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Strong Tier-1 brand, metro location, and broad AI/cloud skill requirements increase competition.
Role needs ML/AI and cloud engineering experience, transferable but requires domain-specific expertise.
No explicit years but mandates seasoned ML, cloud, and microservices skills, creating moderate filtering.
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Design, develop, and test software modules and applications including cloud-based tools and micro-services.
Develop and integrate APIs, process telemetry and large datasets, and implement ML/AI algorithms on structured and unstructured data.
Lead code development, automated testing, deployment, refactoring, and collaborate across multi-vendor infrastructure and distributed teams.
Bachelor's degree or equivalent in Computer Science, Engineering, or related field.
Seasoned experience in software development, including micro-services, RESTful APIs, and cloud-based infrastructure and deployments.
Proficiency in multiple public clouds (AWS, GCP, Azure) and programming languages (C/C++, C#, Java, JavaScript, Python, Node.js).
Work Experience Required: Seasoned experience working with geo-distributed teams and software delivery lifecycle tools in Agile/Lean environments.
Experienced in developing large scale distributed systems with microservices and API product development focus.
Comfortable working in dynamic, fast-paced, geo-distributed teams with a strong analytical and debugging mindset.
Familiar with full software delivery lifecycle tools, CI/CD, container runtime (Kubernetes, Docker), SQL/no-SQL data stores, and applying ML/AI algorithms on large data sets.