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.
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