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Full Stack Engineer

17918

AnyClerkenwell
Any
Posted by 17918

Job Description

Application Development & Integration Full-stack software engineering expertise across Java, Python, .NET, JavaScript/TypeScript, Node.js, React, Angular, and modern web technologies. Deep experience in API development, Microservices, Event-Driven Architectures, Enterprise Integration, and Distributed Systems design. Cloud, Platform Engineering & Infrastructure Expertise in Azure, AWS, and GCP with strong knowledge of multi-cloud, cloud-native, serverless, containerized, and Kubernetes-based architectures. Experience building highly scalable, resilient, and enterprise-grade platforms using modern infrastructure and platform engineering practices. DevSecOps, MLOps & Automation Advanced knowledge of CI/CD, GitOps, MLOps, Infrastructure as Code (Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, HuggingFace, and emerging AI platforms. Hands-on experience with AI orchestration and agent frameworks including LangChain, LangGraph, Semantic Kernel, LlamaIndex, CrewAI, and AutoGen. Strong knowledge of Prompt Engineering, RAG, Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Azure AI Search), Model Fine-Tuning, LLMOps, and Secure AI practices. Enterprise Architecture & Security Proficiency in enterprise architecture frameworks (TOGAF, Zachman), cloud-native design patterns, integration architectures, and technology modernization initiatives. Familiarity with Zero Trust security, IAM, encryption, compliance frameworks, cybersecurity best practices, and secure AI implementations. Innovation & Technology Leadership Proven ability to evaluate, prototype, and operationalize emerging technologies, translating innovation into scalable business solutions and measurable outcomes. Experience leading Proof of Concepts (PoCs), accelerator programs, modernization initiatives, and AI transformation efforts. Data Engineering & Analytics Strong command of data platforms, ETL/ELT pipelines, data lakes, real-time streaming, analytics solutions, and data-driven application architectures. Experience enabling AI and business intelligence solutions through modern data engineering practices. TPBN1_UKTJ