251 to 275 of 3,715 Permanent Containerisation Jobs

or certification on software engineering concepts and proven applied experience Hands-on experience with one or more cloud computing platform providers AWS/Azure/GCP Advanced knowledge of Containerization and Container Runtime/Orchestration platforms (Docker/Kubernetes/ECS etc) Hands-on experience with Cloud Infrastructure Provisioning Tools like Terraform, Pulumi, Crossplane & Cloud Formation etc Proficiency with programming More ❯

collaborate with technical and non-technical stakeholders. Preferred Qualifications Advanced certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Azure Administrator, Google Cloud Professional Engineer). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with CI/CD pipelines and DevOps practices. Knowledge of scripting languages (e.g., Python, Bash) for automation and workflow optimization. Experience working More ❯

in using distributed frameworks ( Spark, Flink, Beam, Hadoop ). Proficiency in infrastructure as code (IaC) using Terraform . Experience with CI/CD pipelines and related tools/frameworks. Containerisation: Good knowledge of containers ( Docker, Kubernetes etc). Cloud: Experience with GCP, AWS, or Azure . Good understanding of cloud storage, networking, and resource provisioning. It would be great if More ❯

build and deployment cycle CI/CD and Infrastructure-as-Code technologies, e.g. Terraform and Ansible Test Driven Development with appropriate tools and frameworks Experience of cloud orchestration and containerisation technologies, such as Kubernetes and Docker Knowledge of large-scale databases and distributed technologies, such as RDS Knowledge of distributed event streaming technologies, such as Kafka Write/maintain automation More ❯

/Linux systems (e.g., Red Hat Enterprise Linux, Oracle Linux, IBM AIX) In-depth knowledge of hybrid cloud architectures and technologies (e.g., AWS, Azure, Google Cloud Platform) Experience with containerization technologies (e.g., Docker, Kubernetes) and microservices architectures Proficiency in scripting languages (e.g., Bash, Python, Perl) and automation tools (e.g., Ansible, Puppet, Chef) Solid understanding of network protocols, storage systems, and More ❯

Engineering, or equivalent experience. Proven experience in platform engineering, DevOps, or infrastructure-focused roles. Strong proficiency with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures. Experience with containerisation technologies such as Docker and Kubernetes. Knowledge of Infrastructure as Code (Terraform, CloudFormation, CDK, etc.). Familiarity with CI/CD tools (GitHub Actions, GitLab CI, or similar). Experience More ❯

Engineering, or equivalent experience. Proven experience in platform engineering, DevOps, or infrastructure-focused roles. Strong proficiency with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures. Experience with containerisation technologies such as Docker and Kubernetes. Knowledge of Infrastructure as Code (Terraform, CloudFormation, CDK, etc.). Familiarity with CI/CD tools (GitHub Actions, GitLab CI, or similar). Experience More ❯

cloud services (e.g., EC2, S3, RDS, Lambda, Azure VMs, Azure Storage, Azure Functions). Experience with Infrastructure as Code (IAC) technologies (e.g., Terraform, ARM/BICEP). Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes/EKS). Proficiency in scripting languages (e.g., Python, Bash, TypeScript, PowerShell). Knowledge of networking concepts and security best practices. Familiarity with SRE More ❯

/Linux systems (e.g., Red Hat Enterprise Linux, Oracle Linux, IBM AIX) In-depth knowledge of hybrid cloud architectures and technologies (e.g., AWS, Azure, Google Cloud Platform) Experience with containerization technologies (e.g., Docker, Kubernetes) and microservices architectures Proficiency in scripting languages (e.g., Bash, Python, Perl) and automation tools (e.g., Ansible, Puppet, Chef) Solid understanding of network protocols, storage systems, and More ❯

VirtualBox Enterprise use of Git and/mercurial or Bitbucket Monitoring tools such as Prometheus, Sensu and Grafana Experience with cloud platforms (AWS, Azure, or GCP). Experience with containerization (Docker) and orchestration (Kubernetes). Knowledge of Infrastructure as Code tools (Terraform, Ansible, or similar). Unit and Automation tests - SpecFLow, TestComplete, Gerkin. Automated builds systems - Visual Studio, Linux Installer More ❯

persistence. Experience of GraphQL and subscription-based streaming. Knowledge and use of Cloud Technologies and concepts preferably on AWS or Azure/GCP etc. Use of and working with Containerisation to aid deployability, testing and loose coupling. Actor frameworks like DAPR, AKKA, Orleans. Strong analytical ability and problem-solving skills. Job Band & Level Function Head/Band 8 #LI-Hybrid More ❯

experience working with GenAI applications in production environment Strong communication skills since we work with a global team Experience with cloud platforms ( Azure, AWS) Knowledge of microservices architecture and containerization technologies (, Docker, Kubernetes) Experience with RESTful APIs and API design principles Understanding of database management systems (, NoSQL, PostgreSQL) Proficiency with Git for version control Version Control Systems (GitHub, managing code More ❯

with DevOps practices and tools. Strong knowledge of load balancing, CDN options, and cloud vendors (e.g., Azure). Experience with database administration (MYSQL, MSSQL, PostgreSQL, etc.). Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes). Strong troubleshooting and problem-solving skills. Experience with ITIL processes and service management. Excellent communication and reporting skills. As an equal opportunities’ employer More ❯

development using Node.js Experience working with geolocation/geospatial data Experience with graph visualization libraries to represent complex data structures visually Experience with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker) Line management experience About I2 Our intelligence analysis software tools help analysts and investigators transform data in real-time, enabling customers to detect, disrupt, and defeat sophisticated threats. More ❯

with DevOps practices and tools. Strong knowledge of load balancing, CDN options, and cloud vendors (e.g., Azure). Experience with database administration (MYSQL, MSSQL, PostgreSQL, etc.). Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes). Strong troubleshooting and problem-solving skills. Experience with ITIL processes and service management. Excellent communication and reporting skills. As an equal opportunities’ employer More ❯

in Infrastructure as Code (IaC) tools such as Terraform, ARM templates, or Bicep. Experience with CI/CD tools such as Azure DevOps, Jenkins, or GitHub Actions. Knowledge of containerization technologies (Docker, Kubernetes) and orchestration. Familiarity with scripting languages (PowerShell, Python, Bash) for automation tasks. Understanding of cloud security best practices and compliance frameworks, particularly in classified settings. Experience working More ❯

working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and More ❯

working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and More ❯

GitLab, liquibase Experience in using SQL/NoSQL data stores – RDS, DynamoDB, ElastiCache, Solr Jira and Agile methodologies Desired Skills & Knowledge Experience with OpenTelemetry Experience of managingKubernetes cluster and containerisation AWS and IaC – Terraform, CloudFormation, VPC, IAM, EC2, EKS, Lambda, RDS, S3, CloudWatch, puppet, docker Experience building and running monitoring infrastructure at a large scale. For example, Elasticsearch clusters, Prometheus More ❯

ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible Security Clearance Due to the nature of our work, successful candidates for this role will More ❯

CI/CD pipelines and Infrastructure as Code (IaC) using tools like Terraform or Cloud Deployment Manager. Solid understanding of networking principles and their application within GCP. Experience with containerization technologies (Docker, Kubernetes/GKE). Familiarity with data management and analytics services on GCP (e.g., BigQuery, Cloud Dataflow, Cloud Storage). Strong understanding of identity and access management (IAM More ❯

Role End-to-End Solution Delivery: Expertise in taking ownership of a requirement from start to finish, including gathering detailed requirements, designing, and implementing robust, innovative solutions. Experience with containerization technology and orchestration platforms e.g. Docker, Kubernetes Hands-on experience in installing, configuring, operating, and monitoring CI/CD pipeline tools Vast working experience on Gitlab CI or GitHub Actions More ❯

do this we combine our extensive cloud automation knowledge with DevOps culture. We ensure we document our architecture and infrastructure as code, using technologies such as Terraform and OpenAPI. Containerisation is a big part of empowering our teams to develop, deploy and scale their applications, but so too is using AWS Lambda and avoiding the complexity of stateful services altogether. More ❯

and deployment lifecycles. Experience applying modern AI tools to enhance observability, operational workflows, or support processes—paired with a solid understanding of their capabilities and limitations. Deep understanding of containerization, orchestration, and virtualization technologies, including Kubernetes, Docker, and related tools. Proficiency with CI/CD tools and workflows (preferably GitLab CI or Azure DevOps), and familiarity with release orchestration and More ❯

continuous improvement and learning. Proof of concept (POC) and onboarding activities for new tools and technologies. Key Tools and Technologies DevOps Tools: GitLab, Jenkins, Ansible, Terraform, Cloud Technologies: AWS Containerization and Orchestration: Docker, Kubernetes, EKS, AKS Monitoring and Logging: DataDog Scripting : Python, Bash, Shell Personal Attributes Proactive and dedicated with a passion for continuous improvement. Diligent with a focus on More ❯