Hybrid Senior Backend Engineer – AI & Cloud Platform

at CloudShare

• Job title: Senior Backend Engineer – AI & Cloud Platform
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Distributed Systems, Docker, Kubernetes, Node.js, Postgres, Python, Redis, SQL, Terraform
• Location requirements: Hybrid, Ramat Gan, Israel

About the role

• Senior Backend Engineer for CloudShare, focusing on AI integration into cloud-native backend systems. Responsible for design, automation, and engineering excellence across the platform.

Responsibilities

• Design and build scalable cloud-native backend services and distributed systems.
• Lead the integration of AI and LLM capabilities into production workflows, including intelligent automation and microservice-based architectures.
• Architect modern cloud infrastructures and drive platform evolution across availability, efficiency, and security.
• Develop and implement automation workflows to increase engineering velocity and reduce operational overhead.
• Contribute to infrastructure modernization initiatives, including IaC, CI/CD improvements, and GitOps adoption.
• Collaborate with Product, DevOps, and AI/data teams to deliver high-impact platform capabilities.
• Promote engineering excellence through clean code, documentation, and technical leadership.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 5+ years of hands-on backend development experience (Python preferred).
• Proven experience architecting and operating production systems on AWS (EKS, Lambda, IAM, API Gateway, S3, Step Functions, Bedrock).
• Expertise in Kubernetes (EKS preferred), Docker, and microservice architecture.
• Experience working with Infrastructure-as-Code (Terraform ideal).
• GitOps experience with ArgoCD.
• Strong understanding of relational and non-relational data models (PostgreSQL, SQL Server, Redis).
• Demonstrated experience designing or integrating AI/LLM-powered services, incl.: RAG pipelines, Model fine-tuning, Vector search / embeddings (OpenSearch preferred), LangGraph or LangChain frameworks
• Hands-on experience building automation solutions using Python or orchestration tools (n8n / Node-RED / AWS workflows).
• Proven ability to design highly available, distributed, secure, and cost-optimized systems.
• A proactive, autonomous professional with an ownership mindset and a startup-oriented working style.