3,326 to 3,350 of 5,836 Permanent Microsoft-Azure Jobs

tools, frameworks, and cloud solutions to keep us ahead of the curve Expand your expertise across diverse technical domains and architectures What You'll Bring: Proven experience with Azure and modern infrastructure management tools (Ansible, Chef, etc.) Strong hands-on experience with Terraform, Docker, and Kubernetes/OpenShift/Docker Swarm Deep understanding of CI/CD pipelines More ❯

with clients during high-pressure situations What You'll Need At least 5 years' experience with strong capability across: Windows Server, Active Directory, Domain Controllers, Exchange Office 365, Azure/Entra Firewalls, VPNs and switches Veeam or similar backup technologies VMware or Hyper-V virtualisation Desirable experience includes cyber security certifications (CREST or equivalent), AWS, vulnerability scanning tools More ❯

using tools like Visio or Confluence. Ability to work independently, manage ambiguity, and deliver results in complex environments. Familiarity with agile methodologies and tools such as Jira or Azure DevOps. Preferred Qualifications: Professional certification in Business Analysis (CBAP, CCBA, PMI-PBA, or IIBA Hands-on experience with HR systems such as Workday, SAP SuccessFactors, or Oracle HCM. Strong More ❯

of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with the operational business and other departments, translating technical concepts and More ❯

and made significant contributions to at least two additional project implementations within the past 6 years. 6. Hands-on experience with project management and collaboration tools (e.g., Jira, Azure DevOps, MS Project, Power BI, or equivalent) for dashboards, reporting, and issue tracking. 7. Strong working knowledge of Agile/SCRUM methodologies and experience facilitating Agile practices in hybrid More ❯

database architecture understanding, query optimization skills. Experience with messaging systems like RabbitMQ and Kafka. Familiarity with API design principles, data structures, and algorithms. Cloud deployment experience (AWS preferred; Azure transferable). Proactive problem-solving skills, independence, and accountability Creative thinking, and high attention to detail Bonus/Nice-to-have: TypeScript experience for large-scale applications. UX/ More ❯

and SQL; confident with modern ML/AI libraries such as scikit-learn, TensorFlow, or PyTorch Familiarity with MLOps frameworks, model deployment, and cloud-based platforms (Databricks, AWS, Azure) Strong experience with data visualisation tools and techniques; able to turn complex results into accessible insights Excellent communicator; able to explain technical concepts to non-technical audiences with clarity More ❯

analytics engineering. Experience building, maintaining, and optimizing enterprise-scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark and Airflow; Azure preferred. Strong Python skills for data processing combined with a pythonic mindset. Proficient in SQL. Knowledge of DevOps and DataOps. Video game domain knowledge is important - as an experienced More ❯

with Fivetran and dbt. Good understanding of data modelling, governance, and security best practices. Familiarity with orchestration tools such as Airflow or Prefect (advantageous). Experience working in Azure (or AWS/GCP). Strong analytical and collaboration skills, with great attention to detail. A degree in Computer Science, Data Engineering, or relevant experience. Perks & Benefits: 2 x More ❯

Salesforce SaaS Applications is an advantage. API product experience will be a further advantage. Demonstrable experience of working with Agile teams. Practical experience with Agile tools such as Azure Devops or JIRA/Confluence. Technical expertise A thorough understanding of how to develop a digital platform. An understanding of delivering responsive design, SEO, web analytics, APIs, digital CMS More ❯

Salesforce SaaS Applications is an advantage. API product experience will be a further advantage. · Demonstrable experience of working with Agile teams. · Practical experience with Agile tools such as Azure Devops or JIRA/Confluence. Technical expertise · A thorough understanding of how to develop a digital platform. · An understanding of delivering responsive design, SEO, web analytics, APIs, digital CMS More ❯

automation • DBMS - SQL Server or any database • TFS/Git • XSLT Preferred Skills: • Angular or React (web framework) • Playwright or other UI automation framework • Node.js with TypeScript • Cloud (Azure or AWS) • OpenShift Docker container • Splunk • Duck Creek manuscript development and/or testing • ADO Pipeline • Kafka • Snowflake • Tableau • Python • GitHub Copilot About EIS: Since 1997, Exodus Integrity Services More ❯

and a proactive approach to identifying and mitigating security vulnerabilities during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent communication and collaboration skills to partner across More ❯

Jira, Confluence. Job responsibilities OpenShift based solutions for custom developed applications. Experience with containers and container management tools like Kubernetes in platforms like OpenShift, AWS (Amazon Web Services), Azure and GCP (Google Cloud Platform). Automate provisioning of both cloud based infrastructure and application deployment/configuration to support the development organization. Develop Cloud Native Architectures. Exposure to More ❯

. Exposure to or interest in AI-powered tools for test generation, defect triage, and visual diffing. Collaborative, self-driven, comfortable working in Agile teams using Jira or Azure DevOps, and confident in constructively challenging decisions. It would be great if you had Experience testing high-traffic consumer-facing applications Familiarity with TDD , BDD , NoSQL , performance and accessibility More ❯

+ 10 years or a master's (or equivalency) + 8 years of directly related work experience. Preferences • Database Certifications (Oracle, SQL Server, MySQL)• Cloud Certifications (Comptia, AWS, Azure, GCP, OCI)• Programming and Automation Experience (Shell Scripting, PowerShell, Python, etc.)• Technical Academic Degree• Experience with PeopleSoft Special Instructions Requisition Number: PRN43629B Full Time or Part Time? Full Time More ❯

test, and maintain data products and solutions that align with their requirements. You’ll be helping to develop and maintain a cloud-based data and analytics platform on Azure and help end-users of every level integrate their workflows between this and other platforms, including AWS-based solutions.You’ll combine data from different sources, and build data pipelines More ❯

Go requirement. ? Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. ? Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). ? Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). ? Knowledge of (or deep, demonstrable curiosity about More ❯

Go requirement. ? Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. ? Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). ? Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). ? Knowledge of (or deep, demonstrable curiosity about More ❯

this role you will responsible for: • Designing, developing, and researching ML systems • Studying, transforming, and extending data science prototypes • Searching cleaning, aggregating large data sets from Cloudera, AWS, Azure, Splunk • Application development and maintenance on Linux environments • Performing statistical data analysis • Iteratively training and retraining Machine Learning systems and models • Extending existing ML frameworks and libraries • Data visualization More ❯

this role you will responsible for: • Designing, developing, and researching ML systems • Studying, transforming, and extending data science prototypes • Searching cleaning, aggregating large data sets from Cloudera, AWS, Azure, Splunk • Application development and maintenance on Linux environments • Performing statistical data analysis • Iteratively training and retraining Machine Learning systems and models • Extending existing ML frameworks and libraries • Data visualization More ❯

feature development. Strong foundation in unit testing, clean code practices, SOLID principles, and software design patterns. Proficiency with relational databases (MSSQL, PostgreSQL) and cloud platforms (AWS, GCP, or Azure). It will be even better if you have... Familiariarity with Hexagonal software architecture and distributed systems architecture. Experience with other engineering fields such as Data Engineering. We are More ❯

a 'pilot' role using AI tools to amplify your productivity. Proven experience designing, deploying, and managing scalable AI solutions on at least one major cloud platform (AWS, GCP, Azure). Solid understanding of MLOps principles and experience with relevant tools (e.g., Docker, Kubernetes, MLflow) for building robust, production-ready systems. The Ideal Candidate Profile: This role is a More ❯

and CI integration. Strong automation knowledge across UI and API layers; experience with modern frameworks, asynchronous testing, test harness creation, and integration with CI/CD tools (Jenkins, Azure DevOps, GitHub Actions, etc.). Experience with API testing tools and frameworks (Postman, REST-assured, or similar) and service virtualization approaches. TDM experience: data masking, subsetting, synthetic data generation More ❯

optimisation. Proficiency in Python and/or R for modelling and visualisation. Experience working in cross-functional teams and translating data into strategy. Familiarity with cloud platforms like Azure Data Lake, AWS, or Google Cloud. A degree (or equivalent experience) in Data Science, Mathematics, Statistics, or similar. A passion for continuous improvement and data-led transformation. Desirable Experience More ❯