76 to 100 of 4,276 Permanent Microsoft-Azure Jobs

Working Hours: 40 hours per week (Full-time) Are you looking to build innovative data engineering solutions using PySpark, Microsoft Fabric, and Azure technologies? We have an exciting opportunity for you - Developer (PySpark + Fabric) Careers at TCS: It Means More TCS is a purpose-led transformation … with data architects, domain experts, quality engineers, and business stakeholders, you will deliver scalable, high-performance solutions using PySpark, Microsoft Fabric, and Azure technologies. Key Responsibilities Design, develop, and maintain PySpark data pipelines to ingest, transform, and master financial instrument and reference data. Implement and optimise ...

telemetry (audit logs, sign in-logs, access data) and translate insights into actionable improvements Extensive hands-on-experience with Microsoft Entra ID (Azure AD), including: Users, Groups (static & dynamic), roles, service principals, app registrations Directories, Tenants, Objects, and Attribute Structures Conditional Access policies, SSO (SAML & OIDC), Access … experience in Privileged Access Management (PAM) such as CyberArk, StrongDM: User and group management, OU design, Group Policy Objects (GPOs) Hybrid identity integration (Azure AD Connect/Cloud Sync) Password rotation policies Different types of service accounts for on-premises and cloud use cases (SVC, gMSA ...

M365 Administrator Expert or Power Platform Solution Architect Experience with Microsoft Intune, Microsoft Purview, and AI Foundry tooling Knowledge of Azure Automation, Logic Apps, or Functions Experience with DevOps/ALM practices for Power Platform and low-code solutions Experience working in highly regulated, security-conscious ...

production support teams. Required Skills & Experience Data Engineering & Development Strong expertise in SQL database development and optimization. Hands-on experience with: Snowflake DBT Azure Data Factory Python Experience designing and developing enterprise-scale data pipelines and integrations. Strong knowledge of data modeling, data warehousing, and ETL/… optimize solutions handling large data volumes. Cloud & DevOps Experience with cloud-native data platforms, preferably on Microsoft Azure. Strong knowledge of: Azure DevOps Git CI/CD pipelines Automated deployment practices Experience implementing engineering best practices, testing, and release management processes. Software Engineering Ability to develop well ...

from APIs and services through to responsive, accessible user interfaces. Cloud Native Delivery: Develop and run cloud‐native applications on Microsoft Azure, using PaaS services, containers and infrastructure‐as‐code. Data‐Driven Features: Consume data through APIs and services to surface it in usable, performant ways … design and strong SQL. Frontend: Practical experience building modern user interfaces with React or Angular and TypeScript. Cloud & DevOps: Hands‐on experience with Azure, CI/CD tooling such as Azure DevOps or GitHub Actions, and infrastructure‐as‐code (Terraform). Standards & Security: Experience building ...

from APIs and services through to responsive, accessible user interfaces.* **Cloud Native Delivery:** Develop and run cloud-native applications on Microsoft Azure, using PaaS services, containers and infrastructure-as-code.* **Data-Driven Features:** Consume data through APIs and services to surface it in usable, performant ways … design and strong SQL.* **Frontend:** Practical experience building modern user interfaces with React or Angular and TypeScript.* **Cloud & DevOps:** Hands-on experience with Azure, CI/CD tooling such as Azure DevOps or GitHub Actions, and infrastructure-as-code (Terraform).* **Standards & Security:** Experience building ...

Frameworks, Middleware Technologies (MuleSoft, Boomi, Kafka, API-led Integrations), Data Warehousing & Data Lake Architecture, Data Governance, MDM, Data Quality & Metadata Management, SQL, Python, Azure DevOps, Jira, Confluence, CI/CD, Agile Delivery Job/Role Description Lead the design and implementation of Databricks-based data platforms … data governance frameworks; Data Mesh and Data Product concepts. Experience with real-time streaming using Kafka or Kinesis; Informatica IDMC, Talend, or Azure Data Factory. Knowledge of healthcare, life sciences, retail, manufacturing, or financial services domains. Exposure to GenAI and enterprise AI adoption initiatives What Success Looks Like ...

Tableau Process modelling tools such as Visio, Lucidchart or BPMN APIs and integration concepts Oracle Integration Cloud (OIC) Agile methodologies Jira or Azure DevOps Oracle University, Business Analysis or Agile certifications Client-facing, internship or consulting experience Technical Interest An interest or foundation in areas such as: Business ...

Python or similar programming languages, and business intelligence tools (e.g. Power BI, or equivalent). Experience using data platform and integration tools (e.g. Azure Data Factory, Databricks, Synapse, or equivalent cloud-based services) to develop scalable data pipelines and reporting datasets. Ability to design and produce high-quality … continuing professional development Degree in Data, Computer Science, Engineering, Information Systems or related discipline Desirable Relevant cloud, data or architecture certifications (e.g. Azure Data Engineer, AWS, TOGAF) Partnerships & Communities Essential Experience working across organisational boundaries to deliver shared outcomes in complex systems. Ability to build and maintain effective ...

model performance, infrastructure health and ensure reliability, scalability, and security of ML systems Develop CICD processes to help automate workflows using tools like Azure DevOps Write high‐quality, well‐tested Python for production‐grade data pipelines and services. Deliver data extracts, transformations, and features to support modelling … this role. 2. Cloud & Infrastructure Engineering Experience building or supporting cloud infrastructure for data or predictive services, ideally including: Terraform (highly desirable) Azure (preferred), or other public cloud platforms Infrastructure patterns for scalable, secure services 3. CI/CD Automation Experience with: Azure DevOps or GitHub ...

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 … prompt‐injection defenses, supply chain security for open‐source/open‐weight models. Solutions‐architect level expertise in at least one hyperscaler (AWS, Azure, or GCP), including their native AI/ML services. Ability to design for hybrid on‐premises/cloud AI deployments, including data residency ...

plus): .NET/ASP.NET Core C# IIS Administration SQL Server T-SQL and PL/SQL PowerShell scripting JavaScript legacy frameworks (including AngularJS) Azure DevOps Windows Server administration API integrations with enterprise Microsoft technologies Work Environment Remote or hybrid work environment based on program requirements. Clearance Requirements ...

home to Data Engineers, Platform Engineers, DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise ...

understanding of software engineering fundamentals, including object-oriented programming, testing, and application design Experience building and deploying applications in cloud environments such as Azure, AWS, or GCP A willingness to work across different technologies and learn new skills as project requirements evolve It would be nice to have ...

software development. You will work predominantly on client projects, designing and delivering production-grade applications that integrate large language models, agentic systems and Azure AI services. This is more than a delivery role. As a senior member of the team, you will help define and prove … Responsibilities AI Solution Delivery Lead the design, development and deployment of AI-integrated solutions for client engagements using modern full-stack technologies. Integrate Azure AI services, including Azure OpenAI, Cognitive Services, Azure Machine Learning and AI Search, into production applications. Architect and build ...

Java or Python development skills * Experience with Kafka, Flink or Spark * Experience building ETL/ELT or streaming data pipelines * Knowledge of AWS (Azure or GCP also considered) * Experience with Docker, Kubernetes and CI/CD tools * Familiarity with Infrastructure as Code, ideally Terraform Desirable * Experience with Databricks … Snowflake or BigQuery * Cloud certifications (AWS, Azure or GCP) * Experience mentoring junior engineers or working in a consulting environment This is an excellent opportunity to work on complex, large-scale data projects using modern cloud technologies while continuing to develop your technical skills within a collaborative engineering team. ...

execute scalable, secure, and cost‐effective network and cloud strategies. The role encompasses oversight of migration activities to public cloud platforms (AWS, Azure, Google Cloud), integration with private cloud and on‐premises environments, and the establishment of architecture standards and frameworks. Responsibilities Define and maintain enterprise architecture frameworks … cloud solutions. Essential Skills Proven experience architecting and leading large‐scale network and cloud transformation initiatives. Deep expertise in public cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud architectures. Strong background in enterprise network design, including routing, switching, security, and automation. Ability to establish and enforce design ...

Enterprise Architect and Chief Engineer, you will design, evolve, and maintain a secure, scalable, and interoperable data architecture, leveraging cloud services from AWS, Azure, and OCP where appropriate. This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams … environment. Essential Skills and Experience Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. Experience designing and supporting implementation ...

digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP and continue to grow and are looking for talented individuals who want to join our high performing team, if you would like … solving skills and attention to detail.Strong communication and collaboration skills. Preferred Qualifications: Experience with relational databases, especially PostgreSQL. Knowledge of cloud platforms: AWS, Azure, or Google Cloud Platform. Familiarity with Agile methodologies and DevOps culture. Exposure to data visualization tools (Power BI, Fabric) or custom dashboards. About Capgemini ...

scalable, secure, and cost-efficient data, analytics, and AI ecosystems that support both human and autonomous agent workloads, leveraging leading cloud platforms (AWS, Azure, GCP). We ENABLE agentic and hybrid cloud transformation – Modernise legacy systems into AI-native, agent-enabled architectures, integrating hybrid data platforms that support … Solid understanding of data and AI technologies A learning mindset with interest in emerging technologies Key experience: Extensive years in cloud architecture (AWS, Azure, GCP), including hybrid/multi-cloud Expertise in cloud-native technologies (containers, Kubernetes, serverless) Experience with Infrastructure-as-Code and CI/CD automation ...

with Python, SQL, Spark and modern data engineering frameworks. Experience deploying machine learning models into production. Strong knowledge of cloud platforms such as Azure, AWS or GCP. Experience with Databricks, Snowflake or similar data platforms. Knowledge of Infrastructure as Code tools such as Terraform. Experience with Kubernetes, Docker ...

entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform or Kubernetes Experience building ...

different technologies as needed Strong understanding of Agile and DevOps practices, including CI/CD Experience with cloud platforms such as AWS, Azure, or GCP Familiarity with infrastructure as code (e.g. Terraform) Experience with modern architectures such as microservices, containerisation (Docker/Kubernetes), or serverless Knowledge of automated ...

Zeebe ) clusters and Operate/Tasklist components Familiarity with Camunda connectors, external task workers, and scripting extensions Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Helm) Experience integrating process automation with case-management or service-orchestration platforms Understanding of event-driven design and message ...

Essential: Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP. Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud‐based architectures. Bachelor ...