1 to 25 of 48 Remote/Hybrid Docker Jobs in Central London

Boot , Micronaut , or Ktor Familiarity with cloud platforms (AWS, GCP, Azure) and modern DevOps tooling Experience with CI/CD, automated testing, and containerisation (Docker, Kubernetes) Excellent communication skills with the ability to explain technical concepts clearly Comfortable working in a client-facing consultancy environment Nice to Have Experience with ...

services using Oracle SQL PL . Implement robust CI/CD pipelines and infrastructure using AWS, Azure, SQL Server, Postgres, GitHub, Azure DevOps, Linux, Docker, and Kubernetes . Follow Test Driven Development (TDD) practices - write automated tests before coding. Ensure open working practices with transparent codebases, documentation, design histories ...

Engineer with strong Java/J2EE expertise (Java 8+, Spring, Hibernate) Frontend Angular experience (React may be considered) Cloud experience with microservices (AWS preferred) Docker and Kubernetes hands-on experience Fintech/regulated industry experience preferred Why Join? Java-focused role powering major banking platforms Scale-up energy with enterprise ...

DevOps: Build, deploy, and manage applications using cloud platforms such as AWS and Azure. Use modern DevOps tools and practices-including GitHub, Azure DevOps, Docker, Kubernetes, and Linux-based systems-to deliver scalable, reliable services. Implement and maintain CI/CD pipelines with a strong focus on automation, continuous deployment ...

Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and mitigation tools (BlackDuck, Snyk) We value your ability to adapt over deep ...

Python, or Node.js , and familiar with microservices, APIs, and event-driven architectures. Experienced in cloud and infrastructure-as-code technologies, such as Terraform, Kubernetes, Docker, and AWS services (Lambda, EC2, RDS, etc.). Comfortable working with data-rich systems, integrating APIs, and ensuring platform performance at scale. Implement event-driven ...

agentic workflows. Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications. Experience with feature stores (Feast, AWS Feature Store). Containerisation (Docker) and orchestration (Kubernetes, ECS). Infrastructure as Code (Terraform, CloudFormation). Large-scale data processing frameworks (Spark, Dask). Familiarity with data governance and compliance frameworks. Experience ...

need at least 5-6 years’ experience, encompassing the following: Hands-On Cloud experience with AWS and AWS Services Expert knowledge of Containerisation with Docker and Kubernetes Strong Infrastructure as Code experience with Terraform History of CI/CD experience, specifically with GitHub Actions Strong Monitoring experience with DataDog Recent ...

self-manage and proactively identify improvement areas Desirable experience: Non-functional testing (Accessibility, Performance, Security) CI/CD tooling (GitHub Actions, GitLab CI, Jenkins) Docker for testing environments Maven for test execution Accessibility standards and test automation best practices Familiarity with the (url removed) Design System Experience applying structured evaluation ...

product and business goals. Required Skills & Qualifications: 8+ years of experience in DevOps, SRE, or Infrastructure Engineering roles. Strong hands-on experience with AWS, Docker, Kubernetes, and Terraform. Proficiency in CI/CD pipelines and Linux systems administration. Deep understanding of high-availability architecture, networking, load balancing, and distributed systems. ...

latency data processing. You obsess over milliseconds and understand the trade-offs. ? Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). ? Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). ? Knowledge of (or deep, demonstrable curiosity about) telecommunications ...

Golang Deep understanding of distributed systems , data-intensive applications , and microservices architectures Experience with cloud environments (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker) Solid background in API design , data streaming , and event-driven architectures (Kafka, NATS, RabbitMQ) Proven leadership in technical design and mentoring Strong collaboration and communication ...

derivatives. Solid understanding of Greeks, risk measures, and valuation impacts in front-office contexts. Exposure to cloud compute or CI/CD tooling (AWS, Docker/Kubernetes, Git/Jenkins). Experience supporting pricing models in live production environments is highly desirable. This role offers the opportunity to influence mission ...

Looking For: Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge of LLMOps and GenAI tools (LangChain, LangSmith) Understanding of feature engineering and vector databases Strong grasp of CI/ ...

Required Skills and Experience Strong programming skills in Python; experience with ML libraries such as Snowpark, PySpark, or PyTorch Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI) Experience with CI/ ...

Strong proficiency in Azure DevOps tools and practices. Expertise in IaC, networking, and security within cloud environments. Hands-on experience with containerisation technologies (e.g., Docker, Kubernetes). Excellent problem-solving and communication skills. Contract Details Duration: 6 months Rate: £450/day (Outside IR35) Location: Fully remote (UK-based only ...

Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals ...

experience working in small, high-ownership teams. Tech stack & environment Python-first backend development. Cloud-native infrastructure (AWS preferred). Containerisation and orchestration (Docker, Kubernetes). Message queues and streaming systems (e.g. Kafka, SQS, RabbitMQ). Relational and/or NoSQL databases. CI/CD pipelines, observability, monitoring, and logging ...

doing Supporting and improving Azure infrastructure Running Kubernetes/AKS environments Building and maintaining CI/CD pipelines in GitHub Working with Docker and container images Managing infrastructure with Terraform Improving observability (distributed tracing, OpenTelemetry) Looking after MongoDB/Atlas from a security and housekeeping perspective What they’re looking ...

relational databases (ideally MongoDB) Have experience with Kafka or similar message brokers Have had exposure to CI/CD environments, utilising containers with Docker and orchestrating microservices with tools like Kubernetes Have a good understanding of software engineering best practices (standardised practices, version control, testing, code review, etc. ...

preparations, collaborating with Data/AI Engineers on full lifecycle deployments Build & deploy scalable solutions: create data pipelines (ETL/Airflow), MLOps (Docker/AWS/Azure/GCP), and interactive dashboards (Tableau/Power BI) Drive client impact – from EDA and model validation to ethics-compliant AI strategies across ...

happy to work with the following tech stack (you don't need experience with all): Elixir, Ember, Elm, Phoenix, LiveView, Python, PostgreSQL, AWS, Docker You have an analytical mindset and enjoy problem solving You have experience of working in start-ups/SMEs and have good business acumen Ideally ...

have recently graduated from university and have a basic understanding of any of the following technologies: Python, JavaScript, PHP, React, React Native, Django, Postgres, Docker and Agile; which might have been acquired as part of your degree course or through a placement year in industry. All Graduate/Junior Developer ...

clearance; sponsorship cannot be provided. Desirable: Knowledge of AWS services (e.g., Lambda, ECS, Bedrock, S3, SageMaker). Experience with ML engineering and MLOps (e.g., Docker, MLflow). Experience in regulated industries or government-related projects. Applying LLMs or advanced AI methods to real-world problems. Benefits: Competitive salary ...

large-scale ML systems in production . Strong experience with GCP Vertex AI (or equivalent cloud ML platforms). Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git. Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have Experience with agentic design patterns (e.g. ReAct ...