1,876 to 1,900 of 2,214 Kubernetes Jobs

experience via remote dev environments, self-hosted CI/CD pipelines, and observability tools. What They're Looking For: Hands-on experience with a major cloud provider (preferably GCP), Kubernetes, and Infrastructure as Code (Terraform). Strong Python skills for automation and operational problem-solving. Customer-focused approach to building stable, well-documented platforms. Pragmatic focus on efficiency, velocity, and … communication skills. Familiarity with CI/CD and data/observability platforms is a plus. Minimum 2:1 STEM degree or equivalent professional experience. Tech Stack: Cloud: GCP Orchestration: Kubernetes IaC: Terraform/Terramate Dev Environments: Remote development tools CI/CD: Self-hosted pipelines, Argo Workflows Data Platforms: Airflow, BigQuery, PostgreSQL Observability: Grafana, Prometheus Deployments: Helm For more information More ❯

experience via remote dev environments, self-hosted CI/CD pipelines, and observability tools. What They're Looking For: Hands-on experience with a major cloud provider (preferably GCP), Kubernetes, and Infrastructure as Code (Terraform). Strong Python skills for automation and operational problem-solving. Customer-focused approach to building stable, well-documented platforms. Pragmatic focus on efficiency, velocity, and … communication skills. Familiarity with CI/CD and data/observability platforms is a plus. Minimum 2:1 STEM degree or equivalent professional experience. Tech Stack: Cloud: GCP Orchestration: Kubernetes IaC: Terraform/Terramate Dev Environments: Remote development tools CI/CD: Self-hosted pipelines, Argo Workflows Data Platforms: Airflow, BigQuery, PostgreSQL Observability: Grafana, Prometheus Deployments: Helm For more information More ❯

service platforms. Hands-on experience with automation tools (Terraform, Bash, Python, Go, Ruby, Groovy, or Powershell). Knowledge of CI/CD pipelines and Continuous Delivery practices. Experience with Kubernetes and container orchestration. Proven track record of technical leadership in delivery projects, with experience coaching and mentoring. Excellent communication skills, able to explain complex concepts to technical and non-technical … audiences. Eligible for SC Clearance . Desirable: Public cloud certifications (AWS/Azure). Specialisation certifications (e.g. Kubernetes CKAD). Experience with cloud-native tooling and approaches . Active participation in technical communities of practice. This role offers the chance to combine hands-on cloud engineering with architectural leadership, working on impactful projects that shape the future of digital services. More ❯

ll be doing Building and scaling the firm’s GCP infrastructure — networking, IAM, security, and “everything as code” using Terraform/Terramate Developing a self-healing architecture with GKE (Kubernetes) at its core Supporting key platforms: Airflow, BigQuery, PostgreSQL clusters Enhancing developer experience through GitLab CI/CD, Coder remote environments, and a modern observability stack (Prometheus, Grafana, Mimir) Driving … years’ experience in a Cloud, Platform, or DevOps role Solid hands-on experience with GCP (or another major cloud provider) Strong skills in Python scripting, Terraform, and Kubernetes (GKE) A drive to automate and optimise — with a pragmatic, problem-solving mindset Great communication skills and a collaborative, customer-focused approach Familiarity with CI/CD (GitLab), and an interest in More ❯

ll be doing Building and scaling the firm’s GCP infrastructure — networking, IAM, security, and “everything as code” using Terraform/Terramate Developing a self-healing architecture with GKE (Kubernetes) at its core Supporting key platforms: Airflow, BigQuery, PostgreSQL clusters Enhancing developer experience through GitLab CI/CD, Coder remote environments, and a modern observability stack (Prometheus, Grafana, Mimir) Driving … years’ experience in a Cloud, Platform, or DevOps role Solid hands-on experience with GCP (or another major cloud provider) Strong skills in Python scripting, Terraform, and Kubernetes (GKE) A drive to automate and optimise — with a pragmatic, problem-solving mindset Great communication skills and a collaborative, customer-focused approach Familiarity with CI/CD (GitLab), and an interest in More ❯

distributed systems Expertise in profiling tools, memory management, and debugging complex performance issues Strong database optimisation skills (Postgres, SQL Server, or similar) Experience with containerised and cloud-native environments ( Kubernetes, Docker, AWS, Azure ) Familiarity with load testing tools (e.g. k6, JMeter, Gatling) and monitoring solutions Excellent communication skills to work with both technical and non-technical stakeholders What’s on … system architecture and mentor future engineering leaders Flexible Hybrid working in Central London up to £85,000 basic plus market leading bonus structures Tech Stack: Python, Java, C#, Postgres, Kubernetes, Docker, AWS, Azure, k6, JMeter, Gatling If you’re passionate about pushing the boundaries of performance engineering and building software that scales effortlessly, we’d love to hear from you. More ❯

distributed systems Expertise in profiling tools, memory management, and debugging complex performance issues Strong database optimisation skills (Postgres, SQL Server, or similar) Experience with containerised and cloud-native environments ( Kubernetes, Docker, AWS, Azure ) Familiarity with load testing tools (e.g. k6, JMeter, Gatling) and monitoring solutions Excellent communication skills to work with both technical and non-technical stakeholders What’s on … system architecture and mentor future engineering leaders Flexible Hybrid working in Central London up to £85,000 basic plus market leading bonus structures Tech Stack: Python, Java, C#, Postgres, Kubernetes, Docker, AWS, Azure, k6, JMeter, Gatling If you’re passionate about pushing the boundaries of performance engineering and building software that scales effortlessly, we’d love to hear from you. More ❯

distributed systems Expertise in profiling tools, memory management, and debugging complex performance issues Strong database optimisation skills (Postgres, SQL Server, or similar) Experience with containerised and cloud-native environments ( Kubernetes, Docker, AWS, Azure ) Familiarity with load testing tools (e.g. k6, JMeter, Gatling) and monitoring solutions Excellent communication skills to work with both technical and non-technical stakeholders What’s on … system architecture and mentor future engineering leaders Flexible Hybrid working in Central London up to £85,000 basic plus market leading bonus structures Tech Stack: Python, Java, C#, Postgres, Kubernetes, Docker, AWS, Azure, k6, JMeter, Gatling If you’re passionate about pushing the boundaries of performance engineering and building software that scales effortlessly, we’d love to hear from you. More ❯

distributed systems Expertise in profiling tools, memory management, and debugging complex performance issues Strong database optimisation skills (Postgres, SQL Server, or similar) Experience with containerised and cloud-native environments ( Kubernetes, Docker, AWS, Azure ) Familiarity with load testing tools (e.g. k6, JMeter, Gatling) and monitoring solutions Excellent communication skills to work with both technical and non-technical stakeholders What’s on … system architecture and mentor future engineering leaders Flexible Hybrid working in Central London up to £85,000 basic plus market leading bonus structures Tech Stack: Python, Java, C#, Postgres, Kubernetes, Docker, AWS, Azure, k6, JMeter, Gatling If you’re passionate about pushing the boundaries of performance engineering and building software that scales effortlessly, we’d love to hear from you. More ❯

and manage reusable infrastructure stacks using Infrastructure as Code (IaC) Design and implement scalable, secure environments across AWS and on-prem VMWare Develop automated deployment and operations processes using Kubernetes and Docker Collaborate with Security, Engineering, and Architecture teams to define best practices Drive continuous improvement with GitOps and modern delivery methods Troubleshoot and support infrastructure, pipelines, and application tooling … rather than infrastructure management. And technically, it's preferred if you can offer: Proven experience in Platform or OS engineering (Linux & Windows preferred) Strong skills in Terraform, Ansible, Docker, Kubernetes Deep understanding of AWS (EC2, S3, IAM, VPC) and ideally VMWare (vSphere, NSX, VCF) A passion for automation, innovation, and staying ahead of the curve Apply now Interviews are taking More ❯

Partner with Data Scientists to industrialise prototypes into production-ready applications Lead on observability, CI/CD automation, and monitoring for ML workflows Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform Contribute to shared ML tooling and experimentation platforms Ensure best practices in model testing, rollback, and deployment hygiene Work across technical and compliance teams to ensure governance and … Mathematics, etc.) Strong Python coding skills for production systems Proven experience deploying models in real-world environments (API, batch, streaming) Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience working in cloud environments (AWS preferred; Terraform a bonus) Strong communication skills and interest in the latest ML/AI developments Comfortable in collaborative, cross-functional teams with fast More ❯

Partner with Data Scientists to industrialise prototypes into production-ready applications Lead on observability, CI/CD automation, and monitoring for ML workflows Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform Contribute to shared ML tooling and experimentation platforms Ensure best practices in model testing, rollback, and deployment hygiene Work across technical and compliance teams to ensure governance and … Mathematics, etc.) Strong Python coding skills for production systems Proven experience deploying models in real-world environments (API, batch, streaming) Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience working in cloud environments (AWS preferred; Terraform a bonus) Strong communication skills and interest in the latest ML/AI developments Comfortable in collaborative, cross-functional teams with fast More ❯

Design technical specifications for Layer 2 technologies like Link Aggregation (LAG) and LACP. Design virtual networking solutions across on-prem and public cloud environments (AWS, GCP) Design and Optimise Kubernetes Container Network Interfaces (CNI) such as Calico, Cilium, or Flannel. Design robust and scalable routing policies and tables with virtual/physical routers and switches. Design comprehensive networking security strategies. … working with public cloud networking (AWS VPCs, Azure VNets, GCP networking, etc.) Proficiency with virtual networking in cloud and virtualization platforms (VMware NSX, Hyper-V, etc.) Practical knowledge of Kubernetes CNI plugins and container networking Familiarity with network monitoring and automation tools (e.g., NetBox, Ansible, Terraform) Strong troubleshooting and analytical skills General knowledge of satellite-based communication over LEO & GEO. More ❯

teams with strong technical leadership.Key Responsibilities* Pipeline Automation: Build and orchestrate data workflows using tools like Airflow, Prefect, or Dagster.* Containerization: Package and deploy data applications using Docker and Kubernetes (including EKS and AKS).* CI/CD for Data: Implement and maintain automated pipelines for data applications.* Monitoring & Observability: Deploy solutions using Grafana, Prometheus, and other tools to ensure … before presenting it to any potential employer.Please note we are on the client's supplier list for this position.KeywordsLead DataOps Engineer, DataOps, Data Pipeline Automation, Airflow, Prefect, Dagster, Docker, Kubernetes, EKS, AKS, CI/CD, Terraform, Ansible, Grafana, Prometheus, Spark, Kafka, PostgreSQL, Infrastructure as Code, Cloud Data Engineering, Hybrid Working, Security Clearance, Leadership, DevOps, Observability, Monitoring. More ❯

with strong technical leadership. Key Responsibilities * Pipeline Automation: Build and orchestrate data workflows using tools like Airflow, Prefect, or Dagster. * Containerization: Package and deploy data applications using Docker and Kubernetes (including EKS and AKS). * CI/CD for Data: Implement and maintain automated pipelines for data applications. * Monitoring & Observability: Deploy solutions using Grafana, Prometheus, and other tools to ensure … to any potential employer. Please note we are on the client's supplier list for this position. Keywords Lead DataOps Engineer, DataOps, Data Pipeline Automation, Airflow, Prefect, Dagster, Docker, Kubernetes, EKS, AKS, CI/CD, Terraform, Ansible, Grafana, Prometheus, Spark, Kafka, PostgreSQL, Infrastructure as Code, Cloud Data Engineering, Hybrid Working, Security Clearance, Leadership, DevOps, Observability, Monitoring. More ❯

IT experience, with5+ years in Azure architecture and cloud design.Proven experience designing and implementing solutions using coreAzure services such as:Azure Virtual Machines, VNet, Storage, App Services, Azure FunctionsAzure Kubernetes Service (AKS), Logic Apps, Event Hub, Service BusAzure SQL, Cosmos DB, Synapse Analytics, Data LakeAzure Active Directory, Key Vault, Monitor, and Security CenterStrong understanding of IaaS, PaaS, and SaaS models … with the ability to interface with business and technical teams. Preferred Skills Microsoft Certified: Azure Solutions Architect Expert certification (highly preferredExperience withhybrid cloud and multi-cloud environments.Familiarity withcontainerization (Docker, Kubernetes) and serverless architectures.Exposure todata modernization, AI/ML services, or analytics platforms on Azure.prior experience in regulated industries such as healthcare, finance, or government is a plus More ❯

using Golang, with supporting services in Python and C. Oversee infrastructure performance, scalability, and security across Digital Ocean and AWS. Build and maintain CI/CD pipelines, Docker, and Kubernetes environments. Manage cloud deployments and automation through Infrastructure as Code (IaC) principles. Use monitoring and logging tools to identify issues early and maintain system health. Explore and evaluate new technologies … system design, data structures, algorithms, and software architecture. Comfortable leading technical teams and projects within an Agile framework. Knowledgeable about AWS and Digital Ocean cloud environments. Experience with Docker, Kubernetes, NGINX, and CI/CD tools. Familiar with SQL and NoSQL databases (for example, PostgreSQL). Able to use monitoring and alerting tools to maintain performance. Clear and considerate communicator More ❯

and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at henry.clay-davies@searchability.com. For further information please call me on …/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning More ❯

teams, partnering with traders and analysts to deliver a prioritised development backlog Solve diverse technical challenges using Excel, Python, C#, SQL Server, Databricks, Angular, Azure, PowerShell/Bash, Docker, Kubernetes, Git, DevOps, Bicep, and AI tools Understand the business context of requests to deliver high-value, practical solutions Write clean, maintainable, and testable code using modern engineering practices (CI/… Query, VBA, VSTO, Excel DNA, xlwings; know when to use alternatives Agile Delivery: Experience with Scrum or Kanban Testing & Automation: Unit tests, SpecFlow/Cucumber, Playwright Containers: Docker and Kubernetes Exciting opportunity for a C# .NET Developer from a commodities or investment banking background with hands-on Python and Angular experience - apply today for immediate consideration More ❯

applying AI to real-world problems. Can (or want to learn to) build agentic AI systems that automate human processes. Understand (or are keen to learn) software deployment using Kubernetes and related infrastructure tools. Have strong problem-solving and project management skills. Thrive in a collaborative environment where shared success matters most. Are open to occasional travel for company-wide … Familiarity with MLOps practices and tools, CI/CD pipelines (e.g. GitLab CI, Argo CD), and infrastructure-as-code tools (e.g. Terraform). Knowledge of SQL/NoSQL databases , Kubernetes , and LLMs (Large Language Models). Why Join A small, remote-first team of passionate technologists dedicated to making the online world safer and fairer. The company’s culture is More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the … is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI, science, and engineering More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's … is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering More ❯

the job might not be the newest buzzword- you know that sometimes you can’t beat the tried and tested methods! Tech-wise, you can’t get enough of Kubernetes, you are a big Linux fan, and have been using a host of Cloud and DevOps tools like Helm, Ansible, and AWS/GCP/OCI/Azure etc, for … further down the line, there’s scope for you to get involved in R&D and Proof of Concept (POC) projects. You’ll be using the tech mentioned above- Kubernetes, Helm, Ansible, AWS/Azure/GCP/OCI, etc. Whilst you’ll use AWS and potentially OCI/GCP/Azure for some parts of your role, you’ll More ❯

and app runtimes. Implement and evolve CI/CD pipelines (HL version control set) with quality gates, automated testing, security scanning, and progressive delivery. Introduce and run GitOps for Kubernetes (AKS preferred), patterns and multi-environment promotions. Own platform observability: metrics, logs and traces using Azure Monitor/Log Analytics/Application Insights, plus Datadog/Grafana where appropriate. Embed …/or Bicep (optional); module design, versioning and testing. Solid CI/CD background using Azure DevOps or GitHub Actions (pipelines, environments, approvals, templates), including build and release strategies. Kubernetes experience in production (AKS): cluster operations, node pools, networking (CNI), ingress, secrets, RBAC and workload identity. Experience with GitOps, and container build pipelines (e.g., ACR, OPA policies, image scanning). … and technical interview including discussion of prior platform/DevOps work and scenario-based problem solving. Stage 2 (on-site/remote): practical exercise (e.g., pipeline/IaC/Kubernetes task) and a short design presentation to a panel. Working schedule This role is permanent, full time, 37.5 hours per week, Monday to Friday. We offer a hybrid flexible working More ❯

Title: Expert Cloud Infrastructure Engineer (Azure) Job Location: Washington District Of Columbia 20001 Onsite Requirements: Hybrid Demonstrate strong knowledge of Azure Databricks, Azure Domain Transfer (ADT), and use of Kubernetes Use Infrastructure as Code (Terraform or Azure Resource Manager/Bicep templates) to provision and manage cloud resources Enable consistent environmental builds across development, staging, and production in compliance with … subnets, firewall rules, and VM configurations, to meet project requirements for scalability, high availability, and security Demonstrate strong knowledge of Azure Databricks, Azure Domain Transfer (ADT), and use of Kubernetes Use Infrastructure as Code (Terraform or Azure Resource Manager/Bicep templates) to provision and manage cloud resources Enable consistent environmental builds across development, staging, and production in compliance with More ❯