1 to 25 of 414 Contract Python Jobs

Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (PowerShell, Bash, Python, Ansible, Terraform) Cyber security controls and accreditation processes Systems engineering lifecycle from design to deployment Desirable Skills Experience with cloud platforms (AWS, Azure) and Infrastructure

Terraform and Ansible CI/CD pipeline development with GitLab CI, Jenkins, or GitHub Actions Containerisation and orchestration using Docker and Kubernetes Scripting in Python, Bash, or PowerShell Monitoring and logging with Prometheus, Grafana, and ELK Stack Secure DevOps practices aligned with UK Government and MoD standards Experience working

Terraform and Ansible CI/CD pipeline development with GitLab CI, Jenkins, or GitHub Actions Containerisation and orchestration using Docker and Kubernetes Scripting in Python, Bash, or PowerShell Monitoring and logging with Prometheus, Grafana, and ELK Stack Secure DevOps practices aligned with UK Government and MoD standards Experience working

network security protocols . Experience deploying and maintaining systems on AWS (EC2, RDS, S3, Lambda). Desirable Skills Programming experience in Java, Go, or Python . Understanding of cross-domain technologies and security models. Background in service management environments and ITIL practices. Proven application of observability patterns and system health

Infrastructure as Code tools (Terraform, Ansible, etc.). 2. hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD

Terraform, Ansible, etc.). 2. Minimum 3 + year hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD

Lambda) Comfortable with MQ messaging (RabbitMQ or similar) Bonus points for: Experience with Azure environments Strong coding ability in Python, Java, or Go Knowledge of cross-domain systems or service management frameworks Proven application of observability and uptime metrics to reduce downtime The Offer: Contract position outside IR35

frameworks. Knowledge of cloud platforms such as AWS, Azure, or GCP, with hands-on experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema design

Terraform, Ansible, etc.). 2. Minimum 3 + year hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD

Essential Skills Strong experience with Kubernetes, Docker, and container orchestration. Hands-on with CI/CD tools (GitLab CI, GitHub Actions). Proficient in Python, JavaScript, Golang. Experience with monitoring tools (Grafana, ELK). Agile delivery and JIRA proficiency. Excellent communication and documentation skills. Desirable Skills SIEM experience, particularly with

experience with PySpark, Spark SQL, Spark Streaming, DataFrames Microsoft Fabric (Fabric Spark jobs, dataflows, pipelines, semantic models) Azure: ADLS, cloud data engineering, notebooks Python programming; Java exposure beneficial Delta Lake/Delta table optimisation experience Git/GitLab, CI/CD pipelines, DevOps practices Strong troubleshooting and problem-solving ability

services, Azure Machine Learning (ML), and AI Foundry. Hands-on experience with Azure Cognitive Services, Azure OpenAI, and Azure Data Factory. Solid programming skills (Python/C#,/.NET) Experience with Azure DevOps, CI/CD pipelines, and GitHub Actions. Knowledge of containerization (tools ie Docker) and orchestration (ie Kubernetes

Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques

technology and orchestration platforms e.g. Kubernetes, Docker - Mandatory Hands-on experience in installing, configuring, operating, and monitoring CI/CD pipeline tools Experience in Python, JavaScript, Golang. Experience on Gitlab CI or GitHub Actions Experience in monitoring tools such as Grafana, ELK Experience in Agile software development systems and JIRA

Inside IR35 - Umbrella only Active SC security cleared or eligible candidates will be considered Experience: Experienced in TDD and working with complex data challenges. Python as the preferred back-end language for new services, however we also need to support languages including Java and .NET. Oracle SQL PL to support

troubleshoot issues Skills Needed AWS (Azure/GCP a plus) Git, GitLab CI/CD, Terraform, Ansible Docker, Kubernetes Security tools (SonarQube, vulnerability management) Python and Linux scripting Monitoring tools (Prometheus, Grafana) Defence experience is a bonus. Must be proactive and collaborative. Reasonable Adjustments: Respect and equality are core values

Skills & Experience: Strong experience in automation engineering for infrastructure and container platforms. Hands-on experience with OpenShift and Kubernetes environments. Proficiency in scripting languages (Python, Bash) and configuration management tools (Ansible, Puppet). Familiarity with Infrastructure-as-Code tools (Terraform, CloudFormation). Knowledge of CI/CD pipelines and DevOps

Infrastructure as Code frameworks. Strong Linux, networking, and cloud architecture expertise. Hands-on experience supporting applications in PHP and JavaScript environments. Strong scripting skills (Python, Bash, etc.). Comfort working in high-security, high-accountability settings. Ability to automate repetitive tasks out of pure principle. Desirable Skills & Qualifications The following

Skills & Experience: Strong experience in automation engineering for infrastructure and container platforms. Hands-on experience with OpenShift and Kubernetes environments. Proficiency in scripting languages (Python, Bash) and configuration management tools (Ansible, Puppet). Familiarity with Infrastructure-as-Code tools (Terraform, CloudFormation). Knowledge of CI/CD pipelines and DevOps

Actions, or GitLab CI. - Knowledge of monitoring and logging tools, including CloudWatch, ELK stack, and Prometheus/Grafana. - Strong coding skills in languages like Python, Java, Node.js, or Go. - Ability to design scalable, secure, and resilient cloud-native applications. Additional Experience Required: - Ability to act on own authority to manage

Expertise Hands-on experience with ServiceNow CMDB and ITSM modules. Strong knowledge of automation tools (Ansible, Terraform, Puppet, Chef). Proficiency in scripting languages (Python, PowerShell, Shell). Familiarity with CI/CD tools (Jenkins, GitLab, Azure DevOps). Experience with cloud platforms (AWS, Azure, GCP). Process Knowledge Solid

expertise in dimensional modelling (e.g., star/snowflake schemas). Familiarity with Power BI dataflows, DAX, and RLS setup. Hands-on experience with Python, PySpark, or T-SQL for data processing and automation. Understanding of CI/CD practices in data projects using Git and YAML pipelines. Solid knowledge

reviews and continuous improvement initiatives Essential Skills for the AWS Data Engineer: Extensive hands-on experience with AWS data services Strong programming skills in Python (including libraries such as PySpark or Pandas) Solid understanding of data modelling, warehousing and architecture design within cloud environments Experience building and managing ETL/

planning, resilience testing, and telemetry-based insights. Experience supporting cloud-native platforms and modern application architectures. Proficiency in programming and scripting languages such as Python or Go. Experience building and managing enterprise-grade observability solutions. Strong understanding of secrets management, RBAC, audit logging, compliance, and secure infrastructure practices. Reasonable Adjustments

Engineering and Testing - create cloud security policy, engineer it, test it and deploy it. Experience Workload Coding Languages & Frameworks - JAVA REST services with Spring, Python, .NET, etc. Threat Modelling Skills with tools such as IriusRisk or similar; experienced at identifying security flaws in cloud solutions via architectural assessment and threat