for Cloud-based Services - Familiarity or expertise with AI Security Frameworks e.g. Google Secure AI Framework (SAIF). Experience with engineering Security Solutions for Container Technology and micro services - Kubernetes (GKE, EKS or AKS), ECS or Fargate, Docker, ECR, GCR, etc. Experience with engineering Security Solutions for Development, Security and Operations (DevSecOps). Experience with Cloud Security Posture Management tools More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Sanderson Government and Defence
who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour - strong stakeholder engagement skills, providing true consultancy and leading the user journey If you hold active SC clearance - please do More ❯
problem-solving and communication skills. VMware certifications (e.g., VCP, VCAP) are highly desirable. Nice to Have Skills: Experience with VMware NSX and Horizon. Knowledge of containerization technologies (e.g., Docker, Kubernetes). Scripting skills for automation and orchestration. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able More ❯
Data & AI Services Integration: Azure AI Search (vector indexing, hybrid search) Azure Form Recognizer for document understanding Azure Language Services for summarization, translation, and NER Deploy solutions using: Azure Kubernetes Service (AKS) or Azure Container Apps Azure Key Vault, Monitor, and RBAC Microsoft Entra ID (Azure AD) for identity and access control The successful Microsoft Power Platform/Agentic AI More ❯
of experience in AI solution engineering. Large Language Models experience including prompt engineering and RAG implementations. Expert data analytics, MLOps practices and API development. Desirable knowledge in Docker and KubernetesMore ❯
Senior Kotlin Developer - Front office/Kubernetes - sought by investment bank based in London - Hybrid - Contract *Inside IR35* Key Responsibilities Develop and maintain backend components of a next-gen trading platform. Work with Java and/or Kotlin to deliver robust solutions. Deploy containerised applications using Kubernetes and Docker. Leverage MongoDB and Databricks for data processing and analytics. Integrate with … Ensure code quality through testing, debugging, and optimisation. Essential Skills 3+ years of backend development experience in financial systems. Proficiency in Java and/or Kotlin. Strong knowledge of Kubernetes and Docker. Experience with MongoDB and Databricks. Familiarity with relational databases (e.g., PostgreSQL, MySQL, Oracle). Understanding of Git, CI/CD, and unit testing. Desirable Skills Exposure to cloud More ❯
City Of Westminster, London, United Kingdom Hybrid/Remote Options
Additional Resources
For: Designing and implementing cloud-based data architectures using Azure services. Building robust and scalable data pipelines to support complex, high-volume processing. Deploying and managing containerised workloads through Kubernetes, Helm, and Docker. Automating infrastructure using Infrastructure-as-Code tools such as Terraform and Ansible. Ensuring system reliability through observability, monitoring, and proactive issue resolution. Collaborating with cross-functional teams … Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta More ❯
Westminster, City of Westminster, Greater London, United Kingdom Hybrid/Remote Options
Additional Resources
For: Designing and implementing cloud-based data architectures using Azure services. Building robust and scalable data pipelines to support complex, high-volume processing. Deploying and managing containerised workloads through Kubernetes, Helm, and Docker. Automating infrastructure using Infrastructure-as-Code tools such as Terraform and Ansible. Ensuring system reliability through observability, monitoring, and proactive issue resolution. Collaborating with cross-functional teams … Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta More ❯
Apache Spark Collaborate with frontend/backend developers using Node.js or React Implement best practices in data modelling, ETL processes and performance optimisation Contribute to containerised deployments (Docker/Kubernetes) - experience in this area is desirable, not essential Operate within Agile teams and support DevOps practices What We're Looking For Proven experience as a Data Engineer in complex environments … Strong proficiency in PostgreSQL and either Airflow or Spark Solid understanding of Node.js or React for integration and tooling Familiarity with containerisation technologies (Docker/Kubernetes) is a plus Excellent communication and stakeholder engagement skills Experience working within or supplying to the public sector is highly advantageous Why Join? Contribute to meaningful projects that impact millions of UK citizens Work More ❯