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Tier‑1 brand plus visible SDE title and mid-level AI focus increases candidate competition.
Core ML, cloud, and microservices skills transfer across industries, though AI specialization raises moderate fit sensitivity.
Broad technical expectations but no explicit years or mandatory certifications, yielding moderate shortlisting strictness.
Design, develop, and test software systems, modules, or applications including cloud-based tools and microservices.
Support and contribute to API product development, applying ML/AI algorithms to structured and unstructured data.
Collaborate on software deployment, automate integration processes, and maintain technical and user documentation.
Bachelor's degree in Computer Science, Engineering or related field.
Moderate experience in software development including microservices, RESTful APIs, Agile/Lean methodologies, and software lifecycle tools.
Working knowledge of cloud architectures (AWS, GCP, Azure) and container runtimes (Kubernetes, Docker).
Work Experience Required: Moderate level experience with geo-distributed teams and multiple stakeholder collaboration.
Candidate with developing to moderate expertise in multiple programming languages (Java, Python, C/C++, C#, JavaScript, Node.js) and data stores (SQL, no-SQL).
Comfortable participating in all phases from prototyping to production in a multi-vendor infrastructure environment.
Experienced in working within Agile, CI/CD, DevOps practices on hybrid cloud and distributed environments, showing analytical and debugging skills.