1 to 25 of 64 Permanent Azure Jobs in the City of Westminster

skills, including unit and integration testingHands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)Experience with large-scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake ...

Solid programming experience with programming languages like Python along with proficiency in SQL. \nExperience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc.Solid grasp of Kubernetes, CI/CD and Terraform.Working knowledge of ETL and ELT frameworks ...

approaches is highly desirable.Experience supporting compliance initiatives involving standards and regulatory frameworks.\n Key Skills: \n \n Advanced knowledge of cloud security across Microsoft Azure, AWS, Google Cloud Platform (GCP), and Microsoft 365. \nExpertise in Zero Trust security principles and secure-by-design methodologies.Strong understanding of identity and access ...

REST APIs, distributed systems, and database designFamiliarity with SQL and NoSQL databasesExperience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure)Knowledge of containerisation technologies like Docker and orchestration tools such as KubernetesExperience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ...

years of recent, hands-on professional experience actively coding as a data engineerHands-on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure)Experience writing Python using object-oriented programming and unit/integration testing practicesExperience with SQL and familiarity with SQL-based workflow management tools such ...

mobile, etc. \n - Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure, at meaningful scale. \n Preferred qualifications, capabilities, and skills \n - Expertise in the Kubernetes operator pattern. \n - Expertise deploying infrastructure as code, using Crossplane ...

Software development skills using Linux or WSL · SIEM and log routing experience in tools such as Splunk, Sentinel, Cribl, and ELK · Familiarity with AWS, Azure, and GCP services · Proficiency in scripting or programming (Python, Bash, PowerShell) · Excellent problem-solving, analytical, and communication skills · Experience with IDS/IPS solutions ...

/ELT processes and architecture in data pipelinesExperience building models for dashboard or cube consumptionFamiliarity with cloud-based data lake platforms such as AWS, Azure, or Google CloudBachelor's degree in computer science, data science, information systems, business analytics, or related discipline\n Preferred qualifications, capabilities, and skills ...

Infrastructure/DevOps/SRE \nUtilise your experience withInfrastructure as Code tools like Terraform or Cloud formationExperience with Cloud technologies such as GCP or Azure (required)An appreciation of Infrastructure as Code, and CI/CD toolingScripting responsibilities with languages such as Shell, Bash, or Python etcDemonstrate yourGreat communication ...

machine learning, mobile, etc.Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure\n Preferred qualifications, capabilities, and skills \n \n Expertise in the Kubernetes operator pattern \nExpertise deploying infrastructure as code, using Crossplane, Terraform, or equivalentExperience ...

Strong software development experience in one of Java, Scala, or Python \n • Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks. \n • Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment \n • Proficient ...

software engineering best practices (CI/CD, testing, code reviews etc). \n\n \n Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. \n\n \n Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal ...

frameworks such as TypeScript, JavaScript, Node.js, and Angular Deep understanding of software architecture principles, patterns, and design methodologies Experience with cloud platforms such as Azure, AWS, or GCP Strong knowledge of microservices and distributed systems Experience with relational and NoSQL databases Familiarity with DevOps practices including CI/ ...

/or Java for backend service development \n LLM integration experience - OpenAI, Anthropic, or equivalent APIs MCP, REST APIs, Microservices Architecture Cloud platforms - AWS, Azure, or GCP Preferred\n \n Agentic framework experience - LangChain, LangGraph, AutoGen, or similar \n RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector ...

scikit-learn.Strong understanding of data preprocessing, feature engineering, and evaluation techniques.Experience working with large, complex datasets and applying statistical analysis.Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).Experience managing data science teams and coaching team members.Problem-solving skills and ability to work independently ...

Familiarity with GraphQL or other modern data-fetching technologies. Experience in integrating message brokers (e.g., RabbitMQ, Kafka). Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of microservices architecture and related tools. Experience with testing frameworks like Mocha, Chai, or Jest. Familiarity with front-end technologies ...

Python programming languages \nDeployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission ...

Experience authoring and governing technical documentation \n\n \n Strong experience with CI/CD, source control, and release management (Git, Azure DevOps, branching strategies) \n\n \n Experience using issue and work‐tracking tools such as JIRA \n\n \n Certified in Guidewire v10 Integration and Configuration ...

gather evidence and validate risk assessments.Experience operating within Agile and multidisciplinary delivery environments.Knowledge of cloud security risks and controls across platforms such as Azure, AWS, or Google Cloud is beneficial.Experience within Local Government, the wider public sector, or regulated environments would be highly advantageous.Experience using data and reporting tools ...

before they arise and responding decisively when challenges emerge.Hands-on experience implementing cloud-native or cloud-hosted solutions, with knowledge of platforms like AWS, Azure, or GCP.Demonstrated ability to introduce and scale new ideas, tools, or processes that improve customer outcomes or delivery efficiency.Strong sense of organisational context ...

design and hands-on experienceKnowledge of modern microservice architecture and conceptsHands-on experience with Docker containersExperience with at least one cloud provider: AWS, Azure, or GCP (AWS preferred) Experience creating CI/CD pipelines with tools such as Jenkins or GitHub Actions (Jenkins preferred)\n Preferred Qualifications, Capabilities ...

Python programming languages Deploy production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilize cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission ...

verbal communication skills in English Preferred qualifications, capabilities and skills \n Understanding of distributed systems and microservices architectureUnderstanding of cloud technologies (AWS, GCP, Azure, etc.)Understanding of messaging frameworks (Kafka, RabbitMQ, etc.)Experience in automating deployment, releases and testing in continuous integration, continuous delivery pipelines\n #ICBCareers #ICBEngineering ...

optimize systems for latency, cost, and reliability, and to take AI agents from research to productionStrong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practicesProficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage ...

from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and costStrong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and KubernetesProficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis ...