26 to 50 of 58 Kubernetes Jobs in the Thames Valley

Terraform provider capabilities and limitations Experience integrating Terraform into CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Understanding of ARM templates and resource management Containerisation and orchestration (Docker, Kubernetes) Knowledge of core services (Virtual Networks, VMs, Storage, App Services, etc.) Experience with Azure AD, RBAC, Key Vault, and security best practices Proficiency with Git workflows (branching, merging, pull requests More ❯

part of a team. Desired Skills: · Professional certifications such as CompTIA Network+, CompTIA Security+, MCSE, CCNA. · Experience with scripting languages (PowerShell, Python, Bash). · Knowledge of containerization technologies (Docker, Kubernetes). · Experience with database administration (SQL, MySQL). · Familiarity with ITIL practices and principles. · Experience with system tools (Wazuh, Zabbix, etc). · Understanding of disaster recovery and business continuity planning More ❯

and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and iterative product development. Knowledge of graph databases and graph analysis. Benefits Our client offers an exciting and supportive More ❯

Terraform provider capabilities and limitations Experience integrating Terraform into CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Understanding of ARM templates and resource management Containerisation and orchestration (Docker, Kubernetes) Knowledge of core services (Virtual Networks, VMs, Storage, App Services, etc.) Experience with Azure AD, RBAC, Key Vault, and security best practices Proficiency with Git workflows (branching, merging, pull requests More ❯

environments , including awareness of risks such as adversarial attacks, model poisoning, and data privacy issues. Deep knowledge of: Identity & Access Management (IAM) Network and Application Security Data Protection & Encryption Kubernetes, Containers, and DevSecOps/MLOps practices SIEM, logging, and monitoring Zero Trust architectures Skilled in applying frameworks such as NIST CSF, ISO 27001, PCI DSS, CSA CCM, NIST AI RMF More ❯

re eager to learn, we'll support you on the job, and front-end skills won't be assessed during the interview process. Our web stack includes Java, GraphQL, Kubernetes, SQL and NoSQL databases, all running on AWS. While experience with every tool isn't required, strong proficiency in an object-oriented programming language is essential. Perks of Working at More ❯

engineers release code to production every few days and we have a daily release cycle. This is a Fullstack role. Viator's web stack includes Java, React, TypeScript, GraphQL,Kubernetes, SQL and NoSQL databases, and runs on AWS. You don't need to have experience with everything listed but you do need to be hungry to learn. Perks of Working More ❯

back again. Most of our engineers release code to production every few days and we have a daily release cycle. Viator's web stack includes Java, React, TypeScript, GraphQL,Kubernetes, SQL and NoSQL databases, and runs on AWS. You don't need to have experience with everything listed but you do need to be hungry to learn. You will need More ❯

and well designed cloud solutions. They need someone with great experience across AWS/Containers, and also someone with clear experience working with data or compute services. Stack: AWS, Kubernetes, ECS, Docker, Python The firm can offer market leading salaries coupled with an excellent culture (4.4 Glassdoor) and a hybrid model. If this sounds of interest, please do apply More ❯

Practical experience of test-driven development and constant refactoring in continuous integration environment. • Experience with HTML, CSS, Web Service (REST), Junit (or Selenium). • Working knowledge of OpenShift/Kubernetes, Docker & sHelm preferable. • Practical experience with build tools, source code control (preferably Git), and continuous integration. More ❯

with PowerShell, Azure CLI, or Bash for automation tasks Understanding of CI/CD pipeline concepts and tools (Azure DevOps, GitHub Actions, etc. Containerisation experience with Docker and basic Kubernetes concepts Understanding of cloud networking concepts (VNets, subnets, NSGs) Awareness of cloud security best practices and compliance requirements Basic knowledge of monitoring, logging, and observability tools Understanding of cloud cost More ❯

Strong understanding of software development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as Microsoft products, Jira More ❯

Strong understanding of software development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as Microsoft products, Jira More ❯

costs. Key Responsibilities: Build Azure resources using ARM templates, Terraform, or Bicep . Create and manage pipelines using Azure DevOps (ADO) . Hands-on experience with Docker and Azure Kubernetes Services (AKS) . Configure and maintain Azure services such as Storage Accounts, Container Registry, Key Vault, Monitor, and Log Analytics . Manage infrastructure operations, administration, and engineering tasks . Oversee More ❯

coding practices. Hands-on experience with ML/LLM frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Expertise in DevOps/CI/CD security and cloud-native architectures (containers, Kubernetes, Git). Strong knowledge of AI/ML-specific security vulnerabilities (adversarial attacks, data poisoning, prompt injection, MITRE ATLAS). Familiarity with global regulatory frameworks relevant to AI security. Excellent More ❯

Strong experience with: Retrieval-Augmented Generation (e.g., LangChain, LlamaIndex, vector databases). LLM fine-tuning techniques (LoRA, PEFT, instruction tuning). Deploying models in production (Triton Inference Server, HuggingFace, Kubernetes). Advanced Python skills; bonus for experience in Go, Java, or C++. Direct experience working with enterprise clients. Solid understanding of embeddings, vector stores, and semantic search. Preferred Qualifications Familiarity More ❯

week onsite in London and initial 3 month rolling contracts with an immediate start. The rate available for this position is: £550-575pd Requirements : Extensive Golang experience Kafka Kubernetes HTTP SQL database experience too Bonus : Any Python experience Payments or financial services experience Please apply directly or email me your CV on Charlie.Durman@lafosse.com More ❯

per week. To be a successful, the ideal Lead DevOps Engineer candidate will have: · A deep knowledge of Azure. · Very strong Terraform · Experience of .NET and C# · Docker and Kubernetes What is in it for you? As a talented Lead DevOps Engineer you can expect: · Great salary – Up to £85,000 base and Package (neg for the right person) If More ❯

Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g. More ❯

depth, hands-on experience building platforms at scale for containerized workloads. Developing and maintaining continuous integration and continuous deployment pipelines to allow for safe and quick code deployment. Utilising Kubernetes, including cluster provisioning, operations, workload optimization, custom controllers/operators, workflow orchestration, logging monitoring, security, and troubleshooting. Automating infrastructure provisioning, configuration, and deployment processes using tools such as Terraform The … looking for Implements security practices as directed and integrates security tools into the CI/CD pipeline. Solves routine problems with existing systems and tools. Implement best practices for Kubernetes setup, configuration, and architecture. Experienced in DevOps tools such as Jenkins, Gitlab, Nexus or equivalent CI/CD tools. Experienced in using Cloud Logging and Cloud Monitoring. Experienced in cluster More ❯

error budgets. Collaborate with release and support teams to ensure smooth, reliable rollouts. Maintain and improve documentation for operational runbooks and platform processes. Required Skills & Experience Solid experience managing Kubernetes clusters (AWS EKS) in production. Proficient with AWS services relevant to production workloads (EKS, EC2, RDS/Aurora, S3, IAM). Infrastructure as Code with Terraform and configuration management with … budgets, capacity planning). Comfortable working in incident and problem management processes. Strong GitOps mindset for managing platform and configuration changes. Good communication and documentation skills. Qualifications (Desirable) Certified Kubernetes Administrator (CKA) and/or Certified Kubernetes Security Specialist (CKS). AWS Certified Solutions Architect – Associate and/or AWS Certified DevOps Engineer – Professional. Nice-to-Have Experience with Python More ❯

Lead DevOps Engineers to support both new and existing secure transformation projects. You’ll play a key role in architecting and maintaining scalable, security-first cloud infrastructure using AWS, Kubernetes, and real-time data streaming pipelines. This is a hands-on role for engineers who thrive in high-assurance environments and enjoy driving automation and DevSecOps best practices. What’s … CD, and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals and secure stream processing Experience with monitoring tools (Prometheus, Grafana, CloudWatch More ❯

Code (IaC) adoption using Terraform and CloudFormation Build, optimise, and automate CI/CD pipelines with Jenkins, GitHub Actions, and related tools Deploy and manage containerised solutions with Docker, Kubernetes, and Helm Implement strong security and access controls using IAM, Vault, and Secrets Manager Enhance platform observability using Prometheus, Grafana, and ELK Stack Collaborate with cross-functional teams to deliver … robust, high-availability solutions Key Skills & Experience Extensive hands-on experience with AWS (Azure knowledge beneficial) Expertise in Terraform, CloudFormation, and automation tooling Strong containerisation skills with Kubernetes, Docker, and related platforms Proven background in cloud security, IAM, and governance Solid understanding of monitoring and observability stacks Ability to influence architecture decisions and align solutions to best practices Desired Certifications … AWS Certified Solutions Architect – Associate/Professional AWS Certified Security – Specialty HashiCorp Certified: Terraform Associate Kubernetes Certified Application Developer (CKAD) Clearance Requirement This role requires active eDV clearance . Applicants without this clearance will not be considered. Would you like me to make this advert more formal and government-style (to focus on the clearance and security aspect) or more More ❯

a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale distributed systems using Kubernetes, Terraform, and orchestration tools such as Airflow, Flyte, or Temporal Write clean, extensible, and well-tested code to ensure long-term maintainability and collaboration across teams About You We are … as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable More ❯

The Ellison Institute of Technology (EIT) tackles humanity's greatest challenges by turning science and technology into impactful global solutions. Focused on areas like health, food security, sustainable agriculture, climate change, clean energy, and robotics in an era of artificial More ❯