Forward Deployment Engineer

Infinity Quest

2 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.adzuna.co.uk

Tech stack

Java (Programming Language) JavaScript (Programming Language) .NET Framework Artificial Intelligence Amazon Web Services Business Analytics Applications Microsoft Azure Cloud Computing Cloud Engineering Continuous Integration Information Engineering Extract Transform Load (ETL)

+43 more

Distributed Systems Enterprise Architecture Framework Identity and Access Management Python (Programming Language) Machine Learning Node.Js Systems Development Life Cycle Ansible Zero Trust Network Access Search Technologies Data Streaming TypeScript Zachman Framework Google Cloud ReactJS Large Language Models Multi-Agent Systems Prompt Engineering Deep Learning Multi-Cloud Generative AI Togaf Event Driven Architecture Data Lakes AI Platforms AngularJS Git Flow Kubernetes Infrastructure Automation Frameworks Deployment Automation HuggingFace Data Analytics Enterprise Integration Data Management Web Technologies Machine Learning Operations Virtual Agents Api Design Terraform Data Pipelines Devsecops Serverless Computing Microservices

Job description

Full-stack software engineering expertise across Java, Python, .NET, JavaScript/TypeScript, Node.js, React, Angular, and modern web technologies.

Requirements

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.