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AI-focused mid-level engineering role at a known services brand attracts moderate applicant density and competition.
Skills (cloud, microservices, APIs, ML) are reasonably transferable across industries but require technical domain experience.
Moderate due to multiple required technical skills and platform familiarity but no explicit years or certifications mandated.
Support design, development, testing, and deployment of software systems and modules, focusing on cloud-based and micro-services environments.
Develop functionality involving APIs, telemetry data, and applying ML/AI algorithms on structured and unstructured data.
Contribute to code writing, automated testing execution, code review, and technical documentation maintenance.
Bachelor's degree or equivalent in Computer Science, Engineering, or related field.
Moderate software development experience including micro-services and RESTful API development, and agile/lean methodologies.
Experience with cloud architecture and services (AWS, GCP, Azure) and programming languages like C/C++, C#, Java, Python, JavaScript, Node.js.
Work Experience Required: Moderate level experience working with geo-distributed teams across software delivery lifecycle phases.
Developing subject matter expertise in cloud architectures, container runtimes (Kubernetes, Docker), data stores (SQL, no-SQL), and CI/CD tools.
Comfortable working with large datasets and applying ML/AI algorithms in software solutions.
Experienced in agile and lean practices, test-driven development, and collaborating in multi-stakeholder, fast-paced environments.