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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, deploy, and support secure, scalable, cloud-native backend microservices, REST APIs, and AI-enabled applications using C#, .NET, and Python.
Develop and maintain automated CI/CD pipelines incorporating quality, security, and production readiness controls for AI/ML model lifecycle and MLOps workflows.
Implement monitoring and observability (logs, metrics, alerts) for applications and AI models and collaborate cross-functionally to ensure reliable AI-enabled solution deployments.
Minimum Requirements
Bachelor's degree in Computer Science or related field, or equivalent experience.
3–5 years of professional software engineering experience.
Strong programming skills in one or more: C#, .NET, or Python.
Experience with microservices architecture, REST APIs, cloud-native applications, relational databases, data modeling, and query optimization.
Ideal Candidate Profile
Experienced with AI/ML concepts and model lifecycle or MLOps practices to help move AI-enabled solutions from design to production.
Comfortable working in Agile/Scrum environments with cross-functional teams including architecture, product, security, platform, and operations.
Adept at writing clean, maintainable code with strong debugging and problem-solving skills to improve platform reliability through automation and collaboration.