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Tier-1 employer plus broad generalist backend-cloud requirements increase applicant density.
Backend, cloud, and microservices skills are highly transferable across industries.
Explicit 7+ years and mandatory cloud, IaC, and stack requirements raise filter rigidity.
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Design, develop, and maintain AI-enabled, cloud-native end-to-end software solutions including user interfaces, APIs, databases, and deployment processes.
Lead the integration of AI/ML models into applications and optimize cloud infrastructure for performance, security, and cost-efficiency using tools like Terraform and Azure.
Guide and mentor junior developers while collaborating with agile teams to ensure adherence to engineering best practices, agile methodologies, and cloud security standards.
7+ years of software engineering experience including enterprise microservices and REST APIs.
5+ years programming experience in Python or Java.
Experience with public cloud platforms preferably Azure and infrastructure management using IaC tools like Terraform.
Degree in IT, Computer Science, Business, or equivalent experience.
Experienced in designing scalable, resilient REST APIs using frameworks such as Springboot, FastAPI, or Flask within microservice architectures.
Proficient with AI-assisted development tools (e.g., GitHub Copilot) and skilled in AI integration into software solutions.
Familiar with cloud-native architectures, serverless computing, CI/CD pipelines (especially using GitHub Actions and AKS), and agile development environments.