DevOps Engineer at InformaGroupPlc

This role is based in our 240 Blackfriars, London office. As a DevOps Engineer supporting AI workloads, you will design, automate, and operate cloud infrastructure for model serving, vector databases, high-performance compute, and data pipelines. You will drive Infrastructure-as-Code adoption, ensure secure and scalable deployment paths, and maintain reliable environments across AWS and Azure. You will partner with AI engineers, data teams, and product stakeholders to enable production-ready AI services that scale efficiently and meet enterprise requirements. Key Responsibilities: • Build and operate cloud environments for AI platforms, including GPU compute, vector stores, RAG pipelines, and real-time inference services. • Implement IaC and deployment automation using Terraform, ARM/Bicep, and modern CI/CD workflows. • Manage core infrastructure layers: networking, identity, storage, DNS, certificates, and security controls. • Implement observability for AI workloads—latency, throughput, token usage, cost, GPU utilization, and service health. • Automate provisioning, scaling, secret management, runtime configuration, and environment lifecycle. • Partner with engineering teams to onboard new models, data sources, and services into production. Core Tech Stack: • AWS (Primary) • ECS/EKS, S3, RDS/Aurora, OpenSearch, IAM, Secrets Manager, CloudWatch, • Route53, ALB/NLB, CloudFront, Terraform, Cloudflare • Azure (Preferred / Equivalent) • Azure VMs, Azure ML, App Service, AKS, Blob Storage, Azure SQL, Azure Cognitive • Search, Entra ID, Key Vault, Monitor, Application Gateway, Front Door, Log Analytics, • ARM/Bicep, APIMAI-Specific Infrastructure: • Vector DBs & retrieval systems (OpenSearch, PGVector, Qdrant, Redis) • Model hosting & orchestration (SageMaker, Bedrock, Azure OpenAI, custom • containerized models) • Secure data pipelines for ingestion (ETL, batching, streaming, lineage) • GPU and accelerated compute environments (NVIDIA frameworks, CUDA drivers, • inference runtimes)General Tooling: • GitHub Actions / Azure DevOps / Code Pipeline • Linux admin, networking, SSL, DNS, CDNs, WAFs • Shell + Python automation