Senior Backend Engineer - AI & Cloud Platform

About us CloudShare is a B2B cloud computing company that empowers software organizations to deliver immersive, hands-on experiences for sales demos, POCs, and customer training. Trusted by leading global brands such as Palo Alto Networks, Atlassian, Check Point, Dell, and many more, our platform accelerates sales cycles, boosts engagement, and improves user adoption. With a dynamic team across Israel, the U.S., and Europe, and backed by Bow River Capital, we’re growing fast! Join us to shape the future of virtual experiences. We seek a Senior Backend Cloud Engineer to take a pivotal role in our R&D department. This position is for a hands-on technical expert passionate about building scalable cloud-native backend systems and leveraging modern AI/LLM capabilities. You will drive development across the entire lifecycle - from design to production - while embedding intelligent features, automation, and high engineering standards.

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. Nice-to-Haves Experience with observability frameworks (OpenTelemetry, Prometheus, CloudWatch). Security/compliance knowledge (SOC2, IAM governance, FinOps awareness). Experience building internal tooling, SDKs, or AI agent–style micro workflows. Exposure to hybrid architectures or platform migration projects.