2,526 to 2,550 of 5,130 Azure Jobs

make sustainable and user‐focused technology choices. You may specialise in a particular technology domain or platform—such as legacy system migration, M365, Azure, GCP, AWS, data platforms, or intelligent process automation—but you should apply a technology‐agnostic perspective. You will act as a trusted advisor, often leading … Strong experience designing architectures for complex solutions ensuring consistency with agreed requirements and standards. Knowledge of enterprise systems, APIs/integration, cloud platforms (AWS, Azure, GCP), and data ecosystems. Experience developing and reviewing architecture artefacts; experience of architecture modelling (C4, ArchiMate, UML) and tools such as Visio, Lucidchart ...

approach complex customer scenarios and engage at an executive level with credibility. Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer. Thought Leadership: Elevate your profile by leading executive engagement, creating customer-facing … vendor commercial motivations and sales cycles. Market Familiarity: Understanding and experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs. Builder Mentality: A bias towards “showing” rather than “telling”, preferring to inspire stakeholders through built examples. Technical Expertise: Deep experience ...

maintain documentation of support processes & resolutions to known operational issues. Participate in a 24/7 on call rota as required. Essential Criteria Proven Azure commercial experience in AI Foundry, ACS/Telephony, Voice Live, Azure ML Proven industry experience with Python, Javascript, Typescript, React, Redux, Java Experience ...

room of engineers and just as easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable, and efficient scripts … custom tooling; experience with REST APIs and SDKs is strongly preferred Hands‐on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from data ...

strategy. Excellent communication and leadership skills, with a commitment toequality, diversity, and inclusion. Desirable, but not essential Experience withAzure data and AI servicessuch as Azure OpenAI, Purview, Azure Data Explorer, or Databricks. Experience working in alarge, complex organisation, ideally within the higher education sector. What we offer ...

direction, mentoring others, and helping to continuously improve how we build and operate our platforms Requirements Strong backend engineering experience with cloud‐based systems (Azure, AWS or GCP) Experience designing distributed or event‐driven architectures (Kafka or similar) Proficiency in TypeScript/Node.js and/or Python Experience building ...

Helping shape the future technical direction of the platform What We're Looking For Strong software engineering background with hands-on experience in: .NET Azure React SQL Server Cloud-based application development Experience working within product-led organisations Experience delivering solutions in Agile and Lean environments Experience designing, deploying …/CD pipelines and deployment automation (GitHub Actions preferred) ✅ Unit testing and modern testing methodologies ✅ Cloud computing concepts and architectures Nice To Have ✅ Azure platform services ✅ JavaScript and TypeScript ✅ React ✅ React Native and mobile development ✅ Test automation and shift-left engineering practices ✅ Experience contributing to greenfield product development projects ...

frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native experience (AWS, Azure, or GCP) Ability to present and effectively communicate with senior leaders and executives Demonstrable experience designing and leading adoption of agentic AI-enabled development … source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with AI evaluation and observability practices: evals frameworks, red-teaming, prompt drift detection, and cost/latency monitoring for LLM workloads Understanding ...

initiatives. Qualifications Previous experience leading and growing Data Engineering teams Strong hands‐on background with modern cloud data platforms (AWS/GCP/Azure) Expertise across Python, SQL and data orchestration tools such as Airflow Experience building scalable data pipelines and data platforms in a fast‐paced fintech ...

have hands-on experience with agentic AI development (LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, MCP)* Hands-on experience with Vector Databases & RAG (Snowflake, Azure AI search)* Your solution will be integrated with the work of your full stack developer teammates. Hence, understanding (hands-on experience is a plus … Applicants who are keen to contribute to both new feature development and system reliability and performance improvements.* Basic understanding of DevOps with AWS and Azure is mandatory, hands-on experience is a plus.* Hands-on experience with Agentic AI.* Familiarity with building applications that utilise generative AI is nice ...

vector databases and retrieval systemsExperience with AI agents, tool calling and workflow orchestrationAI evaluation, observability, guardrails and LLMOps expertiseAdvanced Python development skillsCloud experience (AWS, Azure or GCP)Experience with OpenAI, Anthropic or similar LLM platformsStrong communication and presentation skillsPrevious training, coaching, mentoring, or technical workshop delivery experience Location: Mostly ...

client deployments. You will embed cybersecurity controls and secure design practices into ClienTech pipelines, reusable assets, accelerator builds, and delivery environments across AWS, Azure, and GCP. Working closely with engineering squads, you will support the implementation of secure SDLC and DevSecOps practices, including static analysis, dependency scanning, container hardening … years of cybersecurity experience with strong exposure to digital product engineering, cloud workloads, or security architecture Working knowledge of securing cloud solutions in AWS, Azure, or GCP, including IAM, networking, containerization, and Kubernetes Hands‐on experience with DevSecOps toolchains such as SAST, DAST, dependency scanning, container image scanning ...

equipment data domains. Translate complex scientific/instrument outputs into clear business requirements and user stories for technical delivery teams, managed and tracked via Azure DevOps (ADO) . Engage with cross-functional stakeholders (lab scientists, informatics teams, data governance, IT) to ensure alignment between scientific intent and data/… senior business/data stakeholders . Excellent documentation skills — data dictionaries, business glossaries, process/data flow diagrams, mapping specifications. Hands-on experience with Azure DevOps (ADO) for Agile delivery — backlog, user stories, sprint tracking. Understanding of pharma R&D processes (e.g., experimental workflows, lab data lifecycle ...

stakeholder management and communication skills Experience working within large-scale transformation or data programmes Desirable Experience with Python Exposure to cloud platforms such as Azure or AWS Knowledge of test automation frameworks If this would be of interest please reach out with updated CV #J-18808-Ljbffr ...

DevOps and Infrastructure function, driving secure cloud platforms, engineering best practice and technical strategy across enterprise environments. Key skills: Terraform, Kubernetes & Python GCP and Azure (AWS desirable) DevOps & CI/CD (GitHub, Jenkins, Harness, Backstage) Cloud Security & Infrastructure Engineering Leadership of engineering teams and technical delivery Security controls, governance ...

Information Technology, Data, Finance, or a related discipline Relevant certifications such as PRINCE2, PMP, AgilePM, Scrum, or equivalent are advantageous Experienced and comfortable using Azure DevOps and/or Jira #J-18808-Ljbffr ...

storage, and enterprise infrastructure. Experience with Operational Acceptance Testing (OAT), Operational Readiness Testing (ORT), and Non-Functional Testing. Knowledge of cloud platforms such as Azure, AWS, or GCP. Experience testing high availability, resilience, backup and recovery, monitoring, and security. Experience using Jira for test planning, execution, and defect management. ...

experience with CyberArk/Idira PAM implementation and administration. Deep understanding of Privileged Access Management (PAM) principles and security best practices. Experience with Azure, AWS, Entra ID, IAM Identity Centre, and RBAC. Infrastructure as Code experience using Terraform. Strong scripting skills in Python and PowerShell. Experience with GitHub Actions ...

Technical Business Analyst, Requirements Gathering, Business Analysis, Functional Specifications, Web applications, Databases (SQL etc.), API's, OTC, FIX, RESTful, UI, User Flows, User Journey, Azure DevOps, JIRA, BCS, PSPO NEW PERMANENT ROLE due to continued business growth. Our client is keen to expand its product/BA/Functional ...

maintain documentation of support processes & resolutions to known operational issues. Participate in a 24/7 on call rota as required Essential Criteria: Proven Azure commercial experience in AI Foundry, ACS/Telephony, Voice Live, Azure ML Proven industry experience with Python, Javascript, Typescript, React, Redux, Java Experience ...

managing architecture taxonomies, patterns, and standards. Proven ability to align architecture with strategic objectives, OKRs, and scorecards. Hands-on familiarity with cloud platforms (AWS, Azure, GCP), API-led integration, security-by-design, and data architecture principles. Experience integrating emerging platforms or modernizing legacy systems at scale. Evaluate emerging technologies … design and messaging standards Knowledge of security-by-design principles and secure architecture practices Experience integrating SaaS solutions and working with cloud platforms (AWS, Azure, GCP) Familiarity with architecture maturity models and scorecards Certifications such as TOGAF, ArchiMate, or equivalent enterprise architecture frameworks are desirable. 8+ years of experience ...

teams. Key skills/experience required: AWS Kubernetes IaC (Terraform) GitOps (Helm, ArgoCD) Monitoring and alerting for production systems (Prometheus/Grafana or similar) Azure (desirable) MLOps in k8s (Kubeflow etc) Running GPU workloads on K8s (drivers, scheduling, utilisation) Familiarity with AI engineering Experience deploying in air-gapped customer ...

pipeline design and deployment experience Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office a minimum of two days per week. Actual time ...

ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to non-technical audiences. Passionate about applying AI responsibly ...

/response validation, payload assertions) Experience testing modern web applications, including multi-step user journeys Automation framework design and maintenance (POM, reusable utilities, fixtures) Azure DevOps or similar CI/CD and test management tooling Solid understanding of Agile delivery and software testing best practices Experience with cross-browser ...