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Tier-1 brand, generic mid-level title, metro location, and broad skillset create high competition.
ML/AI plus cloud and microservices skills are moderately transferable across industries.
Multiple technical requirements but no explicit years leads to moderate shortlisting strictness.
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Support design, development, and testing of software systems and modules focusing on enhancements and new cloud-based/internet-related products.
Develop and maintain micro-services using APIs, telemetry data, and ML/AI algorithms working with structured and unstructured data.
Contribute to software deployment, automated testing, code refactoring, and documentation in collaboration with product and engineering teams.
Bachelor's degree or equivalent in Computer Science, Engineering, or related field.
Moderate experience in software development including micro-services, RESTful APIs, Agile/Lean methodologies, CI/CD, and cloud-based infrastructures (AWS, GCP, Azure).
Experience working with geo-distributed teams and full software delivery lifecycle tools (IDE, source control, test, defect management).
Workplace type: Hybrid working.
Developing subject matter expert with growing expertise in micro-services architecture, container runtimes (Kubernetes, Docker), and programming languages like Java, Python, C++, C#, JavaScript, Node.js.
Comfortable working in a fast-paced environment with multiple stakeholders, applying ML/AI algorithms to large datasets.
Familiar with Agile/Lean practices and test-driven development with a proactive approach to code quality and collaboration.