301 to 325 of 3,146 Remote Azure Jobs

functional testing areas including performance, compatibility, accessibility, and security. Desirable, but not essential: Familiarity with cloud platforms, especially AWS. Experience with GitHub Actions, GitLab, Azure DevOps, or Jenkins. Contract testing (especially with Pact). Mobile test automation or cross-browser testing expertise. If you're a seasoned QA leader More ❯

skills. Experience working in Agile environments is a plus. Active security clearance is required for this role. Knowledge of cloud-based database solutions (AWS, Azure, Google Cloud) is an advantage. Preferred Qualifications: Experience with big data technologies (Hadoop, Spark, Snowflake) is a plus. Certification in database technologies or testing More ❯

SQL, Kafka, Kubernetes Excellent analytical and problem-solving skills Understanding of Cloud-native methodologies and distributed systems Expertise in cloud platforms such as AWS, Azure, GCP Experience with Agile development practices Ability to provide technical solutions, discuss approaches, and balance long-term strategy with short-term goals Proficiency in More ❯

similar role (e.g., Software Engineer). Strong experience with SQL, Python, and relational/NoSQL databases (e.g., MongoDB). Familiarity with cloud platforms (preferably Azure). Experience with ETL/ELT frameworks and tools such as dbt. Proficiency in data orchestration tools like Dagster or similar. Understanding of data More ❯

. Desirable Skills & Experience: Experience with front-end frameworks such as Vue.js or React. Knowledge of containerisation technologies (Docker). Experience with cloud platforms (Azure, AWS, GCP). Understanding of DevOps practices and CI/CD pipelines. Familiarity with agile development methodologies. Awareness of compliance requirements (PCI, GDPR). More ❯

the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data More ❯

code using modern languages (Java, Python, JavaScript, etc.) Participate in code reviews and software optimization efforts Contribute to cloud-based deployments (IBM Cloud, AWS, Azure, etc.) Support agile practices such as sprint planning and retrospectives Troubleshoot, debug, and maintain existing software systems Stay updated with emerging trends in software More ❯

such as Python, Java, or JavaScript for test automation. Hands-on experience with CI/CD pipelines and version control tools (e.g., Git, Jenkins, Azure DevOps). In-depth knowledge of testing methodologies, software development life cycles (SDLC), and Agile development practices. Experience with API testing using tools such More ❯

Strong collaboration, problem-solving, and communication skills. Desirable Skills: Experience with AI/ML integration for lead scoring or segmentation. Knowledge of Google Cloud, Azure, Docker, Kubernetes, or encrypted data pipelines. Familiarity with geolocation APIs like Ideal Postcodes. Benefits Include: Competitive salary with performance-based bonuses. Flexible hybrid working More ❯

both written and verbal. Nice to have skills Experience in developing "cloud-native" applications with knowledge of one of the leading cloud providers (AWS, Azure, or GCP More ❯

the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data More ❯

the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data More ❯

in a similar role (2+ years preferred); Strong knowledge of CI/CD tools (Jenkins, GitLab CI, Travis CI); Proficiency in cloud platforms (AWS, Azure, GCP); Experience with containerization tools (Docker, Kubernetes); Familiarity with Infrastructure-as-Code (Terraform, Ansible, CloudFormation); Strong scripting skills (Python, Bash, or similar); Bachelor's More ❯

navigate the digital security realm. Key Responsibilities: Act as the primary technical authority in securing and ensuring compliance across various Public Cloud platforms (AWS, Azure, Google Cloud Platform, and other cloud platforms), collaborating with clients to meet their specific needs. Deliver comprehensive technology solutions via consulting projects-from identifying More ❯

with modern front-end technologies such as React. Experience with containerization technologies (Docker) and orchestration tools (Kubernetes). Knowledge of cloud platforms like AWS, Azure, or similar. Understanding of CI/CD pipelines and DevOps practices for streamlined development and deployment. What can we offer? - ️ 23 days of Annual More ❯

e.g. Cypress, Playwright, Selenium). Knowledge of container and orchestration technologies (e.g. Docker, Kubernetes) Experience working with CI/CD toolchains (e.g. GitHub Actions, Azure DevOps, Jenkins) Experience implementing web responsive designs. Experience working on medium to large-scale software development projects using Agile/Scrum methodologies. Professional qualities More ❯

enduring and impactful for our customers." Technical Expertise You will have 5+ years of experience in Data Engineering, with a focus on cloud platforms (Azure, AWS, GCP). You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog). You have extensive experience in More ❯

this sounds like your calling, we'd love to meet you! KEY RESPONSIBILITIES + Cloud Expertise: Develop and deploy cloud-native applications using AWS, Azure, or Google Cloud platforms. + Service Development: Build scalable and secure services with AWS tools such as API Gateway, Lambda, DynamoDB, S3, EC2, ECS More ❯

and software design. Agile development and tools such as JIRA, Git, Gitlab, and BitBucket, methodologies, and three-week sprints. Developing for the Cloud (AWS, Azure) and closed environments. Ability to write clean, efficient, and maintainable code using best practices and design patterns. Working independently and as a member of More ❯

scaling Generative AI models (GPT, Stable Diffusion, BERT) Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration Databricks expertise, including ML workflows and data pipeline integration Familiarity More ❯

the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based More ❯

the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures. A university degree - numbers based, Computer Science or Geography. Relevant industry sector More ❯

the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures A university degree - numbers based, Computer Science or Geography Relevant industry sector More ❯

to work in a collaborative environment Bonus Skills: Experience with AI/ML libraries (TensorFlow, PyTorch, scikit-learn) Knowledge of cloud platforms (AWS, GCP, Azure) Familiarity with containerisation (Docker) Experience with CI/CD pipelines Understanding of the built environment sector or enterprise software Why BuildPrompt? BuildPrompt is transforming More ❯

TCP and VPN, You Know when to use Infrastructure as Code and DevOps methodologies, You've worked with cloud technologies such as AWS, OpenStack, Azure or Google Cloud What s Next? If you have the skills and passion to be successful in this Staff Software Engineer role, we would More ❯