2,101 to 2,125 of 5,267 Azure Jobs

years of experience in information security with demonstrated depth in cloud security; minimum 3 years of hands‐on experience securing cloud environments (AWS, GCP, Azure, or equivalent) at scale. Bachelor’s degree in Information Security, Computer Science, or a related field, or equivalent practical experience. Specialized knowledge of cloud ...

Components (LWC), declarative automation. API based integrations, CI/CD pipelines, DevOps practices. Web application development (Java, front end technologies) Cloud platform exposure (AWS,Azure) Soft skills Strategic thinker with the ability to connect architecture to business value. Strong stakeholder management and communication skills at senior leadership level. Proven ...

prepared to sacrifice your work‐life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements Technical stack : Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, GitHub Actions. Observability : Experience implementing logging, metrics, and tracing frameworks. Security : Familiarity with best practices ...

network security, endpoint security and application security. Strong understanding of threat models, attack vectors and defence-in-depth strategies. Proficiency in cloud security (AWS, Azure security, or equivalent). Knowledge of security tools (SIEM, DLP, EDR, WAF, firewalls, etc.). Understanding of cryptography, encryption and security protocols. Familiarity with ...

life Strong Snowflake experience is preferred, and Databricks experience would be a bonus Practical hands-on experience of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Hands-on dataops experience (eg. ...

analysis and resilience planning. Experience designing human‐in‐the‐loop decision tools (explainability, constraints override, auditability, and traceable recommendations). Cloud platform experience (Azure/AWS/GCP) and building secure, scalable services. Experience with event‐driven architectures, streaming, and near‐real‐time optimisation. Experience with data science/ ...

hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector ...

plan and stay on top of output. Our target stack relies heavily on Python, containerisation, infrastructure as code, CI/CD and the Azure cloud. We work across the full spectrum of data sourcing and ETL to front‐end delivery. Project areas include the front office and internal tooling. ...

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 components Additional Preferred Qualifications: Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic ...

Demonstrable experience in code security analysis, vulnerability remediation, upgrading vulnerable packages and applying secure development practices. Practical experience managing Git-based version control and Azure DevOps, or equivalent, for build and deployment automation. Proven experience refactoring legacy systems, transitioning applications towards modern hosting or cloud platforms and managing associated ...

management (MDM) projects that shape overarching corporate data policies.**Technical & Business Skills*** Data Architect + Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). + Deep expertise in data integration patterns (ETL/ELT, API-led connectivity). + Strong capability to design distributed, highly available ...

enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar ...

levels. Experience facilitating workshops and driving successful outcomes. Knowledge of Agile and Waterfall delivery methodologies. Experience using Business Analysis tools such as Visio, Lucidchart, Azure DevOps or Jira. Excellent communication, influencing and presentation skills. The ability to manage multiple priorities and work independently. A proactive approach to problem solving ...

with the ability to influence and engage stakeholders across various functions and levelsPreferred qualifications, capabilities, and skillsExperience in testing Public cloud environments like AWS, Azure and GCP with proficiency in at least one platform.Experience in reverse engineering standalone, thick client and mobile applications.Proficiency in security concepts for both Windows ...

understanding of modern cloud environments, infrastructure-as-code, developer tooling, internal dev platforms (IDPs) and distributed systems architecture Familiarity with our tech stack: AWS, Azure, Terraform, Terragrunt, Pulumi, Kubernetes, Docker Strong knowledge of DevOps principles, CI/CD pipelines, and engineering best practices Experience driving operational excellence including reliability ...

growth. Extensive experience building and enhancing enterprise data platforms, such as data lakes, data hubs and operational data stores, ideally within cloud environments, with Azure experience being particularly beneficial. A good understanding of modern data integration approaches, including APIs, GraphQL, JSON and XML, alongside hands-on experience with tools ...

Business Process Outsourcing, Technology Outsourcing. Preferred Skills: Modern engineering delivery experience Knowledge and experience of Scaled agile delivery Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native integration solutions. Knowledge of data integration and ETL (Extract, Transform, Load) processes. Familiarity with DevOps practices and tools ...

customer outcomes. Proficient in programming, debugging, and problem-solving using SQL and Python. Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems ...

mandatory)** Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications* Familiarity with at least one major cloud provider (**AWS, GCP, or Azure**)This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.**What ...

agile development tools, techniques, and principles. Familiarity with Ansible and Terraform for infrastructure automation. Experience deploying, managing, and scaling applications in cloud environments (AWS, Azure, Google Cloud). Strong grasp of web security: encryption, authentication, authorization, and everything in between. How We Support Our Contractors An annualised rate ...

insurance or financial services sector.· Understanding of insurance broking workflows, systems, and regulatory landscape.· Familiarity with AI/ML technologies, cloud platforms (Azure), and data integration.· Strong stakeholder management and communication skills.· Proficiency in project management methodologies (Agile, PRINCE2, or PMP).# **What do we offer in return ...

hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector ...

Business Process Outsourcing, Technology Outsourcing. Preferred Skills: Modern engineering delivery experience Knowledge and experience of Scaled agile delivery Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native integration solutions. Knowledge of data integration and ETL (Extract, Transform, Load) processes. Familiarity with DevOps practices and tools ...

compliance posture. To be successful as a Software Engineer, you should have: Significant experience delivering production software Demonstrable experience with major cloud platforms (AWS, Azure, or GCP) Proficiency with modern CI/CD solutions such as GitHub Actions or GitLab CI Experience with frontend UI development, databases, backend development ...

continuous improvement.**Requirements:*** Several years’ experience in a BISO or senior security leadership/advisory role.* Strong cloud and application security experience (AWS, Azure, GCP; secure SDLC).* Hands‐on knowledge of security tooling (SIEM, SOAR, EDR/XDR, CSPM, SAST/DAST).* Experience embedding security into ...