4,101 to 4,125 of 9,712 Azure Jobs

relationships and communicate clearly with both technical and non‐technical stakeholders. Curiosity, creativity and a continuous improvement mindset will also be important. Experience with Azure, Power Platform, Line of Business system modernisation or working in a regulated environment would be advantageous but is not essential. You will join ...

patterns for enterprise workflows. Production ML/LLMOps: Experience with model deployment, monitoring, MLOps/LLMOps, and lifecycle management across cloud services (AWS Bedrock, Azure AI, GCP Vertex AI).AI Architecture & Security: Understanding of cloud reference architectures, identity and access, data governance, privacy, and compliance. Math & Operations Research: Applied ...

interviews, assessments), and contributing to training materials to achieve curriculum outcomes. Requirements Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure). Hands‐on knowledge of designing and implementing Data Science solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge ...

emerging issues, cost & schedule implications Forward facing, able to engage with peers/Customers Sound understanding of cloud infrastructure environments and technology (e.g. AWS, Azure, Google) Knowledge of the Software Development Lifecycle for applications and services Working knowledge of Gov Standard 007: Security, NIST standards (800-30/ ...

SaaS company. Light scripting or coding ability (e.g. Python) and comfort working with API tools such as Postman. Relevant cloud or security certifications (AWS, Azure, or equivalent). Why This Role AI agents are changing how enterprises operate — and the question of how to govern them safely is becoming ...

systems, or similar experience with other relevant SQL datastores. Operational experience deploying and managing Kubernetes Experience working with Cloud Providers (AWS/GCP/Azure) We value a variety of experiences, so these are not required. It would be an added bonus if you have experience ...

C++, Python, TypeScript, and Fortran Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux ...

containerization and orchestration technologies, specifically Docker and Kubernetes (K8s), including service meshes and ingress controllers. Advanced experience with major cloud providers (AWS, GCP, or Azure), specifically building and operating highly resilient cloud‐native architectures. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, Splunk, Datadog ...

Hadoop, or Hive. Experience developing, evaluating, or deploying machine learning and AI solutions, including work with large language models, and cloud environments (e.g., AWS, Azure, GCP). Experience applying data disclosure limitation (SDL) and data privacy methods, including risk assessment and mitigation for public data releases. Experience with ...

production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Software Engineering: Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js ...

Server administration skills System performance analysis (CPU, memory, disk, processes, services) Log analysis and troubleshooting Virtualization platforms (VMware, Hyper-V) Basic cloud exposure (AWS, Azure, GCP) Networking fundamentals TCP/IP, DNS, routing, NAT, VPN concepts Packet capture and analysis (Wireshark, tcpdump) Load balancer concepts Database Knowledge Strong understanding ...

delivery: prompt engineering, tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment. LLMOps & evaluation : CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management. ...

series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure componentsAdditional Preferred Qualifications: Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic ...

discovery.* Hands-on experience with Service Mesh architectures and sidecar patterns.* Cloud Mastery: Expert-level knowledge of at least one major cloud provider (AWS, Azure, or GCP), with a focus on their managed Kubernetes and Serverless offerings.* Automation & Code: Proficiency in Terraform, Helm, and YAML. Ability to read/ ...

qualification - Experience with customer relationship management, especially C-suite level customer engagement- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.- Experience in data science, machine learning or data mining- Knowledge of distributed applications/enterprise applications- Experience in specific technology ...

have Kubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators. Experience with MLOps, model monitoring, CI/CD, or observability. Familiarity with AWS, Azure, GCP, serverless systems, or managed inference platforms. Experience integrating OpenAI or Anthropic APIs into customer tools. Open‐source contributions or experience supporting developer communities. Knowledge ...

engineer style delivery models. Comfortable with delivery metrics (e.g. burndown, velocity) to make informed decisions. Proficient with software development tools such as JIRA, Confluence, Azure DevOps. Knowing we're right for youEmbracing uniqueness, the culture at Grant Thornton thrives on the contributions of all our people, we never settle ...

engineer style delivery models. Comfortable with delivery metrics (e.g. burndown, velocity) to make informed decisions. Proficient with software development tools such as JIRA, Confluence, Azure DevOps. Knowing we’re right for youEmbracing uniqueness, the culture at Grant Thornton thrives on the contributions of all our people, we never settle ...

combining both as a solutions engineer, entrepreneur, or solution architect. In-depth knowledge of at least one major public cloud provider (e.g., AWS, GCP, Azure). Practical experience designing, building, and deploying production web applications, with the ability to translate non-technical descriptions into high-level conceptual architectures. Full ...

tests Experience building shared or platform-style ML systems Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work ...

systems design: you understand how to build services that scale, fail gracefully and recover quickly. Experience working with cloud-native infrastructure (AWS, GCP or Azure) and container orchestration (Kubernetes or equivalent). Proven ability to translate complex architectural requirements into clear, deliverable engineering plans. Strong experience in code ...

architectures. Solid experience designing OTA update mechanisms, including safe update strategies (e.g. rollback, validation, compatibility) Strong working knowledge and application of messaging technologies (e.g. Azure IoT Hub, MQTT, AMQP). Solid expertise in C#, C++ and .net framework. Familiar with Real-Time Operating System (RTOS) concepts (task scheduling, interrupts ...

right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: D365, Power Apps, Azure TOGAFSAFe UML, ArchiMate, ArdoqWhat you can expect ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: D365, Power Apps, Azure TOGAFSAFe UML, ArchiMate, ArdoqWhat you can expect ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

teams that consume the platform. What You Will Do Own the design and delivery of core infrastructure across multi cloud providers (AWS, GCP, Azure) and on premises environments using Terraform and Crossplane. Architect and operate Kubernetes clusters supporting both single tenant and multi tenant workloads, with a strong emphasis ...