s, dialogs etc. • Excellent Analytical and Communication skills • NET, C#, JavaScript experience a plus/• Working knowledge of CRM's interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and More ❯
the following areas, along with a broad understanding of how the others contribute to end-to-end solutions. Our current ecosystem includes: Case Handling & Automation: Microsoft D365, Power Platform, Azure Logic Apps, Azure Functions, Azure DevOps Integration: NServiceBus, Azure Service Bus HR & Finance: Workday, Anaplan Productivity & Collaboration: Microsoft 365 AI & Intelligent Automation: Azure AI, MicrosoftMore ❯
the following areas, along with a broad understanding of how the others contribute to end-to-end solutions. Our current ecosystem includes: Case Handling & Automation: Microsoft D365, Power Platform, Azure Logic Apps, Azure Functions, Azure DevOps Integration: NServiceBus, Azure Service Bus HR & Finance: Workday, Anaplan Productivity & Collaboration: Microsoft 365 AI & Intelligent Automation: Azure AI, MicrosoftMore ❯
London, South East, England, United Kingdom Hybrid / WFH Options
VIQU Limited
and Microsoft Dataverse Experience developing and consuming REST APIs, including the Dataverse Web API and Microsoft Graph API Proven experience writing Windows scripts (e.g. PowerShell, batch scripting) Agile (SCRUM) Azure DevOps Strong communication skills and a collaborative mindset Contract Overview Role: Software Developer Length: 5-month contract IR35: Inside IR35 Rate: £330 per day Location: Fully Remote Apply now More ❯
intuitive UX design (i.e. developments using HTML5 Responsive UI with Bootstrap). Experience working with Team Foundation Server (TFS) with Visual Studio Team Services and/or GIT through Azure DevOps. Proven experience in 3-Tier Architecture developments. Effective communication and written skills. Ability to multitask and handle multiple tasks/assignments simultaneously. Identify and design the most efficient More ❯
requirements, including performance, scalability, security, and compliance. Broad experience with system security, operating systems, cloud infrastructure, and enterprise data management. Key Skills: Advanced knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design and management. More ❯
MVVM. Build and maintain robust .NET Framework and .NET Core backend services, APIs, and libraries. Implement modular application architectures to support scalability and maintainability. Integrate with cloud platforms (AWS, Azure) for distributed computing and storage. Technical Leadership & Collaboration Lead design reviews, code reviews, and architectural discussions to ensure technical excellence. Collaborate with product managers, designers, and cross-functional engineers More ❯
Python, XML/FpML and Power BI Solution architecture (Business, Functional, Technical) Data architecture, data lineage Integration architecture Process Automation, BPM and Digital Platforms, e.g. Pega Cloud, especially MicrosoftAzure Experience of handling information security and privacy challenges Interest and awareness in emerging technologies In addition, the following experience would be valuable: An appreciation of Artificial Intelligence and Machine More ❯
Generative AI Testing/quality engineering; experience of test automation will be beneficial Process Automation, BPM and Digital Platforms, e.g. Pega Cloud technology (knowledge of any or all of Azure, AWS and Google would be beneficial) Experience of handling information security and privacy challenges Interest and awareness in emerging technologies Experience of vendor packages. An appreciation of Artificial Intelligence More ❯
and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks, explainability, and governance in AI Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences. Coaching Mindset More ❯
Skills and Competencies Proficiency in at least one and preferably two programming languages (e.g., Python, Rust, C/C C#). Cloud Platforms: Hands-on experience with AWS, Azure, or GCP, and familiarity with cloud-native architecture. Hands-on experience managing large-scale Kubernetes deployments. Expertise managing infrastructure as code using terraform. Problem-Solving Skills: Strong analytical and problem More ❯
ITSM platforms and DevOps toolchains Ability to troubleshoot complex infrastructure and application issues using monitoring insights Solid scripting experience (Python, PowerShell) for automation and integration Familiarity with cloud platforms (Azure, AWS) and monitoring containerised environments (Kubernetes, OpenShift) Strong problem-solving skills and analytical thinking to draw meaningful insights from data Excellent communication skills with the ability to convey technical More ❯
ITSM platforms and DevOps toolchains Ability to troubleshoot complex infrastructure and application issues using monitoring insights Solid scripting experience (Python, PowerShell) for automation and integration Familiarity with cloud platforms (Azure, AWS) and monitoring containerised environments (Kubernetes, OpenShift) Strong problem-solving skills and analytical thinking to draw meaningful insights from data Excellent communication skills with the ability to convey technical More ❯
in areas of application platform development, web and mobile development, cloud, integration, security, etc. " Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure " Understanding of distributed computing paradigm and exposure to building highly scalable systems. " Experience with platform modernization and cloud migration projects " Expertise in Agile development methodologies like TDD, BDD, Performance More ❯
Good understanding of HTTP protocol and MS IIS Fluent English communication skills - minimum B1 level Familiarity with SQL Databases, .Net Core, Dependency injection, xUnit, Moq, DDD & TDD Experience with Azure (preferable) Experience working in an agile development environment Our Offer: Competitive salary commensurate with skills and experience Performance and bonus structure dependent on meeting set targets and personal performance More ❯
You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you More ❯
the project or program level. Familiarity with performance testing tools such as JMeter, Gatling, K6, or Neoload . Skilled in CI/CD pipeline integration (e.g., Jenkins, GitLab CI, Azure DevOps). Excellent stakeholder communication and ability to navigate complex client landscapes. Experience mentoring testers and fostering a culture of continuous learning and delivery excellence. Bonus Points For: Previous More ❯
bring to this role: • Solid experience of database development using SQL Server stack 2012 or above, Knowledge of SQL Server Suite, V12. • Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server • Kimball methodologies for Data Warehousing • Strong experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, • An analytical mindset More ❯
native environments, focusing on high availability, scalability, and multi-tenant architecture. Partner with DevOps and Platform teams to integrate CI/CD pipelines, cloud deployments (AWS/GCP/Azure), and monitoring tools. Embrace 12-Factor App principles and design UIs that work with distributed backend systems. 3. Leadership & Collaboration Lead and mentor a team of frontend engineers across More ❯
deployment of ML pipelines in production environments Knowledge of CloudOps practices, with expertise in managing scalable, cost-optimized, and resilient data and ML workloads across major cloud platforms (AWS, Azure, or GCP) Experienced in architecting scalable ML solutions on cloud platforms, leveraging cloud-native services for data pipelines, model deployment, and system reliability Deep understanding of DevOps principles, including More ❯
experience with containerization technologies such as Docker and Kubernetes • You have experience with CI/CD pipelines and automated deployment tools • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure • You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible • You hold strong communication skills with an ability to explain More ❯
environments. Familiarity with frameworks and tooling for LLMs and generative AI (e.g., Transformers, LangChain, Haystack, OpenAI, Vertex AI). Experience operationalizing ML solutions in cloud-native environments (AWS, GCP, Azure). Proficiency with containerization and orchestration (Docker, Kubernetes or similar) for scalable model deployment. Practical experience with infrastructure-as-code (Terraform, CloudFormation, etc.). Understanding of concurrency, distributed systems More ❯
members Has an open, honest, and compassionate personality, shows empathy, and demonstrates a proactive approach to tasks and challenges Preferred Qualifications Experience working with other cloud platforms such as Azure, Google Cloud Platform (GCP), or others Familiarity with containerization technologies (e.g., Docker, Kubernetes) and microservices architecture Knowledge of DevOps practices and tools for automation, deployment, and monitoring Active participation More ❯
as a backend/platform engineer Have deep expertise in Python and building reliable data-focused backend services Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s) and data pipelines (SQL, dbt, Airbyte) Love automation, process improvement and finding ways to help others work efficiently Are comfortable working More ❯
