51 to 75 of 1,697 Kubernetes Jobs in London

pipelines (Azure DevOps, GitHub Actions, etc.). Knowledge of Infrastructure as Code (Terraform, ARM, Azure Bicep). Experience with containerisation and orchestration (Docker, Kubernetes). Solid understanding of networking, security and system design fundamentals. Experience working with enterprise IT environments and shared platform teams (e.g. GTS). Familiarity with monitoring ...

including traffic routing, load balancers, and CDN caching. Understanding of data migration tools, database schema deployment, and data replication/synchronization techniques. Experience with Kubernetes or Docker environments; managing Helm charts or Kustomize for multi‐environment deployments. Proficient in at least one programming language: JavaScript, Python, Java, Groovy, TypeScript ...

platforms (AWS, Azure, or GCP) is a plus.Ability to work in Agile/Scrum environmentsStrong problem-solving and communication skillsPreferredExperience with containerization tools (Docker, Kubernetes).Exposure to DevOps practices and tools.Background in test-driven development (TDD) Experience in Blockchain and capital markets is good to havePersonalBesides the professional qualifications ...

/maintain automated tools for toil reduction, reporting based on python and other scripting language Preferred qualifications, capabilities, and skills KDB+ knowledge AWS experience Kubernetes Terraform We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. ...

management tools like Ansible, Chef, or Puppet.Deep knowledge of CI/CD pipelines and tools such as GitHub Actions, Jenkins, or Azure DevOps.Experience managing Kubernetes and containerized environments (Docker, Helm).Familiarity with log aggregation and analysis platforms like ELK Stack or Splunk.Excellent leadership, communication, and collaboration skills. ...

controls. Familiarity with the wider observability ecosystem and associated technologies: Cloud platforms: AWS, Microsoft Azure and/or Google Cloud Platform Containers and orchestration: Kubernetes, OpenShift and Docker Operating systems: Linux and Windows Server Telemetry and observability signals: OpenTelemetry (OTEL), application performance monitoring (APM), infrastructure monitoring, log monitoring, real user ...

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

/ML systems in production environments supporting large user bases Understanding of IT platforms i,e cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems ...

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

/ML systemsTechnical Insight• Skills with MLOps concepts and principles• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes).• Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. ...

outside the immediate team. It is advantageous for you to have knowledge of the following: You will have expert knowledge of C# Operation of Kubernetes Clusters Building cloud native applications (AWS) Front-end web technologies (React, shadcn) Domain Driven Design Mathematical Aptitude, particularly statistics Data Engineering skills Experience in building ...

Server, PostgreSQL, ETL pipelines, data lake patternsArchitecture: Event-driven systems, microservices, API-first designDevOps: CI/CD (GitHub Actions, Jenkins), Terraform, containerization (Docker/Kubernetes)Orchestration - : Airflow, Step Functions, BPM toolsObservability (desirable): GrafanaAI (desirable): AI/ML or GenAI adoption for automation and operational efficiencyExperience & SkillsProven experience as a Solutions ...

team supporting a high-volume message processing environment. The team is heavily Java-focused, operating within a client ecosystem that relies extensively on Kafka, Kubernetes/OpenShift, caching solutions, REST APIs, and high-throughput distributed systems. You will bring deep, practical experience in scaling systems that process millions of messages ...

Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead‐letter queues, error isolation). Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads. Observability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high‐availability environments. Data & Performance ...

machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions* Hands-on experience with containerization technologies such as Docker and Kubernetes, including cluster management, deployment, scaling, and observability* Deep practical knowledge of algorithmic trading workflows, including the behaviour, lifecycle, and risk controls of execution algos used across ...

Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead-letter queues, error isolation)Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloadsObservability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high-availability environmentsData & Performance: Data modeling ...

designing batch and stream data-processing systems. Cloud & tooling: AWS and/or GCP, Docker, Terraform, and observability tooling such as Datadog. Knowledge of Kubernetes, Kafka, and CI/CD pipelines is highly beneficial. Additional Information Bring all of you to work We create the conditions for high performers ...

methodologyExperience with various operating systems (Linux, Windows) and cross platform development.Excellent organizational skillsAnalytical mind with problem-solving skillNice to haveFamiliarity with large scale deployments: Kubernetes, Docker, TerraformFamiliarity with CI/CD pipelines and associated scriptingKnowledge in other programming languages like Java, C#, Ruby, R, Go, Node.js, and Perl ...

developers, product owners, and architects, fostering a culture of engineering excellence and innovation.Work with Modern Technology: Utilize a modern tech stack, including React, Java, Kubernetes, Docker, and Kafka, to build cutting-edge financial technology solutionsWe work hard to have a positive financial and social impact on the communities we serve. ...

product owners, and architects, fostering a culture of engineering excellence and innovation. Work with Modern Technology: Utilize a modern tech stack, including React, Java, Kubernetes, Docker, and Kafka, to build cutting-edge financial technology solutionsWe work hard to have a positive financial and social impact on the communities we serve. ...

machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutionsHands-on experience with containerization technologies such as Docker and Kubernetes, including cluster management, deployment, scaling, and observabilityDeep practical knowledge of algorithmic trading workflows, including the behaviour, lifecycle, and risk controls of execution algos used across the EMEA ...

Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead‐letter queues, error isolation). Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads. Observability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high‐availability environments. Data & Performance ...

machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions Hands-on experience with containerization technologies such as Docker and Kubernetes, including cluster management, deployment, scaling, and observability Deep practical knowledge of algorithmic trading workflows, including the behaviour, lifecycle, and risk controls of execution algos used across ...

Be an integral part of an agile team that continuously pushes the envelope to enhance, build, and deliver top‐notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Global Electronic ...

team responsible for ensuring Mimecast’s Hybrid Cloud infrastructure remains secure, resilient, and scalable. You’ll work with cutting-edge technologies like Kubernetes, AWS, and Infrastructure-as-Code, all while collaborating with a supportive and talented team. If you’re excited about making a real impact and growing your career … What You’ll Do: Ensure platform reliability : Configure and maintain infrastructure to ensure optimal performance, security, and availability. Manage containerization platforms : Operate and improve Kubernetes and AWS EKS to support Mimecast’s microservices architecture. Automate infrastructure : Build reusable Infrastructure-as-Code (IaC) and automation to standardize infrastructure provisioning and deployment ...