Lead Cloud Native Developer (Python & AI)

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises.

• 5+ years of hands-on experience in software development with strong emphasis on Python
• At least 1 year of relevant technical leadership experience
• Proven experience designing scalable and robust web architecture with understanding of cost-effectiveness
• Strong knowledge of cloud-native principles and hands-on experience with cloud services, including containerization and serverless computing
• Deep experience with cloud platforms (Azure, AWS, or GCP)
• Hands-on experience implementing application monitoring and logging
• Practical AI knowledge leveraging AI-powered tools (e.g., GitHub Copilot) and building AI-integrated solutions (LLM APIs, RAG pipelines, AI agents, OpenAI/Azure OpenAI integrations)
• English proficiency at B2 level 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

• Lead the design, implementation, and deployment of cloud-native solutions using Python, focusing on scalability, security, performance, and containerization or serverless architectures
• Design architecture and structure of managed database solutions for efficient data handling
• Implement observability through monitoring and logging
• Apply Infrastructure as Code principles to automate cloud infrastructure management and provisioning
• Drive CI/CD practices for rapid and automated application delivery
• Design and build AI-integrated solutions, including LLM-based applications, RAG pipelines, and AI agents
• Mentor team members and conduct code reviews to maintain engineering standards

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