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Strong employer brand plus a mid-level generalist backend role with popular tech stack increases applicant competition.
Core cloud, backend, and AI engineering skills are transferable, though Agentic AI and healthcare context add moderate domain specificity.
Multiple explicit years and many mandatory technologies (Java, Python, Azure, Terraform, AKS, CI/CD) create strict filters.
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Design, develop, and maintain scalable, secure enterprise applications and AI-powered microservices on Azure cloud using Java (Spring Boot), Python, and React/Angular/Next.js.
Lead technical initiatives including CI/CD pipeline implementation (GitHub Actions), infrastructure provisioning (Terraform), containerized deployments (Docker, Kubernetes AKS), and AI solutions with Agentic AI and RAG pipelines.
Own end-to-end delivery by collaborating with cross-functional teams to translate business requirements into technical solutions, ensuring performance, security, and operational readiness.
Graduate degree or equivalent experience.
6+ years of experience in API design, service integration, and backend engineering.
4+ years of hands-on Azure cloud experience building and operating cloud-native applications.
Experience implementing CI/CD pipelines with GitHub Actions and infrastructure provisioning with Terraform.
Experienced in building and scaling microservices-based, distributed architectures with focus on resilience, latency, and throughput on Azure.
Proven leadership in technical initiatives, architecture decisions, mentoring engineers, and cross-team collaboration in Agile environments.
Strong expertise with AI-enabled systems, including Agentic AI architectures, LLM orchestration, prompt engineering, and AI Product Development Lifecycle (PDLC).