776 to 800 of 4,558 Azure Jobs in the UK

and Kibana is desired. Deployment environment: Kubernetes, Docker, microservices. Experience on Talos Kubernetes is an advantage. Deployment experience in cloud-based environment AWS/Azure/GCP/OpenShift is an advantage. Experience with CI/CD pipeline - Jenkins etc is an advantage. Source Control (svn, github) and Ticketing More ❯

in the delivery process. You have experience with Cloud Native technologies on at least one of the major cloud providers (AWS, Google Cloud or Azure), with a focus on Infrastructure as Code. You have made use of build automation tools to support a CI/CD pipeline You keep More ❯

containment, eradication, and recovery from security incidents. You have strong expertise in AWS and GCP, with experience in multi-region and hybrid cloud architectures; Azure is a plus. Excellent understanding of networking protocols, TCP/IP, and network security concepts. Strong programming/scripting skills (e.g., Python, Elixir) for More ❯

work in python, go and SQL. Our code (tracked via github) deploys to GCP (Bigquery, Airflow/Composer, GKE, Cloud Run), dbt Cloud and Azure via terraform. We recognise this is a broad list; if youre not deeply familiar with some of these tools, wed like you to be More ❯

work in python, go and SQL. Our code (tracked via github) deploys to GCP (Bigquery, Airflow/Composer, GKE, Cloud Run), dbt Cloud and Azure via terraform. We recognise this is a broad list; if you're not deeply familiar with some of these tools, we'd like you More ❯

and large audiences Ability to juggle tasks and projects in a fast-paced environment Customer obsessed - Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP a plus but More ❯

for system design, troubleshooting and maintenance What are we looking for? Strong experience with a cloud provider (AWS preferred but we're open to Azure and GCP) Use of Terraform as infrastructure as code Comfortable using Python/Golang as a programming language Experience around building and maintaining production More ❯

in code reviews as necessary. What you'll bring You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code Existing experience with either TypeScript or Python, with a More ❯

2+ years of experience building cloud-based products. 2+ years of experience with at least one major cloud-based AI model development service, like Azure, Google Cloud's Vertex AI, or AWS platforms. Preferred Qualifications: Mastery of the English language, excellent communication and technical writing skills. Strong understanding of More ❯

tasks and projects in a fast-paced environment - Customer obsessed - Languages : English and Hebrew PREFERRED QUALIFICATIONS - Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP a plus but More ❯

problems It would be great if you also had experience in some of the following: Cloud technology training and certification, such as AWS or Azure A scaled agile framework certification, such as SAFe or Experience in full-stack technical design Mentoring junior engineers and nurturing their passion for engineering More ❯

problems It would be great if you also had experience in some of the following: Cloud technology training and certification, such as AWS or Azure A scaled agile framework certification, such as SAFe or Experience in full-stack technical design Mentoring junior engineers and nurturing their passion for engineering More ❯

and Master Data Management. Experience with integration patterns and methods like REST, JSON, XML or SOAP web services. Knowledge of SSO, RBAC, MFA in Azure AD and other modern authentication concepts. Up-to-date knowledge of cybersecurity threats, current best security practices, threat modelling and risk mitigation techniques. Ability More ❯

the shipping industry, including data analytics platforms. Hands-on experience with a variety of technologies such as Microservices, .NET Core, Angular, React, Node, Java, Azure/AWS/Docker, ML/AI frameworks, NoSQL, blockchain, and semantic technologies. Preferred qualifications, capabilities and skills: Strong problem-solving skills and the More ❯

available solutions Knowledge in one or more of the following: NoSQL technologies (Cassandra, ScyllaDB, ElasticSearch, Redis, DynamoDB, etc), Queueing system experience (Kafka, RabbitMQ, SQS, Azure Service Bus, etc) Working Experience with Containers and Dockerization, also K8S is a plus Knowledge and hands on experience in CI/CD solutions More ❯

available solutions Knowledge in one or more of the following: NoSQL technologies (Cassandra, ScyllaDB, ElasticSearch, Redis, DynamoDB, etc), Queueing system experience (Kafka, RabbitMQ, SQS, Azure Service Bus, etc) Working Experience with Containers and Dockerization, also K8S is a plus Knowledge and hands on experience in CI/CD solutions More ❯

and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). You are fluent in Spanish More ❯

in code reviews as necessary. What you'll bring: You are a very confident ML Engineer with cloud development experience (AWS/GCP/Azure) - this is a must. Proven ability to refactor and write performant, secure and clean code. Existing experience with either TypeScript or Python, with a More ❯

and generate insights using Databricks analytical tools and features Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop, test and deploy machine More ❯

Mender. An understanding of MQTT messaging protocol (Sparkplug). Experience with event-driven systems (State machine). API Implementation and utilisation. Cloud experience (ideally Azure), experience with any modern cloud technology is appreciated. A strong understanding of networks/networking fundamentals. What you'll do Contribution as a key More ❯

SDLC delivery methods including experience using tools such as JIRA or DevOps. Understanding of modern technology such as process automation (ServiceNow, Pega) or cloud (Azure, AWS) how it's delivered and used within the context of financial firms Consulting and Leadership Excellent ability to visualise, present, describe and use More ❯

Architect working across digital platforms, ideally within content, commerce, or media/OTT domains. Strong background in designing systems using cloud technologies (e.g., AWS, Azure, GCP). Familiarity with different architectural approaches, such as headless architecture and composable commerce frameworks, in addition to monolithic architecture. Experience with microservices architecture More ❯

layer and some background knowledge of Angular or other JavaScript frameworks such as React, Vue.js and native js will be useful. Strong experience of Azure/AWS technologies and cloud infrastructure. Experience of leading software development teams to define and utilise appropriate service APIs. Security Clearance Requirements The successful More ❯

tools (Kubernetes, Airflow, Spark, Kafka, etc.), data visualization tools (Tableau, Spotfire, PowerBI, Looker, etc.) is strongly preferred. Strong understanding of cloud technology (Google Cloud, Azure, AWS) and software development practices; familiarity with managing scientific tools and services is highly desirable. Significant participation in peer-reviewed research (both publication and More ❯

Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. • Oracle Database. • MongoDB. • Cloud Data Technologies (Mainly Azure - SQL Database, Data Lake, HD Insight, Data Factory etc.). • A collaborative team player, approachable, self-efficient and influences a positive work environment. • Demonstrates More ❯