1,626 to 1,650 of 7,982 Azure Jobs in the UK

Core Software Engineering such as: JavaScript frameworks (React, NextJS), TypeScript, Python or 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 ...

cleansing, and monitoring processes to ensure accuracy, consistency, and reliability of data assets. Infrastructure & Optimization: Manage and optimize cloud data infrastructure (e.g., GCP, AWS, Azure) and on-premise systems for performance, cost-efficiency, and scalability. Collaboration: Partner closely with Data Analysts, Data Scientists, and business stakeholders to understand data ...

Sword is a leading provider of business technology solutions within the Energy, Public and Finance Sectors, driving real transformational change within our clients. We use proven technology, specialist teams and domain expertise to build solid ...

serverless development and containerisation approaches to deploying software to the cloud Having in-depth knowledge of at least one cloud platform (e.g. GCP, AWS, Azure), including an understanding of appropriate technologies for a given use case. Experience writing enterprise quality solutions, with extensive experience and familiarity with how enterprise ...

Webpack or Babel) and foundational familiarity with backend APIs (such as Node.js). You bring exposure to modern cloud environments (AWS, GCP, or Azure) and enjoy learning how deployment pipelines fit into the wider software ecosystem. You thrive in an entrepreneurial, collaborative environment where you can share ideas, support ...

still have legacy systems running on it) CI/CD and DevOps - Docker, build pipelines, automated testing AWS (or similar cloud platforms - GCP, Azure) Kubernetes ElasticSearch Real-time/WebSocket programming Key Responsibilities Contributing code and technical expertise across the full product suite Owning features end-to-end - from ...

agents and tools into backend systems for automation, orchestration, and decision support. Support CI/CD pipelines, containerised deployments, and cloud infrastructure (AWS/Azure) for services owned by the team. Diagnose and resolve production issues, contributing to monitoring, logging, and observability practices. Document technical designs, APIs, and agent ...

Atlassian Suite . Strong problem-solving skills with the ability to design and implement scalable technical solutions. Desirable Experience working within AWS, Azure, or other cloud-native environments. Knowledge of containerisation and orchestration technologies such as Docker and Kubernetes. Experience supporting highly regulated industries such as Defence, National Security ...

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) specifically cloud architecture, infrastructure management, and end-to-end cybersecurity practices You've extensive experience working with container and orchestration tools such at Docker ...

experience troubleshooting containerized environments (Kubernetes, OpenShift) - including networking, namespace segmentation, and service-level debugging in complex enterprise deployments. Experience with cloud platforms (AWS, Azure, GCP) and enterprise software deployments Excellent communication skills with ability to explain complex technical concepts to various audiences Willingness to travel across EMEA region ...

schemas for data warehouses/data marts to support the relevant ingest and queries You have experience working on cloud-based infrastructure (e.g. AWS, Azure, GCP) You have demonstrable continuous personal development with relevant data certifications and accreditations You have strong interpersonal skills You are security cleared or capable ...

PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) • Experience with containerisation – Docker, Podman and K8s • Familiarity with cloud platforms like AWS, Google Cloud or Azure • Scripting languages – Bash or PowerShell • Most importantly, able to learn “just in time” to adopt cutting edge new technologies and paradigms Why Join ...

strong and supportive relationship with customers. Who you are Developing and maintaining infrastructure-as-code (e.g. Terraform, Ansible) Cloud platform knowledge (GCP, AWS, Azure) Active & compelling engagement of people and stakeholders, across a broad range of internal and external stakeholders Delivering platform operations in a complex & dynamic technology environment. ...

values. Experience in leading projects to deliver high quality, scalable, performant and secure code. Experience in CI/CD and DevOps using GitHub, Jenkins, Azure DevOps or similar tools. Experience with collaboration tools such as Jira and Confluence. Experience with Agile practices. Experience in multiple development languages (SAS, Python ...

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 ...

where you can’t see the impact your expertise makes. Experience High proficiency in cloud DevOps/platform engineering and large‐scale live services. Azure, AWS or GCP. Hands‐on experience developing infrastructure‐as‐code with tools such as Terraform, OpenTofu, Terragrunt, Pulumi following GitOps practices. Excellent experience coding ...

Microsoft. Drive excellence in Security, SRE, and Quality Engineering. About You Have experience building Typescript/Node.js backend applications Have experience working on Azure Integration technologies incl. API Management, Logic Apps, and Service Bus Have experience building Serverless and Event Driven architectures on AWS Proficiency in using Infrastructure ...

model lifecycle management, deployment automation, experiment tracking, monitoring, governance, and machine learning pipelines. Proven experience working with cloud platforms and modern engineering practices, including Azure, Databricks, CI/CD pipelines, version control, and DevOps methodologies. The ability to design, build, deploy, and support scalable, secure, reliable, and production‐grade ...

/CD, automated testing, observability, infrastructure as code, performance optimisation and secure, resilient software design. Cloud native engineering experience across platforms such as AWS, Azure or Google Cloud, with sufficient technical depth to review designs, interrogate code, troubleshoot production issues and contribute directly to engineering solutions when required. Proven ...

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 ...

/CD, automated testing, observability, infrastructure as code, performance optimisation and secure, resilient software design. Cloud native engineering experience across platforms such as AWS, Azure or Google Cloud, with sufficient technical depth to review designs, interrogate code, troubleshoot production issues and contribute directly to engineering solutions when required. Proven ...

model lifecycle management, deployment automation, experiment tracking, monitoring, governance, and machine learning pipelines. Proven experience working with cloud platforms and modern engineering practices, including Azure, Databricks, CI/CD pipelines, version control, and DevOps methodologies. The ability to design, build, deploy, and support scalable, secure, reliable, and production-grade ...

model lifecycle management, deployment automation, experiment tracking, monitoring, governance, and machine learning pipelines. Proven experience working with cloud platforms and modern engineering practices, including Azure, Databricks, CI/CD pipelines, version control, and DevOps methodologies. The ability to design, build, deploy, and support scalable, secure, reliable, and production-grade ...

custom scripts when needed. Experience in automating pentesting tasks. Strong understanding of application security, network protocols, and operating systems. Experience with cloud platforms (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes). Ability to write clear, technical reports and communicate findings to both technical and non‐technical stakeholders. Experience ...

pay. Experience with MCP, graph or semantic retrieval, data engineering, event-driven integration or workflow orchestration. Experience deploying software or data products on Azure, AWS or GCP, DataBricks, Snowflake, Palantir etc. using relevant cloud services and at least one of containers, Kubernetes or serverless patterns. Delivery experience ...