Cloud Security EngineerPermanent - £55k-£70k + benefitsLocation: Hybrid - StockportYour new company:A leading financial services company are currently looking for a Cloud Security Engineer. The organisation is global, and well respected in their industry. You'll be a part of a...
This role involves building and leading Databricks' go-to-market strategy for Retail and Consumer Goods across EMEA from the ground up. The individual will shape how major retailers and consumer brands leverage data and AI to transform operations, customer experiences, and revenue models. They will drive industry-specific initiatives, develop partner ecosystems, influence product direction, and establish thought leadership through content and executive engagement.
This role involves leading the post-sales technical strategy for strategic customers adopting the Databricks platform, ensuring successful onboarding, production rollout, and sustained usage of data and AI workloads. The Delivery Solutions Architect acts as the primary technical lead, coordinating across internal teams and customer stakeholders to drive adoption, resolve escalations, and deliver measurable business outcomes. The position blends deep technical expertise in data systems with customer engagement and strategic planning in complex enterprise environments.
Acts as a trusted advisor to C-suite stakeholders, leading end-to-end scoping and delivery of high-value AI solutions for strategic customers. Owns the non-technical lifecycle of engagements, from initial discovery through pilot definition, agile execution, and solution launch. Defines product requirements, manages scope and stakeholder alignment, and drives adoption while working closely with engineering teams to deliver measurable business outcomes.
Design and develop high-performance backend systems for Databricks workspaces, focusing on scalability, low latency, and reliability. Lead technical projects across teams, mentor junior engineers, and contribute to open-source initiatives like Delta Lake. Work on large-scale distributed systems processing exabytes of data daily.
Design and build scalable backend systems for a cloud-based data and AI platform, focusing on distributed systems, reliability, and performance at scale. Work across the full development lifecycle to improve data storage, access, and platform stability. Contribute to foundational components of the Lakehouse architecture while collaborating with cross-functional teams.
As a DevOps Engineer, you will be responsible for creating, maintaining, and optimizing the infrastructure and CI/CD pipelines that support complex financial software platforms. You'll work closely with developers and stakeholders to ensure seamless deployments, robust environments, and secure, scalable systems in a collaborative, fast-paced environment.
This role involves automating and maintaining cloud infrastructure using Terraform and Azure DevOps. You will work on building reusable platform components, collaborating with various teams, and ensuring robust and reliable infrastructure solutions.
Design and manage CI/CD pipelines and automate infrastructure provisioning in Azure using tools like Terraform, Bicep, and ARM templates. Implement security, monitoring, and deployment best practices across cloud services including Azure App Services and Function Apps. Collaborate with development teams to ensure scalable, reliable, and high-quality software delivery within an Agile environment.
This role involves maintaining and improving a secure, business-critical platform hosted on AWS, with a strong focus on infrastructure automation, CI/CD pipelines, and operational resilience. The DevOps Engineer will work across Docker-based environments, manage Terraform IaC solutions, and support live services with monitoring via Elastic and Kibana. The position operates within a 24/7 on-call environment and requires collaboration with development and support teams to ensure system reliability and security.
This role involves designing and evolving a scalable AWS-based platform for a high-growth technology company, with a focus on infrastructure automation, reliability, and developer productivity. The engineer will lead architectural decisions, improve CI/CD and observability systems, and mentor other engineers while working across distributed systems and event-driven architectures. It's a strategic position to shape the platform during a critical scaling phase.
This role involves leading the technical design, evolution, and automation of an enterprise Microsoft Azure and Kubernetes platform. Responsibilities include cloud architecture, CI/CD pipeline optimization, and ensuring regulatory compliance in a highly regulated financial environment.
This role involves auditing and modernizing an existing AWS environment by migrating manually-configured infrastructure to CDK and CloudFormation. You will work closely with a small team of C#/.NET developers to ensure changes are made without disrupting live services and document the new setup for future maintenance.
This role involves maintaining and evolving a high-scale, globally distributed SaaS platform running on Azure Kubernetes. The engineer will focus on reliability, scalability, and availability, working with Terraform, ArgoCD, and Azure services to automate infrastructure and improve operational processes. The position offers a chance to impact a system handling over 32 million daily requests under a strict 99.95% SLA.
Design and maintain scalable Azure cloud infrastructure using Infrastructure as Code, manage AKS and containerised workloads, and build automated CI/CD pipelines to support a growing fintech platform. Collaborate with engineering teams to improve platform reliability, security, and developer experience. Play a key role in shaping cloud strategy and mentoring other engineers in a modern, automation-first environment.
