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Tier-1 brand, common engineering title, metro location, and broad full-stack/AI skillset increase applicant density.
Skills in software engineering, cloud, and ML are transferable across industries but expect some AI domain preference.
Moderate technical breadth required but no explicit years or niche certification demanded.
Support design, development, and testing of software systems including cloud-based, micro-services, and AI/ML algorithm applications.
Develop functionality in a micro-services environment involving APIs, telemetry data, and structured/unstructured data.
Contribute to code writing, automated testing, software deployment, and collaborate with product teams on software delivery.
Bachelor's degree or equivalent in Computer Science, Engineering, or related field.
Moderate experience in software development, including micro-services, RESTful APIs, and Agile/Lean methodologies.
Understanding of cloud platforms (AWS, GCP, Azure), programming languages (C/C++, C#, Java, JavaScript, Python, Node.js), and databases (SQL, NoSQL).
Work Experience Required: Moderate level experience with geo-distributed teams and use of software delivery lifecycle tools.
Developer with moderate experience across full software delivery lifecycle in Agile/Lean environments.
Familiarity with cloud architecture, container runtime (Kubernetes, Docker), and CI/CD concepts.
Experience working in multi-stakeholder, geo-distributed teams handling large data sets and ML/AI algorithm application.