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Backend Developer, Gen AI

🔥 21 minutes ago

🇷🇴 Romania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

Where this job comes from

Posted on AllCloud's careers page, not through a job board

First seen by Remote Rocketship 21 minutes ago

Logo of AllCloud

AllCloud

201 - 500 employees

Founded 2014

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

AllCloud is a cloud consulting company that provides tailored AWS and Salesforce solutions to optimize operations and accelerate innovation for businesses. They specialize in cloud platforms, data and AI, and managed services, helping companies in various industries including financial services, retail, and technology. As a recognized AWS Premier Consulting Partner and Salesforce Consulting Partner, AllCloud offers expertise in cloud transformation, Customer 360 insights, and scalable cloud infrastructures.

📋 Description

• Design, develop, and deploy backend services that power core products • Develop and maintain backend services and APIs using Python • Design and implement event-driven workflows using AWS Step Functions to orchestrate business processes • Integrate and leverage Large Language Models with AWS Bedrock to build AI-powered features • Utilize and manage AWS Lambda, API Gateway, DynamoDB, Aurora/Postgres, and S3 • Design and build large-scale, high-availability systems with performance, reliability, and security • Work with microservices and containerized environments using Docker and Kubernetes/EKS • Collaborate with front-end developers, product managers, and data scientists to deliver end-to-end solutions

🎯 Requirements

• 3-5 years in backend software engineering • At least 2 years of hands-on experience with AWS services • Python proficiency for backend development • Hands-on expertise with AWS Step Functions and event-driven architecture • Strong knowledge of AWS Lambda, API Gateway, DynamoDB, Aurora/Postgres, and S3 • Proven ability to design and implement large-scale, high-availability systems • Experience with microservices and containerized environments using Docker and Kubernetes/EKS • Experience integrating LLMs with AWS Bedrock • Practical experience with Retrieval-Augmented Generation (RAG) frameworks • Experience with Kafka or other event-streaming systems • Proficiency with AWS observability tools such as CloudWatch and X-Ray • Background in building complex AI-driven workflows that combine structured logic with LLM reasoning • Proven track record in production-grade systems within financial, enterprise, or other regulated industries

🏖️ Benefits

• Competitive salaries • Bonus incentives • Benefits • Flexible hours • Mentoring • Learning and personal development opportunities

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