176 to 200 of 623 Docker Jobs in London

GitHub Actions, Argo CD, Argo Rollouts) Security and compliance tooling (e.g. Trivy scanning and vulnerability management, HashiCorp Vault, cert-manager) Containers and orchestration (e.g. Docker, AWS EKS) Infrastructure as Code (e.g. Terraform) Observability (e.g. Grafana, Loki) Scripting and automation (e.g. Python, Bash) Cloud and networking fundamentals (e.g. ...

containerized application development Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock Practical 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 scientists #J-18808-Ljbffr ...

extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly ...

RESTful services, Microservices, ASP.Net Core Experience with Azure Compute, Storage, and PaaS services Skilled in SQL Server, Azure SQL, and Entity Framework Familiarity with Docker and Kubernetes/AKS Proficient in Git, Azure DevOps, GitHub, Maven, Jenkins, etc. Microsoft Certified: Azure Solutions Architect Expert qualification About you Characteristics ...

pose estimation. Multi-object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence ...

extended time period Extensive experience with PyTorch and related data science Python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly ...

using cloud platforms such as AWS, Azure, or Google Cloud Understanding of configuration differences across development, test, staging, and production-like environments Familiarity with Docker and Kubernetes from a testing and deployment perspective Strong SQL skills for test data setup, validation, and investigation Experience testing systems that use Redis, Elasticsearch ...

network segregation mechanisms Experience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform) Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes) Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent Expertise in Computer Science, Computer Engineering, or a related technical field ...

/JSON and Java serialization. Desirable Criteria Layered/clean architecture and design patterns. AWS services e.g ECS, RDS, SQS, ECR etc. Containerisation (e.g., Docker). Unix and shell scripting. Experience working with large databases. Tools: Git, Maven, Apache Tomcat, Jenkins, Jira. Knowledge of security best practices (e.g., OWASP ...

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 ...

extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly ...

Cloud Platform. Understanding of APIs, microservices, distributed systems, and enterprise integration patterns. Experience designing secure, scalable, and highly available enterprise solutions. Familiarity with Kubernetes, Docker, cloud‐native technologies, and modern application architectures. Ability to communicate complex technical concepts to both technical and non‐technical stakeholders. Experience working with cross‐functional ...

Engineering, or a closely related role. Hands-on experience with cloud platforms such as AWS and strong familiarity with containerization and orchestration technologies including Docker and Kubernetes. Experience building and maintaining CI/CD pipelines and working with infrastructure-as-code and configuration management tools. Good scripting or programming skills ...

Frontend Proficiency: Mastery of TypeScript , React , Jest , and Storybook . (Experience with Micro-Frontends is a massive bonus). DevOps & Cloud: Comfort with AWS , Docker , Kubernetes , and Terraform for Infrastructure as Code. Engineering Mindset: Strong grasp of system design, scalable integrations, and fundamental algorithms/patterns. Collaboration: Excellent spoken ...

latency, performance, data pipelines, state, memory and tool/function calling. Experience building search and retrieval systems over very large multimodal datasets. Experience with Docker, Git and cloud platforms, ideally AWS. Understanding of secure deployment architectures, including air-gapped, on-premises or sovereign cloud environments. The ability to take technical ...

customers and meet enterprise‐grade standards. Tech Stack includes: Node.js (TypeScript & JavaScript), Dart/Flutter, C++, MySQL (Aurora), Redis, OpenSearch, AWS (Fargate, Lambda, CloudWatch), Docker, Terraform, GitHub Actions Requirements 8+ years of professional software engineering experience, specifically in backend and infrastructure. Proven track record of owning and delivering backend services ...

security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event‐driven architectures, data pipelines ...

beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition ...

have: Experience with Azure Functions, API Management, Service Bus, Event Grid or Logic Apps. Knowledge of Azure data and AI technologies. Experience with Docker, Kubernetes or Azure Kubernetes Service. Experience supporting consumer‐facing digital products across multiple countries. Experience working with external technology partners and delivery teams. What ...

beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition ...

production backend experience: 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 ...

Front Office Risk calculations, especially for Credit products Experience in building highly scalable and distributed applications using Microservices, APIs, and Container technologies such as Docker, Kubernetes, OpenShift, etc. Strong expertise in messaging technologies such as Kafka, JMS, gRPC etc Proficient in latency measurement and performance optimization of Java based platforms ...

console. CI/CD you've actually built. GitHub Actions (or equivalent), OIDC‐based cloud auth, container builds, and multi‐environment delivery pipelines. Docker fluency building, slimming, tagging, and shipping images through a registry. Deep understanding in VPC, Subnets, Routing, Gateways, trust boundaries. Comfortable in Python and Bash to glue ...

relevant given your Harness Engineering direction). Infrastructure as Code — Terraform. Cloud platform — AWS (ECS/EKS, Lambda, S3, IAM, networking); container orchestration with Docker + Kubernetes. Observability & monitoring — OpenTelemetry, CloudWatch, logging/tracing for AI workloads. Scripting/automation — Python and/or Bash. Security & compliance operations — secrets management ...

skills, including designing and implementing services/data models and features. Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms ...