1,351 to 1,375 of 3,085 Azure Jobs in London

management, OTA, or marketplace technology. Knowledge of booking, inventory, availability, pricing, payments, distribution, or property‐management systems. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with event‐driven architecture, microservices, data platforms, and integration technologies. Experience with payment, identity, CRM, analytics, or third‐party marketplace ...

testing concepts, methodologies and processes Knowledge and experience working with Docker Experience with C#/.NET environment Familiarity with .NET Aspire Practical knowledge of Azure DevOps (ADO) for managing CI/CD workflows and deployment pipelines Exposure to AWS services, with an interest in working within a modern cloud ...

with training and development in some areas! JavaScript frameworks (React, NextJS) TypeScript Python Java REST API development OpenAPI/Swagger Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Unit testing and automation Testing frameworks (e.g. ...

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 ...

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 ...

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 ...

e.g., BSc, CKAD, Google Associate Cloud Engineer, or AWS Certified Solutions Architect). Expert-level administration of a major cloud platform (GCP, AWS, or Azure). Mastery of Kubernetes administration and operator patterns. Strong cloud networking expertise across the OSI networking model. Strong proficiency in Infrastructure as Code ...

significantly improving CI/CD pipelines and automation systems. Experience with CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, Buildkite, Azure DevOps, or similar. Experience with build tooling and concepts such as dependency management, caching, incremental builds, artifact management, and reproducible builds. Strong experience working with ...

standards—JSON-LD, RDF, OWL, or SKOS. Strong Python skills and experience with data pipeline frameworks. Experience with cloud-native data platforms (AWS, Azure, or GCP). Nice-to-have Exposure to domain-driven design (DDD) and bounded contexts. Experience working directly with ontologists or knowledge engineers. Familiarity with ...

Snowflake, DBT and SqlDBM, including data modelling and schema design* AWS architecture, including EC2, RDS, databases, SQS, Kinesis, S3 and Lambda, plus familiarity with Azure* Experience with real-time ingestion, streaming and processing technologies, API design, graph databases, and AI-enabled solutions including MCP* Familiarity with Tableau, GitHub, Jira ...

teams). Strong understanding of the software development lifecycle (SDLC) and modern engineering practices. Hands‐on experience coordinating delivery in cloud-native environments (AWS, Azure, GCP). Familiarity with microservices, APIs, CI/CD pipelines, DevOps practices, and modern cloud architectures. Experience supporting incident response and post‐incident delivery. ...

software engineering and strong Python skills, focusing on building robust, reusable systems You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure You’ve extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications ...

hands on experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face Experience working with cloud‐based data and AI platforms, particularly Azure and Databricks Strong stakeholder engagement and storytelling capabilities; able to translate technical complexity into executive‐level narratives Experience working within agile, cross‐functional product ...

Agile delivery and code review practices. Exposure to ITOM, Discovery, Service Mapping, CSM, Performance Analytics, Service Portal or UI Builder. Integration experience with Salesforce, Azure, Active Directory Key behaviours Takes ownership and resolves issues in a structured, documented way. Balances delivery pace with security, supportability and governance. Collaborates effectively ...

with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation ...

teams Strong communication skills (technical and non-technical) Might haves: Experience with GitLab security tooling and pipeline integrations Familiarity with cloud-native application security (Azure/GCP environments) Exposure to API security controls and testing approaches Basic understanding of AI/LLM application risks, such as prompt injection ...

expertise in software engineering and strong Python skills, focusing on building robust, reusable systemsYou have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) specifically cloud architecture, infrastructure management, and end-to-end cybersecurity practicesYou've extensive experience working with container and orchestration tools such at Docker ...

with LWC, Apex including triggers, asynchronous processing and integrationsExperience with Salesforce DevOps and other CI/CD tools like Jenkins, Bitbucket Pipelines, GitLab CI, Azure DevOps, etc. Hands-on experience with Git-based version control and branching models. Security best practices: awareness of Salesforce security principles and secure ...

hands on experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face* Experience working with cloud-based data and AI platforms, particularly Azure and Databricks* Strong stakeholder engagement and storytelling capabilities; able to translate technical complexity into executive-level narratives* Experience working within agile, cross-functional product ...

modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g. ...

software-defined networkingKnowledge of Kubernetes, VMware Kubernetes Service (VKS) (formerly TKG), and modern application platformsExperience with hybrid cloud environments including VMware Cloud on AWS, Azure VMware Solution, and Google Cloud VMware EngineFamiliarity with Infrastructure as Code (IaC) tools such as Terraform and Ansible, DevOps methodologies, CI/CD pipelines ...

architectural patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

which aren't It's also a bonus if you have: Experience in predictive maintenance or predictive analytics Experience with cloud platforms, ideally Azure, or otherwise AWS or GCP Experience with MongoDB or other NoSQL databases Experience with unsupervised methods such as clustering or hidden Markov models Experience with ...

tools, such as Ansible or Salt is desirableFamiliarity with Python, Prometheus, Grafana, ELK, GitHub is desirableFamiliarity with public cloud networks, such as AWS, GCP, Azure, is desirableThe estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base ...

other CI/CD tools for automated testing and deployment. Understanding of testing microservices-based applications. Familiarity with cloud platforms (e.g., AWS, Azure).Understanding of Accessibility testing. BenefitsWhat We Offer: Competitive SalaryBonus SchemePrivate Healthcare Insurance25 Days Annual Leave + Bank HolidaysUp to 10 days allocated for development training ...