3 of 3 Permanent Cost Optimisation Jobs in Leeds

Lead Cloud & AI Platform Engineer

Hiring Organisation
Jobleads-UK
Location
Leeds, England, United Kingdom
cloud migrations to AI enablement and platform engineering, you will lead the charge in building autonomous platforms, managing AI lifecycles, and enforcing strict cost governance across cloud estates. You are seen as a leader internally and externally, through your technical expertise, guidance, and professionalism, both … advanced Kubernetes administration (clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a costoptimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such ...

Lead Azure Cloud Platform Engineer, Home Based

Hiring Organisation
Fdo Consulting Limited
Location
Leeds, West Yorkshire, Yorkshire, United Kingdom
Employment Type
Permanent, Work From Home
Platform Automation. DevOps, CI/CD and Engineering Enablement. Security Governance and Regulatory control Cloud networking, connectivity and integration. Operational Resilience, Monitoring and Cost Optimisation. Mentoring, Standards and Engineering Culture Key Skills Required - Must have worked at a Lead level. Expert level hands-on and architectural Azure Cloud ...

Principal Data Solution Architect

Hiring Organisation
Jobleads-UK
Location
Leeds, England, United Kingdom
identify, communicate, and mitigate technology risks associated with distributed systems, data platform decisions, and system integrations Ensure operational excellence - design solutions with security, cost optimization, performance, regulatory requirements, and compliance in mind Contribute to architecture governance - support architecture forums and governance processes, ensuring timely review and alignment across … optimization, as well as OLTP databases such as PostgreSQL and MySQL Distributed compute frameworks – strong experience with Apache Spark and distributed data processing, including optimisation, performance tuning, and large‐scale batch/streaming workloads Cloud‐native data platforms – demonstrated experience with any Cloud Providers such as AWS, GCP, Azure ...