Design, develop, and maintain scalable microservices-based applications on a major cloud provider, ensuring availability, resiliency, scalability, performance, and observability
Job Summary
Design, develop, and maintain scalable microservices-based applications on a major cloud provider, ensuring availability, resiliency, scalability, performance, and observability.
Implement context providers, adapters, and orchestration layers for reliable interactions between applications and AI models, including guardrails and safety measures for responsible AI usage.
Collaborate effectively with frontend engineers, Data Science, Applied AI, Platform, and Product teams to deliver end-to-end features and ensure secure, compliant handling of sensitive healthcare data.
Matching Summary
Design, develop, and maintain scalable microservices-based applications on a major cloud provider, ensuring availability, resiliency, scalability, performance, and observability.
Skills & Requirements
Must-have
Cloud-native development
Microservices architecture
DevOps practices
Generative AI concepts
Infrastructure as Code
CI/CD pipelines
Docker and Kubernetes
Nice-to-have
Strong architectural thinking
Systems problem-solving
Curiosity with emerging AI
Excellent debugging skills
Effective communication and collaboration
Key Requirements
5+ years building cloud-native applications
Bachelor’s or Master’s degree
Experience with AWS, Azure, or GCP
Experience with Terraform, Pulumi, or native cloud frameworks
6+ years experience with LLMs, RAG, and Agentic AI concepts