1 to 25 of 70 Permanent Docker Jobs in the City of London

well-known Security Integrator . You will be responsible for supporting cloud-hosted systems on AWS, with a strong focus on containerized environments using Docker and Docker Swarm. Our systems provide critical infrastructure for physical and electronic security solutions, so reliability, responsiveness, and attention to detail are essential. … Responsibilities: Provide support for cloud-hosted production and staging environments used in electronic security platforms. Monitor, maintain, and troubleshoot distributed containerized services using Docker and Docker Swarm. Respond to and resolve incidents, working to minimize downtime and ensure high system availability. Investigate system performance, log anomalies, and service issues, escalating ...

Jenkins, GitHub Actions, or GitLab CI. Proficiency in scripting languages such as Bash, Python, or Go. Experience with container orchestration tools such as Kubernetes, Docker Swarm, or HashiCorp Nomad. Excellent problem-solving, communication, and collaboration skills. Nice to have: Experience managing distributed systems, microservices, and event-driven architectures. Knowledge ...

version control and collaborative development (GitHub/GitLab) - AWS cloud infrastructure, ideally with Infrastructure as Code using Terraform - Kubernetes and container technologies (Docker) for modern platform environments - Experience working with CI/CD pipelines and automation tooling (e.g. Jenkins, Bamboo) - Strong understanding of modern platform architecture, microservices and cloud-native ...

Cloud certifications (or equivalent hands-on experience) Exposure to AI/ML tools and techniques Key Skills: Cloud platforms (GCP preferred) Containers & serverless (Kubernetes, Docker, Functions) Data & analytics tools (SQL, distributed data systems) Languages: Java, Python, JavaScript CI/CD & tooling (eg Jenkins or similar What You'll Get Competitive ...

Ansible, Terraform) Hands-on with CI/CD tooling (GitHub Actions, GitLab CI, etc.) Exposure to cloud platforms (AWS, Azure, or GCP) and containerisation (Docker/Kubernetes) Good understanding of core networking concepts (BGP, VLANs, VXLAN, etc.) Why consider this role? You’ll join a tech-driven trading environment where ...

Strong knowledge of microservices architecture in cloud environments Strong understanding of database design and experience with relational and/or NoSQL databases Experience with Docker for containerisation Familiarity with Kubernetes Proficiency in using Git and JIRA Background with CI/CD pipelines + tools Experience writing documentation Background ...

focused tooling and DevSecOps practices, including scanning, analysis, and secure deployment workflows. What we’re looking for Strong, hands‐on experience with AWS, Kubernetes, Docker, and cloud‐native architectures. A solid background in Infrastructure‐as‐Code, automation, and CI/CD engineering. Familiarity with scripting and automation using Python ...

including prompt engineering, context management, and evaluating AI-generated code critically DevOps & Infrastructure Hands-on experience with cloud platforms (AWS preferred) Experience with containerisation (Docker) and orchestration (Kubernetes) Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar) Experience setting up CI/CD pipelines Understanding of service deployment, monitoring ...

microservices, and working with cloud-based architectures (AWS, GCP, or similar). Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes. Experience in managing and deploying services in Linux/Unix environments. Strong analytical and problem-solving skills, with a keen attention to detail ...

Experience building backend services, APIs, and distributed systems Strong knowledge of cloud platforms (AWS, GCP, or Azure) Experience with containerisation and orchestration (Docker, Kubernetes) Experience with CI/CD pipelines and DevOps practices Strong understanding of databases and data pipelines (SQL, NoSQL, ETL systems) Experience working with large-scale datasets ...

Azure cloud services. Exposure to streaming or event-driven architectures (e.g., Kafka, Kinesis). Experience with infrastructure as code (e.g., Terraform) and containerisation (e.g., Docker, Kubernetes). Understanding of data governance, lineage, cataloguing, and security best practices. Previous experience working with SQL Server. Familiarity with Snowflake and/or PostgreSQL. ...

following tech stack: Backend: Python, FastAPI, SQLAlchemy, Pandas Frontend: js & React Infrastructure: AWS, including Lambda, all built via Terraform Database: PostgreSQL Containerisation: Docker Training and support will be provided to help you grow your skills in these areas and we will consciously introduce you to other areas of our technology ...

following: Cloud technologies AWS modules: CloudWatch (logging), Athena, EC2, Lambda, storage (S3, EBS), databases (RDS, DynamoDB) stream-processing platform: Kafka, webhook, protos Docker and Kubernetes (nice to have ...

Cloud platforms (AWS preferred; SageMaker experience a plus) CI/CD for ML (e.g. GitHub Actions, GitLab CI, Azure DevOps, etc.) Containerisation and orchestration (Docker, Kubernetes) Infrastructure as Code (Terraform or similar) Python-centric ML workflows Sponsorship not available for this role. ...

REQUIREMENTS (OPTIONAL) - Knowledge of financial services technology and trading systems. - Experience with cloud platforms such as AWS or Azure. - Familiarity with containerization tools like Docker and Kubernetes. For more information on how we process your personal data, please refer to HCLTech’s Candidate Data Privacy Notice. ...

environments to ensure quality (Claude or similar). The Cherry on Top If you’ve dabbled in Infrastructure as Code (Terraform), messed around with Docker/K8s, or are currently exploring the world of AI-assisted development (RAG, vector stores, or agentic workflows), you’ll find plenty of room ...

Terraform or CloudFormation. Solid understanding of cloud strategy, platform engineering, and operating models , with hands-on expertise in areas such as: Automation Containerisation (Docker, Kubernetes) FinOps Proven ability to translate business needs into scalable, user-focused cloud solutions . Excellent communication, stakeholder engagement, and team-empowerment skills. A growth mindset ...

Generative AI , including: Prompt engineering Retrieval‐Augmented Generation (RAG) Agentic workflows Experience deploying AI on cloud platforms (Azure, AWS or GCP) Containerisation and orchestration (Docker, Kubernetes) M&A & Enterprise Transformation Proven experience working in M&A, carve‐out, or post‐merger integration contexts Comfortable operating in ambiguous, high‐pressure transformation ...

techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge ...

with embeddings, vector databases, LLM orchestration (desirable) Data observability and model monitoring Platform & DevOps CI/CD for data workflows Git-based engineering standards Docker/containerisation Infrastructure-as-code (e.g., Terraform) Monitoring and alerting systems 👤 What We’re Looking For 6–10+ years in data engineering or related disciplines ...

Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) Solid scripting/Automation experience with Python, Bash or Go A good communicator who enjoys working ...

Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. ...

deploy to production multiple times a day 🛠️ Tech Stack Backend: Python (FastAPI) + Typescript (express) Frontend: React + Typescript Infrastructure: AWS (serverless!), terraform Containerisation: Docker Database: PostgreSQL + DynamoDB CI/CD: GitHub actions + Blacksmith runners 👩💻 What You'll Do Build exceptional product and scale the core experience Implement ...

collaborative development workflows Ability to work in a fast-paced environment and take ownership of features Nice to Have Development & Infrastructure Experience with Docker and containerised deployments Familiarity with AWS services (S3, EC2, ECR, Cognito) Experience working with JupyterHub, JupyterLab or Airflow APIs Experience building developer platforms or internal tooling ...

working on the delivery and management of AWS infrastructure and services within high performance environments You have experience with serverless and containerisation technologies: Lambda, Docker, ECS, Fargate You have experience with CI/CD and containerisation: Terraform, GitHub Actions, Serverless Framework You can code with Python, TypeScript and/ ...