976 to 1,000 of 3,187 Permanent Microsoft-Azure Jobs

Java Hands-on experience working with LLMs (prompt engineering, fine-tuning, embeddings, vector databases, RAG) Experience building and deploying applications in cloud environments (Azure preferred, AWS/GCP also considered) Strong understanding of APIs, microservices, and distributed systems Familiarity with tools like Docker, Kubernetes , and CI/ ...

security design, policies, test plans) Strong written and verbal communication skills Ability to manage change securely and effectively Experience with technologies such as Azure, M365, Intune, JAMF, Windows, macOS, Kubernetes Understanding of Agile, DevSecOps, and CI/CD in secure environments Awareness of working within secure or safety ...

thinking and problem-solving skills , with a pragmatic and delivery-focused mindset. Desirable Skills Experience working with major cloud platforms such as AWS, Azure, or GCP. Familiarity with containerisation and orchestration technologies (e.g. Docker, Kubernetes). Exposure to MLOps practices or deploying AI/ML models into production ...

systems across frontend, backend, and data layers Strong knowledge of distributed systems and complex integrations Hands-on experience with cloud platforms ( Azure preferred , AWS or GCP acceptable) Familiarity with Docker, Kubernetes , and modern deployment patterns Experience with CI/CD pipelines , automated testing, and Infrastructure as Code (e.g. ...

cloud costs without compromising performance or reliability Act as a champion for operational excellence across engineering teams Technical Skills Required Cloud experience with Azure (AWS experience a plus) Infrastructure as Code using Terraform Kubernetes (AKS), Docker, GitHub Actions Strong observability experience (logging, metrics, tracing) Solid understanding of networking ...

/Vision Language Models Audio processing Hands-on experience with Docker, Linux/Unix, Git, and testing frameworks Experience working with AWS or Azure Understanding of data governance and security best practices Proven ability to communicate complex technical concepts to non-technical stakeholders Desirable: Experience working with GPUs ...

years expertise in Databricks, Spark, and cloud data architecture Coding skills in Python and SQL . Experience with orchestration tools like Azure Data Factory and Databricks Workflows. Knowledge of lakehouse architectures , modern data engineering, and data warehousing principles. Understanding of data modelling, ELT/ETL pipelines, and testing ...

mentoring UI developers and working in cross-functional teams Solid understanding of databases and query optimization Preferred Qualifications Exposure to cloud platforms (AWS, Azure, or GCP) Experience with CI/CD pipelines and DevOps practices Strong problem-solving skills with the ability to operate in a fast-paced ...

Skills/Experience: Proven experience leading software engineering teams in complex, multi-system environments Strong background in cloud-native development across AWS or Azure Deep understanding of modern engineering practices including DevOps, CI/CD, TDD, and secure coding Experience delivering within Defence, government, or highly regulated environments ...

Proven experience designing and building scalable, distributed systems Strong experience with REST APIs, microservices architecture, and event-driven systems Cloud experience with Azure with knowledge of serverless and containerised architectures Solid understanding of DevOps practices, CI/CD, and infrastructure as code Experience working in Agile environments ...

Application modernization (legacy-to-web/platform transformation) API design and integration (REST, GraphQL, etc.) Database design and performance optimization Cloud platforms (AWS, Azure, GCP) CI/CD pipelines and DevOps practices Security best practices (application and data security) Knowledge of software testing strategies and automation The ideal ...

Proven experience designing and building scalable, distributed systems Strong experience with REST APIs, microservices architecture, and event-driven systems Cloud experience with Azure with knowledge of serverless and containerised architectures Solid understanding of DevOps practices, CI/CD, and infrastructure as code Experience working in Agile environments ...

experience Proven experience in enterprise-wide data architecture Deep understanding of data architecture principles, data modelling, metadata and MDM Experience with cloud platforms (Azure, AWS, Google Cloud) Strong SQL skills; Python desirable Excellent cross-functional stakeholder engagement Ability to lead on data governance, quality, and compliance Experience delivering ...

consultancy's technical communities and quality forums. Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ ...

scale Deep understanding of microservices architecture and service-oriented design Experience with containerized environments using Docker and Kubernetes Strong cloud experience with AWS, Azure, or GCP Expertise with relational and non-relational databases such as PostgreSQL, MySQL, Cassandra, or Elasticsearch Experience designing scalable APIs and backend services using ...

e.g. OpenAI, Anthropic or similar) Exposure to data pipelines, inference workflows, or retrieval-based systems (RAG, vector DBs or similar) Cloud & DevOps: AWS, Azure, or GCP Docker, CI/CD pipelines (GitHub Actions, GitLab CI or similar) Experience deploying and maintaining production systems is essential What they ...

Strong SQL and relational database knowledge • CI/CD pipeline exposure and DevOps practices • Familiarity with GitLab, Docker, and cloud platforms such as Azure • Understanding of modern engineering principles including automation, monitoring, and operational excellence • Strong collaboration and problem-solving skills For Lead Engineers, we are also looking ...

Vision/Vision Language Models Audio or multimodal AI Experience with Docker, Linux/Unix, Git, and testing practices Exposure to AWS or Azure for ML deployment Understanding of data governance and secure system design Nice to have: GPU utilisation in cloud environments Monitoring and observability ...

client requires experience deploying GenAI models into production using Kubernetes (or OpenShift) and establishing robust CI/CD pipelines via Jenkins, GitLab, or Azure DevOps. The AI Safety Advocate: A working knowledge of Guardrails is key. You should understand how to assess the performance and safety of GenAI ...

improvement Key Requirements Strong programming capability in Python Experience building and deploying machine learning models and pipelines Experience with cloud platforms (AWS or Azure preferred) Practical experience with Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented ...

custom solutions. Strong Python (or other modern programming language) skills with production API/service development experience. Knowledge of cloud platforms (AWS, GCP, Azure), distributed systems, and CI/CD pipelines. Strong data manipulation skills (SQL, pandas) and experience evaluating AI system outputs. Ability to work with ambiguity ...

improvement Key Requirements Strong programming capability in Python Experience building and deploying machine learning models and pipelines Experience with cloud platforms (AWS or Azure preferred) Practical experience with Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented ...

design, integrations, and middleware technologies Strong knowledge of payment systems, including EMV and PCI-DSS compliance. Proficiency in cloud platforms such as AWS, Azure, or GCP Strong understanding of databases (SQL/NoSQL) and data flow design Experience with DevOps practices, CI/CD pipelines, and containerization (Docker ...

improvement Key Requirements Strong programming capability in Python Experience building and deploying machine learning models and pipelines Experience with cloud platforms (AWS or Azure preferred) Practical experience with Docker, Linux/Unix CLI, Git, and testing Understanding of modern AI approaches, including: Agentic AI systems RAG (Retrieval Augmented ...

client requires experience deploying GenAI models into production using Kubernetes (or OpenShift) and establishing robust CI/CD pipelines via Jenkins, GitLab, or Azure DevOps. The AI Safety Advocate: A working knowledge of Guardrails is key. You should understand how to assess the performance and safety of GenAI ...