301 to 325 of 1,878 Kubernetes Jobs in London

Azure GitHub Actions and AWS CodePipelines/CodeBuild Terraform Containerisation such as Docker, Elastic Container Service (ECS), Elastic Container Registry (ECR) and Kubernetes ElasticSearch/OpenSearch Python and Django framework PostgreSQL as a service (Amazon RDS) Datadog, Logstash Redis/Elasticache Skills and experience required for the Site Reliability Engineer ...

pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOps fundamentals: eval harness design, prompt versioning, and production observability Cloud‐native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm) Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience Quality ...

physical serversKnowledge of virtualisation of service applicationsAdvanced monitoring experience using tools such as Datadog, Prometheus, or ELK.A professional-level cloud certificationProduction experience managing complex Kubernetes clusters and high-scale Docker environments.Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large-scale datasetsAccessibility StatementOur London studio ...

messaging technologies (Solace/Kafka) and real‐time systems Strong experience designing and building event-driven systems deployed to cloud environments (AWS, EC2, EKS, Kubernetes) Experience with memory architectures and network performance in low latency platforms Experience with Maven or Gradle (Maven preferred), and JUnit Experience in Git or other ...

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

also values curiosity, humility, trust, ownership and team spirit.Our technical stack is C# on .NET Core Linux, React, TypeScript, PostgreSQL, Google Cloud Platform, Docker, Kubernetes, Terraform, RabbitMQ and Circle CI.Explore Our Tech Blog:If you're curious about the kind of challenges our engineering team tackles, our culture ...

Cisco Secure Network Analytics. You will have experience designing/assessing security architectures across a range of modern deployment technologies, including containerised workloads in Kubernetes and Docker Swarm/Enterprise, virtualised platforms such as VMware, and CI/CD pipelines using tools like Jenkins and Azure DevOps You will have ...

DevOps/Platform Engineer Strong production experience with Python and software design patterns (SOLID, DRY) Expertise in AWS (or similar cloud providers), Containerization and Kubernetes Deep understanding of RESTful API or GraphQL API design and development Strong experience with GIT and CI/CD tooling (Github Actions, Gitlab, Argo ...

modeling. Excellent problem-solving skills and attention to detail. Strong communication and leadership skills. Good experience with DevOps practices and tools such as Docker, Kubernetes, Jenkins, etc. Additional information One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees ...

modeling. Excellent problem-solving skills and attention to detail. Strong communication and leadership skills. Good experience with DevOps practices and tools such as Docker, Kubernetes, Jenkins, etc. Additional InformationAt Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth ...

exchange for joining an incredible journey and learning a lot along the way. Requirements Technical stack : Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, GitHub Actions. Observability : Experience implementing logging, metrics, and tracing frameworks. Security : Familiarity with best practices, secrets management, and security scanning tools. Networking : Solid understanding ...

innovation sprints to generate new automation ideas and create user stories for rapid prototyping.* Use technologies like Terraform, Ansible, Azure DevOps, Github, OctopusDeploy, Kubernetes, OpenTelemetry, Datadog, Grafana, Prometheus, low-code automation platforms (e.g., Power Automate, UiPath) to help evolve the team's capabilities.* Coordinate planned outage and environment refreshes ...

primary languages (Java, Python, Clojure).Experience with Airflow or other Python-based workflow orchestration tools.Proficiency in domain-driven design and domain modeling.Exposure to Kubernetes, Docker, Linux, Kafka, RabbitMQ, or git.Working knowledge of SQL, HTML, CSS, and JavaScript.Using AI coding assistants to accelerate development while owning the outcome.Exposure to agentic frameworks ...

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

efforts are placed correctly.Qualifications5+ Years as a DevOps EngineerStrong knowledge of AWS and CI/CD pipeline creation and maintenancePractical experience using Terraform(IaC), Kubernetes and HelmExperienced with multiple ecosystem databases, architecture and integrationExperience with monitoring tools to ensure system reliability and performance.Practical experience using AWS CloudCI/CD: Proficiency ...

Experience in financial services, particularly trading systems or risk management Knowledge of FX markets and risk calculation methodologies Expertise in containerization and orchestration (Docker, Kubernetes) Experience building CI/CD pipelines and implementing DevOps practices Microservices architecture experience at scale Join us if you: Are passionate about leading teams ...

SFTP, or Swift messaging.Familiarity with MCP (Model Context Protocol) integrations and AI agent workflows.Experience testing event-driven architectures, including Azure Service Bus and Azure Kubernetes Service (AKS).Knowledge of NeoLoad or other non-functional testing tools.Understanding of the European Mutual Funds and/or ETF industry.ISTQB Certification (or equivalent).We ...

connectivity, data mesh/lakehouse, CQRS, and domain‐driven design Experience with hyperscale cloud platforms (AWS/Azure/GCP), container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real‐time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible ...

Code (IaC) and containerized application developmentFamiliarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and BedrockPractical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps)Experience working on AIML systems and/or prior experience collaborating with data scientistsJ.P. Morgan ...

automated way.Hands-on experience with CI/CD tools such as GitHub Actions or ArgoCD, with a focus on streamlining code deployment.Solid knowledge of Kubernetes and Docker for container management and orchestration in cloud environments.Experience working with monitoring and observability tools like Prometheus and Grafana to ensure system reliability ...

pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOps fundamentals: eval harness design, prompt versioning, and production observability Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm) Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience Quality ...

modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI); vector databases; containerization and orchestration (Docker, Kubernetes); distributed computing. Architecture Design – end‐to‐end design of Generative and Agentic AI architectures encompassing data preprocessing, model selection, RAG pipelines, agent orchestration, MCP‐based ...

distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks). Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines. Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems. Track record of taking products or systems from ...

solutions in collaboration with data scientists and product teams Design and build model pipelines for training, validation, and deployment using modern tooling (e.g.MLflow, Kubernetes) Contribute hands‐on code to model packaging, deployment, and lifecycle automation Build systems thatmonitormodel performance, drift,reliabilityand operational health in real time Support both batch ...

VAEs; diffusion models a plus).Strong understanding of data preprocessing, feature engineering, and evaluation techniques.Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).Strong communication skills for both technical and non-technical audiences.Preferred qualificationsExperience fine-tuning small language models (SLMs) with LoRA, QLoRA, DoRA; quantization and distillation ...