1,251 to 1,275 of 3,846 Kubernetes Jobs

Cloud (GCP or AWS) and popular cloud Big Data tools - BigQuery, Dataflow, Looker Hands on containerisation experience (Docker or similar) and orchestration (e.g. with kubernetes) Experience processing of biological archive data Tests and CI/CD Curiosity or experience with LLM APIs, agent frameworks, MCP, or retrieval-augmented systems ...

years)* Working experience with API and backend services deployed to cloud based environment* Experience with distributed architecture and modern CI/CD practices (Docker & Kubernetes)* Containers/Cloud experience* Experience with database systems and messaging solutions (Sql Server, MongoDB, Memcached/Redis)* Source Control Management (GIT)Desirable technical skills:* C++ ...

cloud systems. Experience operating GPU-backed environments or large-scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps). Strong Kubernetes experience, including operating production clusters. Hands-on experience running production workloads in AWS, GCP, or Azure. Experience operating complex distributed systems in production, ideally including ...

remove things. Desirable Experience Architecture or engineering experience with Google Cloud Platform. Experience working in complex, regulated, or security-sensitive environments. Knowledge of Kubernetes, container platforms, serverless services, and cloud‐native application patterns. Experience with Azure DevOps, GitHub Actions, or comparable CI/CD technologies. Familiarity with FinOps, operational resilience ...

/Oracle/MyBatis/Swift/Kotlin Cucumber/Selenium/RestAssured/Jenkins Linux/Windows/AWS/Terraform IaC/Kubernetes Interview Process This will be a 3-stage interview process comprising an initial informal call with the hiring manager, followed by two structured interviews. Working ...

more tools and technologies. Able to identify requirements and translate into actionable design documentation. Experience working with DevOps tools (e.g. Git, Jenkins, Docker, and Kubernetes). It would be advantageous to have multi-cloud experience (including but not limited to AWS, Azure, and Google Cloud) Have worked in an agile ...

scale cloud systems. Experience operating GPU-backed environments or large-scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps).Strong Kubernetes experience, including operating production clusters. Hands-on experience running production workloads in AWS, GCP, or Azure. Experience operating complex distributed systems in production, ideally including ...

solutions. Have a good grasp of IaC (Infrastructure-as-code) tools like Terraform or CloudFormation. Previous exposure to additional technologies like Seldon, KServe, RayServe, Kubernetes, MLFlow, Sagemaker, Kubeflow, Anyscale, Valohai, ArgoCD, Docker, Python, Java, Ray, Spark, Pandas, Argo Workflow, Postgres, Snowflake and BigQuery is highly desirable. Good to have: previous ...

MFA. Cisco networking technologies, Cisco ISE and Catalyst Centre or equivalent demonstrable networking experience. Infrastructure performance and capacity monitoring, planning and remediation. AWS, Azure, Kubernetes, container platform concepts and cloud-based infrastructure patterns desirable. Infrastructure as Code, automation, scripting and CI/CD practices desirable with experience of Terraform preferred ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 3+ years ...

reusable platform capabilities, internal developer tooling, SDKs, or shared engineering services. Cloud & InfrastructureHave strong experience building cloud-native applications. Are comfortable working with Docker, Kubernetes, CI/CD pipelines, and containerised deployments. Have experience with solutions such as AWS Bedrock and AgentCoreUnderstand how to deploy, monitor, and operate AI services ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ ...

Test automation and CI/CD experience; building automated validation pipelines, not just running them. Infrastructure-as-code and configuration management (Terraform, Ansible, Docker, Kubernetes). On‐prem and cloud deployment experience. Observability tooling: Prometheus, Grafana, ELK, or equivalent. Linux systems administration depth; comfort in mixed Linux/Windows environments. ...

flags (e.g. LaunchDarkly) Experience with Typescript 5 Strong understanding of Tailwind CSS Strong understanding of monorepos Experience with cloud and containerisation technologies such as Kubernetes, Docker, Kafka and AWS Experience with Ionic Capacitor Understanding of software architecture and design patterns Interest in keeping up with latest tech stacks Please note ...

years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ ...

Technologies We Use Different backend languages, including Java, Rust, Python and Go Distributed systems technologies such as Kafka, Cassandra, Elasticsearch and Spark Docker and Kubernetes for containerisation and orchestration Industry-standard build tooling, including Gradle and GitHub What We Value A deep understanding of server-side logic, efficient data handling ...

deploying software or data products on Azure, AWS or GCP, DataBricks, Snowflake, Palantir etc. using relevant cloud services and at least one of containers, Kubernetes or serverless patterns. Delivery experience in a regulated environment or under formal responsible-AI, security or model-risk controls. Locations London Manchester Equal Employment Opportunity ...

Languages Strong experience with TypeScript and modern frontend frameworks Knowledge of Node.js, Python, and Go is a plus Tooling & Infrastructure Git, Docker, Webpack, npm, Kubernetes, GCP Monitoring and alerting tools (e.g. Grafana, Datadog) Feature flagging systems ______________________ You Might Thrive in This Role If You: Have 5+ years of experience building ...

Ensure environments meet security and compliance standards. Lead root-cause analysis and implement preventative automation. Tech Stack AWS, Terraform, CloudFormation, GitHub Actions, Jenkins, Docker, Kubernetes/EKS, CloudWatch, Prometheus/Grafana, Geneos, ELK/Opensearch, Python, Shell. Experience We Value Strong experience managing and automating cloud environments on AWS. Expertise ...

integrating agentic AI solutions with SAP business processes. Familiarity with AI Landing Zone design patterns, guardrails and governance frameworks. Experience with containerization (Docker/Kubernetes) and cloud‐native deployment patterns on Azure. Understanding of multi‐agent coordination patterns using Copilot Studio or Azure AI Foundry. Knowledge of healthcare data privacy ...