distributed systems and multi-vendor infrastructures.
Collaborate with multiple teams and product owners to deliver API products and run ML/AI algorithms on telemetry data in hybrid cloud environments.
Bachelor's degree or equivalent in Computer Science, Engineering or related field.
Seasoned experience in software development including microservices, RESTful APIs, Agile/Lean, CI/CD, and large data sets with ML/AI algorithms.
Expertise in cloud architecture and services (AWS, GCP, Azure), programming languages (C/C++, C#, Java, JavaScript, Python, Node.js), containerization (Kubernetes, Docker).
Work Experience Required: Seasoned experience working with geo-distributed teams through all software development phases.
Strong capability in handling complex distributed systems and API product development within multi-cloud environments.
Experienced in Agile/Lean methodology and test-driven development with end-to-end software delivery lifecycle knowledge.
Proven ability to work effectively in hybrid/geo-distributed teams managing multiple stakeholder requirements during innovation to production phases.