5 of 5 DemandTrendContract CI/CD Jobs in Cambridgeshire

Dynatrace Specialist / Consultant Dynatrace experience with DQL is mandatory Location: Cambridge (Required 2 days weekly from office) Experience: 7-10 years 450 GBP / Day (Inside IR35) You must have hands-on experience implementing Dynatrace, rather than those who have only used it as a monitoring tool. Key Responsibilities 1. Good understanding and usage of the following … collection and analysis of performance metrics as-required to diagnose complex system problems in a timely manner 11. Ability to integrate Dynatrace with various supported ITSM, CI / CD and QA / Performance Testing tools 12. Ability to create custom dashboards from the Dynatrace tool based on customer requirements 13. Strong knowledge of APM … KPIs and reporting 14. Ability to deliver client PoC / PoV demonstrating tool benefit and capabilities 15. Ability to document resolved issues in an effective manner for knowledge management 16. Ability to cross-train peers with tool usage and assist in creation of best-practices More ❯

Job Description Agent Design & Delivery : Architect and implement production-ready AI agents that integrate with enterprise platforms (SAP, Salesforce, ServiceNow, CI / CD, Databricks), with human-in-the-loop controls, observability, and auditability. Hybrid Skillset : Strong grounding in traditional machine learning and data workflows (forecasting, scoring models, risk detection, NLP etc) alongside Gen AI / LLM-based architectures. Able to select the right approach (ML vs LLM vs hybrid) for each problem. Expertise across RAG also, and experience with RPA / automation for understanding / awareness. Security & Risk by Design : Deep understanding of Gen AI risks, including prompt injection, data leakage, model misuse, and adversarial attacks. Build transparent, auditable solutionswith traceability of More ❯

Job Description Agent Design & Delivery : Architect and implement production-ready AI agents that integrate with enterprise platforms (SAP, Salesforce, ServiceNow, CI / CD, Databricks), with human-in-the-loop controls, observability, and auditability. Hybrid Skillset : Strong grounding in traditional machine learning and data workflows (forecasting, scoring models, risk detection, NLP etc) alongside Gen AI / LLM-based architectures. Able to select the right approach (ML vs LLM vs hybrid) for each problem. Expertise across RAG also, and experience with RPA / automation for understanding / awareness. Security & Risk by Design : Deep understanding of Gen AI risks, including prompt injection, data leakage, model misuse, and adversarial attacks. Build transparent, auditable solutions with traceability More ❯

requirements Partner with engineering teams, customers, and government agencies to develop security policies, operational processes, technical designs, and ensure integration with SIEM and monitoring systems. Demonstrated proficiency in network / system security (firewalls, IDS / IPS, micro-segmentation), IAM (RBAC, ABAC, JWT), secure coding practices (OWASP, SANS), and hands-on experience with tools like Trellix, Ivanti, ClearSwift. Deep … knowledge of Kubernetes and container security (RBAC, network policies, runtime protection), CI / CD pipeline hardening (Git, SonarQube, Vault), Infrastructure as Code (Terraform, Ansible), and cloud-native security (Trivy, Istio, NSX). More ❯

agent control. Key Responsibilities: Deliver a modern, automated infrastructure platform with AI-operable capabilities Oversee key infrastructure components such as data centre expansion, programmable compute, and software-defined network / storage Enable automation-first delivery models with observability, self-healing, and policy-driven control Implement and mature GitOps workflows, IaC pipelines, and CI / CD … and execution Drive cultural change and adoption of code-first, automation-led infrastructure practices Essential Skills & Experience: Proven experience delivering large-scale infrastructure transformation programmes Deep understanding of hybrid / on-prem platforms, automation, and declarative infrastructure Strong grasp of Infrastructure-as-Code, GitOps, DevOps, and platform engineering practices Experience with automated, self-healing, and AI-operable infrastructure models More ❯