201 to 225 of 646 Docker Jobs in London

event-driven architectures and cloud-native development, ideally within Azure . Experience with CI/CD pipelines, DevOps practices and containerisation technologies such as Docker and Kubernetes. Strong understanding of software architecture, engineering best practices and secure development principles. Experience working with relational and NoSQL databases. Exposure to modern frontend ...

concurrency systems. Solid background in microservices architecture and API design. Proficiency in SQL and experience with relational databases (PostgreSQL, Oracle). Familiarity with Kubernetes, Docker, and cloud environments (AWS, GCP, Azure). Experience with monitoring tools (e.g., Prometheus, Grafana, ELK, or similar). Strong communication and collaboration skills. Fluency ...

essential. Solid scripting & development experience in one or more of the following languages: Bash, Python, Java, C#, Rust, Excel VBA Nice to haves Containerization (Docker/Kubernetes) in a production environment Monitoring tools in a production environment (Prometheus/Grafana/ELK stack/Splunk) IaC tooling (Terraform, Ansible ...

e.g. Agile, version control, automated testing, CI/CD, observability) Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes) Please note that we do not offer sponsorship for our London office. Flow Traders does not accept unsolicited resumes from any professional staffing ...

policies, multi‐environment promotion) AWS experience (EKS, EC2, IAM, VPC, CloudWatch, S3) with production‐grade reliability Kubernetes workload management, Helm/Helmfile chart authoring, Docker image best practices Terraform module development and state management for AWS infrastructure Monitoring with CloudWatch, Prometheus, Grafana, or ELK; incident investigation skills DevSecOps practices across ...

equivalent frameworks RAG, vector databases and embeddings Azure AI, AWS AI or Google Vertex AI MLOps, CI/CD and cloud-native deployment Docker, Kubernetes and modern software engineering practices What we're looking for 3+ years building commercial AI solutions Proven experience deploying AI into production-not just proof ...

Have some experience with data engineering, building data pipelines with PySpark, SQL (E.g in Databricks, Glue) to power machine learning applications. Comfortable working with Docker and containerised applications. Experience leveraging AI native engineering tooling. Passion for building products that meet customer needs and business objectives. Strong sense of responsibility ...

patterns such as microservices, CQRS, and event sourcing Experience with at least one major cloud provider (AWS, Azure, or GCP) Experience with Kubernetes and Docker containers Experience designing and building microservices architecture A team player with a positive attitude and a problem-solver mindset #J-18808-Ljbffr ...

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. ...

vector databases including technologies such as Postgres and Firestore. Experience implementing RAG solutions, prompt engineering and model evaluation frameworks. Hands-on experience with Docker, Kubernetes, CI/CD pipelines and Infrastructure as Code tools such as Terraform. Why Apply? Base salary of up to £190,000 plus 20% annual bonus ...

Splunk, etc. Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.), experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.) Experience with troubleshooting common networking technologies and issues Ability to identify and solve problems related to complex data structures and algorithms Drive to self ...

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 ...

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 ...

call rota. BIST's tech stack includes: AWS and 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 ...

Telephony, Voice Live, Azure ML Proven industry experience with Python, Javascript, Typescript, React, Redux, Java Experience with LLM’s including realtime models Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka, New Relic, MCP, Websockets Experienced in writing automated tests and maintaining CI/CD pipelines Proven experience ...

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 ...

Technical Leadership: 5+ years of experience technically leading similar product development. Linux: Significant experience with Linux. Virtualisation: Experience with virtualisation and containers (such as Docker or Kubernetes). Software development lifecycle: Familiarity with Git, DevOps, continuous integration, continuous delivery. Networking: Knowledge of networks and networking protocols (such as TCP/ ...

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 strong networking ...

data 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 ...

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 of VPCs ...

Good verbal and written communication skills. Familiarity with cloud platforms (e.g., Azure (preferable), AWS, or Google Cloud). Basic knowledge of containerization tools like Docker and orchestration platforms like Kubernetes. Interest in infrastructure‐as‐code tools like Terraform. Passion for exploring the intersection of NLP and emerging fields such ...

similar; 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 ...

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 ...

metal, HCI). Experience with public cloud platforms (AWS, Azure, GCP) and hybrid cloud strategies. Familiarity with HPC architectures and containerization technologies (e.g., Kubernetes, Docker) for AI workloads. Certifications (Preferred): Relevant technical certifications such as AWS Solutions Architect, Cisco CCNP/CCIE, NVIDIA Certified, VMware VCP, or PMP. Soft Skills ...

extensive, multi-region service platforms Proficiency in Kubernetes and background in managing cloud infrastructure, especially AWS Experience with container schedulers and runtimes such as Docker, Rkt, or OCI running on Kubernetes, Rancher, or Mesos Experience with Infrastructure-as-Code (e.g., Terraform, CloudFormation, etc.) Security awareness, with an emphasis on crafting ...