51 to 75 of 4,797 Azure Jobs

strategies. You'll work across large-scale digital transformation programmes, designing secure, scalable and accessible citizen-facing services while working with technologies including AWS, Azure, Google Cloud, Salesforce and Microsoft Dynamics. Key Responsibilities Lead the technical design and implementation of complex enterprise-scale systems Translate high-level solution architectures … into detailed technical designs, API specifications, data models and infrastructure designs Lead cloud-native implementations across AWS, Azure and/or Google Cloud Provide technical guidance, mentoring and assurance to development teams Conduct technical reviews across code, infrastructure and deployment pipelines Design secure, scalable and resilient architectures across public ...

community. The Senior Cloud Engineer will work with a team to design, implement, and maintain enclaves' virtual infrastructure in both AWS and Azure Cloud as well as on premises deployments. The Senior Cloud Engineer position is a demanding, high-energy role that requires innovative solutions to network, hardware … years of experience designing, engineering, and deploying infrastructure systems and services within cloud environments. 5+ years of experience and proficiency working with Azure Cloud computing technologies across Windows and Linux endpoints, with hands-on experience with the following resources: Azure Active Directory, Virtual Networking, Virtual Machines, Storage Accounts ...

artefacts (C4 diagrams, ADRs, HLD/LLD, API contracts) that are usable by delivery teams. Design resilient, secure and cost-effective cloud solutions on Azure, including identity, networking and observability. Make pragmatic technology choices (build vs buy, patterns, services) and document trade-offs. Support pre-sales and delivery assurance … would like to hear from you. Core technical skillsProven experience designing and delivering large-scale distributed applications. Strong understanding of cloud architecture on Microsoft Azure (for example: AKS, Functions, API Management, Key Vault, Application Insights).Solid background in software engineering (ideally .NET) and modern integration patterns (REST, messaging, event ...

innovation for a better world together, anything is possible. Aufgaben Lam is seeking a Senior Cloud Architect to lead our evolution of AWS and Azure into true internal developer platforms-secure, reliable, and frictionless foundations that enable product teams to ship customer value rapidly and safely. You will … golden paths") that scale across Lam. What you'll do Platform Architecture & Strategy Own the cloud platform reference architecture and roadmaps across AWS and Azure; align with enterprise architecture, security, data, and app teams. Define and maintain golden paths (IaC modules, pipeline templates, reference stacks) for common workloads (containers ...

solutions. Build and maintain production-ready Python services, SQL transformation layers, star-schema data models, and API integrations across relational databases and cloud storage (Azure Data Lake).Optimise pipeline performance, system reliability, compute efficiency, and AI token costs, while establishing robust monitoring, logging, alerting, and incident-response practices. Enhance … Advanced proficiency in Python and SQL, including clean object-oriented design, Pandas, query optimization, and REST API integrations. Hands-on experience within the Microsoft Azure ecosystem (Azure Data Factory, Azure SQL, ADLS), Azure DevOps, Git, CI/CD pipelines, and automated testing. Proven track record ...

hours support needs through engineering and AI toolsets. What do you need to succeed? Must-haveExperience supporting scalable, high-performance data platforms in hybrid (Azure) environments, including data lifecycle management, RDBMS, NoSQL, data warehouses, and cloud infrastructure principles. Hands-on experience with SQL/ETL tools, CI/… ability to work under tight deadlines. Databases & Tools knowledge: Microsoft SQL Server (administration, T-SQL, DML, DDL, SSIS), Databricks, Power BI.Experience in Azure Technologies: ADLS, ADF, Azure SQL Database, Delta Lake, Azure DevOps, Logic Apps, Function Apps, Key Vaults, Storage Accounts. Infrastructure & Automation: Terraform, Python/PySpark. ...

first and event-driven integration strategies. Promote composable architecture and platform engineering practices. Cloud Native & Platform EngineeringDefine cloud transformation strategies leveraging AWS, Microsoft Azure, Google Cloud Platform, and hybrid cloud environments. Lead cloud-native modernization initiatives using microservices, containers, Kubernetes, serverless, and DevSecOps. Design resilient, scalable, and secure enterprise … Data & AI platforms Integration architectures Digital operationsExperience with enterprise architecture frameworks such as TOGAF, Zachman, or similar. Strong knowledge of cloud platforms including AWS, Azure, and GCP.Experience with modern engineering practices including DevSecOps and platform engineering. Excellent executive communication and stakeholder management skills. Ability to influence C-level decision ...

/C++ libraries or services. Knowledge of systems programming, operating systems, networking, or embedded software. Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Familiarity with Docker, Kubernetes, and containerized applications. Knowledge of messaging systems such as Kafka, RabbitMQ, or NATS. Experience with performance profiling ...

human identities: service accounts, API credentials, certificates, and secrets — including lifecycle governance, vaulting, and distributed secrets via external-secrets patterns (e.g., AWS Secrets Manager, Azure Key Vault). Apply AI-assisted tooling and analytics to improve anomaly detection, provisioning accuracy, and audit evidence of quality, while maintaining governance … separation of duties, access certification, privileged session management, and break-glass procedures. Familiarity with directory services and cloud identity platforms (e.g., Entra ID/Azure AD, Active Directory, Amazon AWS) and common enterprise environments (Linux, Windows Server). Experience supporting audit or regulatory engagements (SOX, Dodd Frank, SOC2), including ...

certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF 9/10 or equivalent … NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI).Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain ...

data lakes. Practical experience with Google Cloud tools such as BigQuery, Dataflow, Dataproc, Pub/Sub, Composer and Dataplex, or comparable services within Azure or AWS.Strong knowledge of SQL, databases, metadata management and data governance. Experience working with CI/CD toolsets, Kubernetes, release management, automated testing and cloud ...

support retention and archival. Owning the SQL estate end-to-end as the senior practitioner security model design and rollout (EntraID groups for Azure SQL, Active Directory groups for SQL on VM, role-based access controls, elimination of shared/admin accounts), backup and restore strategy, retention and archival … architecture review helping the entire delivery team be the best that they can be. Contributing to forward planning for the SQL estate direction Azure SQL adoption, on-prem retirement, tooling roadmap (e.g.dbt, Redgate), and integration with new business systems (e.g.Workday integration currently in flight). Essential Skills: Expert-level ...

support retention and archival. Owning the SQL estate end-to-end as the senior practitioner security model design and rollout (EntraID groups for Azure SQL, Active Directory groups for SQL on VM, role-based access controls, elimination of shared/admin accounts), backup and restore strategy, retention and archival … architecture review helping the entire delivery team be the best that they can be. Contributing to forward planning for the SQL estate direction Azure SQL adoption, on-prem retirement, tooling roadmap (e.g.dbt, Redgate), and integration with new business systems (e.g.Workday integration currently in flight). Essential Skills: Expert-level ...

experience with automation tools (e.g. Ansible, Terraform) Proficiency in scripting languages (Python, Bash, PowerShell) Knowledge of containerisation (Docker, Kubernetes) Familiarity with cloud environments (AWS, Azure) Awareness of cybersecurity practices in secure system delivery Experience designing and maintaining pipelines in GitHub Actions, GitLab CI, Jenkins, or Azure DevOps Knowledge ...

support retention and archival. · Owning the SQL estate end-to-end as the senior practitioner — security model design and rollout (EntraID groups for Azure SQL, Active Directory groups for SQL on VM, role-based access controls, elimination of shared/admin accounts), backup and restore strategy, retention and archival … architecture review — helping the entire delivery team be the best that they can be. · Contributing to forward planning for the SQL estate direction — Azure SQL adoption, on-prem retirement, tooling roadmap (e.g. dbt, Redgate), and integration with new business systems (e.g. Workday integration currently in flight). Essential Skills ...

place where you can grow, belong and thrive. We seek a highly skilled and certified Cloud Infrastructure Solution Architect with expertise in Azure, AWS, and GCP cloud technologies to join our Pre-Sales team. The ideal candidate will have proven experience in Sovereign Cloud, cloud architecture, cloud migration … validation. Assist with developing and documenting cloud governance processes and tools. Mandatory Skills: Strong expertise in Cloud Migration, Cloud Networking, Kubernetes. • Proven experience with Azure and GCP core services, networking, storage, compute, and security. Familiarity with containerization (Docker) and orchestration (Kubernetes). • Proficiency in scripting languages (Python, PowerShell, Bash ...

data services using Kafka, Kinesis, Spark, Flink or equivalent technologies . Build and maintain cloud-native data platform capabilities using AWS and/or Azure . Support data ingestion, processing, storage and integration across multiple systems. Develop and maintain data models, schemas and platform data structures . Support schema … Kinesis or equivalent. Experience with distributed data processing technologies such as Spark, Flink, Kafka Streams or equivalent. Strong experience with AWS and/or Azure cloud environments. Experience with cloud services such as S3, Glue, Lambda, RDS, Athena, EC2 or Azure equivalents. Strong understanding of data platform architecture ...

capabilities across the enterprise. Key responsibilities include: Designing scalable, secure and cost-effective data, analytics and AI architectures Leading cloud transformation initiatives across AWS, Azure and GCP environments Developing AI-enabled solutions, Proofs of Concept and MVPs that deliver measurable business value Defining enterprise data and AI strategies, governance … transformational outcomes Supporting business development activities, proposals and thought leadership initiatives To be successful, you will have: Strong experience in cloud architecture across AWS, Azure and/or GCP Expertise in cloud-native technologies, including containers, Kubernetes and serverless platforms Experience with Infrastructure-as-Code, DevOps and CI/ ...

clearance for this roleDesirable Skills- Public sector or regulated industry experience (government, healthcare, financial services or similar)- Experience across multiple cloud platforms, including AWS, Azure or Google Cloud Platform- Deep hands-on experience with Infrastructure as Code technologies such as Terraform, CloudFormation- Experience implementing modern CI/CD pipelines … automation tooling such as GitHub Actions, Azure DevOps, Jenkins or GitLab- Experience designing and implementing cloud landing zones, platform engineering capabilities and cloud operating models- Strong understanding of cloud networking, identity, security and resilience patterns- Experience supporting cloud engineering, DevOps or Site Reliability Engineering (SRE) transformations- Cloud architecture certifications ...

ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure, AWS, GCP, Snowflake) and their integration with Databricks. Experience with data ingestion, transformation, and quality control processes. Excellent problem-solving skills and the ability to think critically under … projects, as well as a familiarity with different development methodologies and disciplines (e.g. Agile, Waterfall Scrum, DevOps, Testing).Experience of DevOps and infrastructure deployments (Azure and Databricks).Ideally, you'll also have: Delivery experience using the following technology: SAS (SAS EG, SAS DI, SAS Viya).Relational Databases and Data ...

infrastructure, platform engineering, systems administration, DevOps, or related technical rolesCloud Technologies: Practical experience working with at least one major cloud platform, such as AWS, Azure, Oracle Cloud Infrastructure (OCI), or Google Cloud Platform (GCP). Prior OCI experience is beneficial but not essential, as training will be providedInfrastructure & Networking … such as Terraform, Ansible, or similar technologiesDevOps Tooling: Familiarity with source control, CI/CD pipelines, and modern software delivery practices. Experience with Git, Azure DevOps, GitHub, Jenkins, containers, or Kubernetes would be advantageousProblem Solving: Strong analytical and troubleshooting skills, with the ability to investigate technical issues and identify ...

/CD pipelines, automation, and orchestration tooling. Strong expertise in containerisation and orchestration (Docker, Kubernetes, OpenShift/Tanzu)Deep knowledge of cloud environments (AWS, Azure) and hybrid deploymentsExperience embedding cyber security controls and DevSecOps practices into pipelines and infrastructureProficiency in scripting and automation (Python, Bash, PowerShell)Familiarity with accreditation … assurance, and governance requirements in secure environmentsDesirable: Recognised expert certifications (e.g. Kubernetes CKA/CKAD, AWS/Azure Architect, HashiCorp Terraform/Vault)Experience influencing organisational DevOps standards and best practicesContributions to research, publications, or professional forums in DevOps/automationKnowledge of service mesh, GitOps, and policy-as-code ...

/CD pipelines, automation, and orchestration tooling. Strong expertise in containerisation and orchestration (Docker, Kubernetes, OpenShift/Tanzu) Deep knowledge of cloud environments (AWS, Azure) and hybrid deployments Experience embedding cyber security controls and DevSecOps practices into pipelines and infrastructure Proficiency in scripting and automation (Python, Bash, PowerShell) Familiarity … with accreditation, assurance, and governance requirements in secure environments Desirable: Recognised expert certifications (e.g. Kubernetes CKA/CKAD, AWS/Azure Architect, HashiCorp Terraform/Vault) Experience influencing organisational DevOps standards and best practices Contributions to research, publications, or professional forums in DevOps/automation Knowledge of service mesh ...

with at least 3 years in deploying and managing containerized applications on Kubernetes. Advanced knowledge with at least one specific Kubernetes distribution (Amazon EKS, Azure AKS, RedHat OpenShift, etc.).Eligibility for UK Security Check (SC) clearance is required; existing clearance is a strong advantage. Very good understanding of best … additional tools such as ArgoCD, Jenkins, GitHub Actions, Ansible, etc., is a plus. Experience with at least one of the major cloud platforms (AWS, Azure, GCP) would be a plus. Experience & interest in working with modern tech stack & methods like REST/SOAP API-Management, Data Ingestion & Streaming (Kafka ...

Spring Boot, and microservices Experience working in agile environments with DevOps practices and CI/CD pipelines Knowledge of cloud platforms such as AWS, Azure, or GCP Familiarity with containerisation technologies (Docker, Kubernetes) or serverless architectures Experience with automated testing frameworks and modern development practices Understanding of software architecture ...