1 to 25 of 50 Part-Time Kubernetes Jobs in London

cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) \n Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes \n Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) \n Strong problem-solving and communication skills \n\n Preferred ...

applications.\n \n \nStrong foundation in Linux/Unix systems administration, scripting, troubleshooting, and infrastructure concepts.\n \n \nHands-on experience with Ansible and Kubernetes in enterprise or production environments.\n \n \nDemonstrated ability to define and operationalize SLIs, SLOs, dashboards, alerts, and health indicators.\n \n \nHands-on experience ...

Prometheus, Grafana, ELK, Datadog, Splunk, etc.) \n Familiarity with backend frameworks like Spring, Micronaut, or Dropwizard (Spring is a big plus) \n Experience with Kubernetes \n Experience with non-functional testing \n Knowledge of Infrastructure-as-Code concepts and tools like Terraform \n Experience designing and supporting automated testing frameworks ...

level.\n \n \nExperience with configuration management (Ansible, Packer), CI/CD (GitHub Actions), Infrastructure as Code (Terraform), containers (Docker), container and job orchestration (Kubernetes).\n \n \nExperience of workflow orchestration solutions such as Temporal, Cadence, or AWS step functions would be a major bonus.\n \n \nCustomer ...

Working with Configuration Management tools such as Puppet, Chef, or Ansible etc \n Working with Docker, and container runtime platforms such as Kubernetes, Openshift or Marathon/Mesos etc \n A working knowledge of Linux, networking, routing & firewalls etc \n\n \n The Team \n We work hard and often ...

nUtilize cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications \nPreferred qualifications, capabilities and skills\n \n \nExperience with MLOps tools and platforms such as MLflow, Amazon ...

data technologies \n Have constructed batch and streaming microservices exposed as REST/gRPC endpoints \n Experience with container orchestration tools (e.g. Kubernetes, Helm) \n Knowledge of open source datasets and benchmarks in NLP \n Hands-on experience in implementing distributed/multi-threaded/scalable applications \n Track record ...

processing platforms such as Kafka of Kinesis. ● Experience working with batch processing frameworks, such as DBT, Argo Workflows, Apache Airflow, etc. ● Familiarity with Docker, Kubernetes, Amazon EKS ● Familiarity with Continuous Integration with GitHub Actions ● Familiarity with Test-Driven Development and XP Our commitment to equity, diversity and inclusion : At giffgaff ...

experience) \n\n \n Some industry experience, with at least 2+ years in a cloud or virtualization role \n\n · Experience with containerisation and Kubernetes \n \n Strong experience with VMware vSphere, Microsoft Hyper-V, or KVM \n\n \n Familiarity with public cloud platforms such as AWS, Azure ...

Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). \n Enjoy automating processes. \n Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). \n A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness ...

techniques. \n Experience working with large, complex datasets and applying statistical analysis. \n Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). \n Experience managing data science teams and coaching team members. \n Problem-solving skills and ability to work independently and as a leader within ...

code reviews etc). \n \n\n \n \nExperience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. \n \n\n \n \nExpertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. \n \n\n \n \nUnderstanding ...

nStrong understanding of data preprocessing, feature engineering, and evaluation techniques.\n \n \nFamiliarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).\n \n \nStrong communication skills for both technical and non-technical audiences.\n \n\n Preferred qualifications \n \n \nExperience fine-tuning small language models (SLMs ...

take AI agents from research to production \n Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices \n Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval \n Familiarity with Python ...

deploy automated preventive and detective guardrails at scale.\n \n Expertise in leveraging IaC scanning to detect misconfigurations and compliance violations across Terraform and Kubernetes manifests \n Hands-on experience in integrating a comprehensive DevSecOps tooling stack, including SAST, SCA, RASP, IAST, container and image scanning, secrets detection ...

passion for self-development and learning who keeps up to date with the latest Web/React trends and technologies. \n Experience with Kubernetes \n Experience with GraphQL \n Experience with Node.js \n Worked with GraphQL APIs \n Feature flagging/AB testing \n Appreciation/Exposure to React Native ...

data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc. \n Solid grasp of Kubernetes, CI/CD and Terraform. \n Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt. \n Ability to provide clear ...

Required qualifications, capabilities, and skills \n \n Formal training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS \n Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation) \n Demonstrated experience using enterprise-authorized AI capabilities within ...

Certified Solutions Architect).\n \n \nExpert-level administration of a major cloud platform (GCP, AWS, or Azure).\n \n \nMastery of Kubernetes administration and operator patterns.\n \n \nStrong cloud networking expertise across the OSI networking model.\n \n \nStrong proficiency in Infrastructure as Code (IaC) methodologies. ...

with proficiency in SQL \n Experience working with cloud platforms (e.g., Azure) and big data technologies like Spark, Flink etc., \n Solid grasp of Kubernetes, CI/CD and Terraform \n Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow \n Hiring, developing, and retaining cyber data ...

needs to evolve to meet our needs. We use ADRs as part of our decision-making process and our architecture is microservices running on Kubernetes with a heavy use of Kafka and even-driven design. \n Take ownership of tasks from the estimation stage right through until the release stage ...

Experience working with cloud platforms such as Azure, AWS, or GCP • Familiarity with CI/CD pipelines and container technologies such as Docker and Kubernetes • A track record of building scalable, high-quality SaaS platforms • A pragmatic approach to engineering with a focus on simplicity, performance, and long-term maintainability ...

platform with Delta Lake \n Lightdash as our BI tool and semantic layer \n Streamlit for interactive data applications \n Airflow for orchestration \n Kubernetes for application deployment \n CI/CD with GitHub and CircleCI \n Infrastructure on AWS, deployed with Terraform/Spacelift ...

knowledge of microservices and distributed systems \n Experience with relational and NoSQL databases \n Familiarity with DevOps practices including CI/CD, Docker, and Kubernetes \n Experience working in Agile environments \n A strong focus on quality, performance optimisation, and high availability systems \n\n #LI-Hybrid ...

LangChain, LlamaIndex, etc.) \n Proven track record of deploying AI applications into production environments \n Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) \n Knowledge of MLOps best practices \n Excellent problem-solving skills and ability to work in a fast-paced environment \n\n So, what ...