scale Preferred Qualifications Bonus Points If You Have: Experience working with containerization and orchestration platforms (Kubernetes/Openshift) and cloud providers like AWS, Azure, GCP or others. Experience in key technologies to be leveraged by the team including Java, Python/PySpark, Spark, CI/CD technologies Experience in Machine more »
Manager to automate the provisioning and management of cloud resources. Deploy and configure cloud services and platforms, such as Azure, or GoogleCloudPlatform (GCP), based on best practices and architectural principles. Implement security controls, identity, and access management (IAM), encryption, and compliance standards to ensure the security and integrity … Your Profile: Technical key skills/knowledge/experiences: Cloud Platforms Mastery: Proficiency in one or more cloud platforms Azure, or GoogleCloudPlatform (GCP). In-depth understanding of cloud services, including compute, storage, networking, databases, and security. Ability to architect scalable and resilient cloud solutions using native cloudmore »
tools is an advantage Experience in using container technologies (e.g. Kubernetes, Docker, etc.) is an advantage Experience in using Cloudplatform (e.g. Azure, AWS, GCP, etc.) is an advantage. Experience in Test Driven Development (i.e. TDD) is a plus Experience in Agile/Scrum development methodology is a plus Strong more »
Experience with testing strategies, including visual regression testing, unit testing and integration testing Hands-on experience of infrastructure set up using cloud-based technologies. GCP experience is a bonus. Good understanding of infrastructure as a code concept. Terraform experience is a bonus. Experience of setting up, maintaining and querying different more »
analytical skills. Experience with large-scale data sets and data warehousing. Familiarity with Agile development and project management. Experience with cloud platforms (AWS, Azure, GCP) and machine learning concepts. Understanding of DevOps practices and CI/CD pipelines. Previous work in a Government or Defence-related industry. This job description more »
Sheffield, South Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
Experis
Swarm. Understanding of containerized environments and their integration into CI/CD pipelines Cloud Platforms : Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes Monitoring and Logging : Knowledge of monitoring and logging tools such more »
as Computer Science, Information Systems, or a related Technical Discipline. Technical Expertise: Proficiency in SQL and experience with cloud-based data pipelines (Azure, AWS, GCP). Familiarity with big data tools like Hadoop and Spark. Data Management Skills: Hands-on experience working with large data sets, data pipelines, workflow management more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). AWS Preferred. Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms . Technical expertise across all deployment models on public more »
