19 of 19 Permanent Azure DevOps Jobs in Berkshire

and implement scalable solutions leveraging the full Power Platform suite : Power Apps (Canvas & Model-Driven) Dataverse, Power Pages/Portals, Virtual Agents Power Automate, Power BI Integrate with Azure services (Logic Apps, Azure Functions, Azure DevOps, Azure AD). Contribute to delivery standards and knowledge sharing across the team. Support … Skills & Experience Required Proven experience delivering Power Platform and Dynamics 365 CE solutions. Strong understanding of Power Apps, Dataverse, Power Automate, Power BI and related technologies. Knowledge of Azure integrations and related tools. Excellent communication skills with the ability to liaise confidently with technical and non-technical stakeholders. Proactive, solutions-focused approach with a strong commitment to quality More ❯

and implement scalable solutions leveraging the full Power Platform suite : Power Apps (Canvas & Model-Driven) Dataverse, Power Pages/Portals, Virtual Agents Power Automate, Power BI Integrate with Azure services (Logic Apps, Azure Functions, Azure DevOps, Azure AD). Contribute to delivery standards and knowledge sharing across the team. Support … Skills & Experience Required Proven experience delivering Power Platform and Dynamics 365 CE solutions. Strong understanding of Power Apps, Dataverse, Power Automate, Power BI and related technologies. Knowledge of Azure integrations and related tools. Excellent communication skills with the ability to liaise confidently with technical and non-technical stakeholders. Proactive, solutions-focused approach with a strong commitment to quality More ❯

Contract Job Specification: Azure Engineer Role: Azure Engineer Location: London (Hybrid – on-site 2–3 days per week) Contract Type: Initial 6 months (extension likely) Day Rate: Competitive (outside IR35, depending on experience) About the Role We are seeking a skilled Azure Engineer to join our team on a contract basis. The successful candidate … will suit a hands-on engineer with strong technical expertise and a proven track record of delivering enterprise-grade cloud infrastructure projects. Key Responsibilities Design, build, and optimize Azure-based infrastructure and services. Implement and manage Azure networking, storage, compute, and monitoring solutions. Work closely with development and operations teams to support CI/CD pipelines … and infrastructure automation. Ensure security, compliance, and governance best practices are applied across cloud environments. Troubleshoot and resolve issues in Azure environments. Provide technical documentation and knowledge transfer to internal teams. Support migration of workloads to Azure and optimize existing deployments. Required Skills & Experience Proven experience as an Azure Engineer or Cloud Infrastructure Engineer. More ❯

Code (IaC), and automated testing frameworks. Working closely with the DevSecOps Tech Lead, engineering teams, and customer stakeholders, you will help shape and maintain secure delivery processes, champion DevOps best practices, and lead a team of engineers through agile delivery. Key Responsibilities: Design, implement and support DevSecOps pipelines and tooling. Develop automation scripts (Ansible) and Infrastructure as Code … as Black Duck, Coverity, Snyk, and JFrog. Implement and manage automated testing (Selenium, Robot Framework) and test management systems. Guide the secure management of secrets using tools like Azure DevOps and HashiCorp Vault. Work across Windows and Linux environments within Agile sprint-based teams. Lead technical decisions, mentor junior engineers, and liaise with customer stakeholders. Align … DevSecOps adoption with engineering and security processes. Key Skills & Experience: Proven background in DevSecOps and automation. Experience with Azure DevOps, Git, Terraform, Ansible. Knowledge of secure software development practices. Strong leadership, collaboration, and communication skills. Background in software development with strong problem-solving ability. This role requires UK nationality and eligibility for DV clearance. This position More ❯

expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of … on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience … and retraining. Familiarity with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. Knowledge of cloud platforms and scalable compute environments (Azure preferred). Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context. Ability to align machine learning initiatives with business objectives in a scientific More ❯

in software development are adopted across projects. What You’ll Be Doing Designing and developing scalable backend solutions using C# and Python Building and deploying solutions within the Azure ecosystem (App Services, Functions, Logic Apps, AI Services, etc.) Creating and maintaining RESTful APIs, microservices, and event-driven architectures Implementing and optimising CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) Applying DevOps practices and automated testing frameworks to ensure reliability and scalability Collaborating with cross-functional teams to translate business needs into robust technical solutions Exploring emerging technologies such as Generative AI, VR/AR, and edge computing to drive innovation What We’re Looking For 5+ years’ experience in … software engineering with C# and Python 5+ years of hands-on cloud-native development with Azure Strong experience with modern frameworks, version control, and testing practices Familiarity with agile delivery, including sprint planning and iterative development Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders Desirable Skills Experience with Generative AI (LLMs, LangChain More ❯

opportunity to shape the future of our technology landscape, driving efficiency through automation, enabling FinOps practices, and optimising cloud operations. The Role: Designing and implementing cloud solutions across Azure and AWS , supporting enterprise-scale transformation programmes. Developing Infrastructure-as-Code (IaC) and Compliance-as-Code solutions using Terraform, Ansible, Jenkins, Git, Azure DevOps, Docker … Kubernetes, and ARM templates. Building and maintaining monitoring platforms (LogicMonitor, Azure Monitor, CloudWatch) and integrating AIOps with ServiceNow. Delivering automation, APIs, and backend pipelines to support FinOps and governance initiatives. Working across virtualisation, storage, networking, and both Windows and Linux environments to ensure performance, resilience, and security. Collaborating with development and infrastructure teams, championing DevOps and … Proven ability to work across distributed systems and deliver scalable, reliable solutions. Excellent collaboration and communication skills, with the ability to guide and support teams. Official Certifications in Azure, RedHat, Kubernetes, Terraform, and Ansible . Academic background including a BEng in Telecommunications and Telematics, MSc in Machine Learning & Biotechnology , and a PhD in Generative AI (in progress) . More ❯

a business transformation setting, either at enterprise level or in large-scale delivery.Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologiesAnalytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience … with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools and CI/CD pipelines to enhance development efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud … automate and manage cloud infrastructure, ensuring both consistency and scalability across environments Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure, GCP, AWS or Databricks. Ability to be a key team member of a diverse team of data engineers, fostering an environment that promotes professional growth and high performance More ❯

Python, .NET 8.0+, and Entity Framework -Experience with SQL Server, T-SQL, DML, and DDL -Familiarity with NoSQL databases - Experience with Kubernetes/Docker Desirable Skills -Experience with Azure DevOps -Experience with cloud platforms (AWS or Azure) -Knowledge of K8s Operators or Helm charts -Experience with messaging systems (e.g., Kafka) -Familiarity with modern web More ❯

a Team Leader, managing a team of Data Engineers on various projects Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry … with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools and CI/CD pipelines to enhance development efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud … automate and manage cloud infrastructure, ensuring both consistency and scalability across environments Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure, GCP, AWS or Databricks. Ability to inspire, lead, and manage a diverse team of data engineers, fostering an environment that promotes professional growth and high performance.Experience working withing More ❯

real-world technical challenges, then this could be your next opportunity. A new role has opened up for an Infrastructure Engineer with experience or a strong interest - in DevOps practices. This company designs cutting-edge monitoring technology thats deployed in sectors such as clean energy. Youd be joining a small but ambitious engineering team working on a mix … of on-prem servers (Linux & Windows) and cloud-based solutions (Azure). This is a hands-on role where youll be involved in everything from managing internal infrastructure and user support, to improving build pipelines and exploring cloud technologies. The systems you manage will support both in-house developers and a growing fleet of connected devices, so theres … plenty of scope to have a real impact. While deep DevOps experience isnt essential, the team is keen to bring someone on board whos excited by automation, scripting, and learning new tools. If youve worked as a traditional SysAdmin but want to grow into DevOps, this could be a great step - provided youve had some exerperience More ❯

patterns (e.g., event queues , publish/subscribe ). Experience with CI/CD pipelines, version control systems like Git , and automation tools such as Jenkins , GitHub Actions , or Azure DevOps Pipelines . Expertise in designing, implementing, and maintaining RESTful APIs and microservice interfaces. Strong understanding of cloud security best practices , including access control, encryption, and data … e.g., Scrum , Kanban ). Excellent communication skills and the ability to collaborate with cross-functional teams. Desirable Skills: Experience with AWS certifications (AWS Certified Solutions Architect, Developer, or DevOps Engineer). Experience with Monitoring and Logging solutions like CloudWatch , New Relic , or Datadog . More ❯

This role offers excellent opportunities for career growth, technical training, and direct impact on real-world defence operations. Key Responsibilities: Develop and maintain CI/CD pipelines using Azure DevOps. Write and manage Infrastructure as Code using Terraform and Ansible. Integrate and advise on the use of security tools (SCA/DAST/IAST), such as Black Duck … Coverity, Snyk, and JFrog. Implement automated testing frameworks (e.g., Selenium, Robot Framework). Support the configuration of secure secrets management using Azure DevOps and HashiCorp Vault. Work across both Linux and Windows environments. Support technical design decisions and ensure DevSecOps practices align with business and security objectives. Collaborate closely with scrum teams, DevSecOps leads, and other … technical stakeholders. Contribute to re-usable IaC and automation artifacts and help other teams adopt best practices. Key Skills & Experience: Experience with DevOps tooling and automation in secure environments. Proficient with CI/CD pipelines, Git, Terraform, Ansible, and security integration tools. Background in software development with strong problem-solving skills. Knowledge of agile delivery and secure software More ❯

CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products & Transformation – Position reusable data products and architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration … strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation More ❯

Junior DevOps Engineer (SRE) £417/day Inside IR-35 Wokingham - 2 days per week 2 month contract with the possibility to extend beyond Role Description: Work with Agile teams to automate infrastructure, ensure platform reliability, and support continuous delivery. Use modern cloud-native tools and CI/CD platforms to maintain secure, observable, and high-performing environments. … Relevant Skills: Experience working in Agile environments Strong understanding of Site Reliability Engineering (SRE) principles Familiarity with Azure DevOps for CI/CD and pipeline management Knowledge of observability tools: Prometheus, Grafana, Loki, Tempo Experience with Infrastructure as Code: Helm, Kustomize Hands-on experience with Tekton and ArgoCD Ability to support and troubleshoot OpenShift Operators (ServiceMesh More ❯

essential criteria youll need is: Training or certifications in Azure. Databricks certified data engineer. Efficient in building data platforms and associated maintenance processes for enterprise solutions. Core cloud (Azure) based technical knowledge. Wide range of strong platform support and technical skills. (i.e. Azure DevOps, API creation, PowerShell, Python, SQL) Stakeholder management. Additional skills and More ❯

Analyst (Insurance): Proven track record of project delivery in business and systems analysis roles Strong experience within insurance, ideally 5+ years Strong agile software development methodologies and tools (Azure DevOps, JIRA, etc) Exceptional communication skills, able to bridge between business and IT teams Prior programming or scripting background (eg SQL, python, Java, .Net) This is an More ❯

automation, Real estate and venture capital domain”. "• Lead the design and implementation of robust data architectures to support business needs and data strategy. • Utilize extensive experience in Azure Synapse, Python, PySpark, and ADF to architect scalable and efficient data solutions. • Oversee and optimize SSIS, SSRS, and SQL Server environments, ensuring high performance and reliability. • Write/review … meet business and technical requirements. • Optimize performance using MSBI toolsets, including SQL Server, SSIS, and SSRS, to enhance data processing and reporting capabilities. • Apply hands-on experience with Azure DevOps (ADO) and familiarity with version control concepts like cherry-picking and checking/merging code. • Proven leadership and mentoring skills, with the ability to guide and More ❯

Designer in London Market insurance Strong track record improving journeys across policy admin systems, underwriting workbench tools, or enterprise workflow solutions Proficiency in Figma, UXPin, Balsamiq, Visio, and Azure DevOps Knowledge of the software development lifecycle and Agile/Scrum delivery Ability to translate business requirements into intuitive user journeys Next Steps Please apply for UX More ❯