Ofertas › Freshfields Bruckhaus Deringer
Freshfields Bruckhaus Deringer · Manchester, United Kingdom · £65,000 - 105,000 per year
Salary: £65,000 - 105,000 per year Requirements: 5+ years of experience designing and implementing cloud-native solutions, preferably on Microsoft Azure. Hands-on experience with Kubernetes (AKS), Docker, and containerized application deployment. Expertise in Infrastructure as Code using Terraform and related automation frameworks. Experience building and maintaining CI/CD pipelines with Azure DevOps and YAML-based workflows. Strong programming and scripting skills in Python and PowerShell or Bash; C# or Go is a plus. Experience deploying and supporting AI, machine learning, API, and cloud application workloads in production. Experience operating production LLM workloads, including multi-provider routing, capacity and quota management, rate limiting, streaming and asynchronous job patterns, retries and backpressure, cost attribution, and AI-specific tracing and observability. Strong understanding of Linux administration, networking, security, and cloud architecture principles. Experience with enterprise Azure security patterns, including private networking and endpoints, Entra ID and managed identities, RBAC, and secrets management with Key Vault. Experience operating PostgreSQL, Redis, Azure Service Bus, and Azure storage services in production. Proficiency with Git, automated testing frameworks, and modern software engineering practices. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills, with experience in Agile engineering environments. Experience hosting and operating Django or comparable ASGI web applications, background workers, event-driven services, and server-sent event or similar streaming workloads on Kubernetes. Must have or secure the right to work in the UK and provide evidence before employment begins. Responsibilities: Design, build, deploy, and support secure, scalable, and resilient AI and cloud-based solutions on Azure. Engineer and maintain AI application infrastructure, including Azure Kubernetes Service (AKS), containers, and cloud-native services. Develop and manage Terraform Infrastructure as Code to provision and maintain secure, reliable environments. Build, optimize, and maintain CI/CD pipelines for AI, data, and application deployment using Azure DevOps. Implement automated testing, monitoring, alerting, and observability to support platform reliability and performance. Automate operational processes, configuration management, and environment