Senior Cloud Native Developer (Python & AI)

Description

We are looking for a Senior Cloud Native Developer passionate about building scalable, resilient, and observable cloud-native applications with AI at the core. The ideal candidate combines deep Python expertise with hands-on cloud engineering experience and the ability to design and deliver AI-powered solutions. Responsibilities Design, implement, and deploy cloud-native solutions using Python, with a focus on scalability, security, performance, and containerization or serverless architectures Design managed database solutions for efficient data management Implement observability through monitoring and logging Apply Infrastructure as Code principles to automate cloud infrastructure management and provisioning Drive continuous integration and deployment practices for rapid and automated application delivery Design and build AI-integrated solutions, including LLM-based applications, RAG pipelines, and AI agents Requirements 3+ years of hands-on experience in software development with a strong emphasis on Python Proven experience designing, developing, and deploying microservices applications Strong knowledge of cloud-native principles and hands-on experience with cloud services, including containerization and serverless computing Deep Experience with cloud platform (Azure, AWS, or GCP) Hands-on experience implementing application monitoring and logging Practical AI knowledge across two dimensions: leveraging AI-powered development tools (GitHub Copilot, Cursor, or similar) to accelerate delivery, and experience building AI-integrated solutions (LLM APIs, RAG pipelines, AI agents, or integrations with Azure OpenAI / OpenAI) English language proficiency at Upper-Intermediate level (B2) or higher Nice to have Cloud platform certifications (Azure, AWS, or GCP) Experience with AI/LLM frameworks and tooling: LangChain, LangGraph, LlamaIndex, vector stores (Azure AI Search, pgvector, Pinecone) Familiarity with AI orchestration patterns: multi-agent systems, evaluator-optimizer loops, retrieval-augmented generation Knowledge of advanced cloud-native architectures

Requirements

• 3+ years of hands-on experience in software development with a strong emphasis on Python

• Proven experience designing, developing, and deploying microservices applications

• Strong knowledge of cloud-native principles and hands-on experience with cloud services, including containerization and serverless computing

• Deep Experience with cloud platform (Azure, AWS, or GCP)

• Hands-on experience implementing application monitoring and logging

• Practical AI knowledge across two dimensions: leveraging AI-powered development tools (GitHub Copilot, Cursor, or similar) to accelerate delivery, and experience building AI-integrated solutions (LLM APIs, RAG pipelines, AI agents, or integrations with Azure OpenAI / OpenAI)

• English language proficiency at Upper-Intermediate level (B2) or higher

Responsibilities

• Design, implement, and deploy cloud-native solutions using Python, with a focus on scalability, security, performance, and containerization or serverless architectures

• Design managed database solutions for efficient data management

• Implement observability through monitoring and logging

• Apply Infrastructure as Code principles to automate cloud infrastructure management and provisioning

• Drive continuous integration and deployment practices for rapid and automated application delivery

• Design and build AI-integrated solutions, including LLM-based applications, RAG pipelines, and AI agents

Seniority

• Senior

Nice to have

• Cloud platform certifications (Azure, AWS, or GCP)

• Experience with AI/LLM frameworks and tooling: LangChain, LangGraph, LlamaIndex, vector stores (Azure AI Search, pgvector, Pinecone)

• Familiarity with AI orchestration patterns: multi-agent systems, evaluator-optimizer loops, retrieval-augmented generation

• Knowledge of advanced cloud-native architectures