City of London, London, England, United Kingdom Hybrid / WFH Options
MFK Recruitment
or similar, Docker) Understanding of networking and experience troubleshooting integrated infrastructures in the cloud (AWS, Azure, GCP) Experience building and owning continuous integration, testing, and deployment workflows (GitHub Actions, GitLab CI/CD, Jenkins, or similar) Experience monitoring infrastructure and applications for health and performance Experience building or maintaining data processing workflows using queues and event-driven triggers (Argo) Strong More ❯
in automation development and scripting languages: Python, PowerShell, Bash, Go, and Git workflows that drive efficiency. Battle-tested experience with continuous integration/deployment pipelines and IaC integration across GitLab CI, Jenkins, or Azure DevOps platforms. Comprehensive mastery of network architecture principles, storage systems management, and system performance optimisation that delivers results. Razor-sharp analytical abilities and troubleshooting superpowers with More ❯
in automation development and scripting languages: Python, PowerShell, Bash, Go, and Git workflows that drive efficiency. Battle-tested experience with continuous integration/deployment pipelines and IaC integration across GitLab CI, Jenkins, or Azure DevOps platforms. Comprehensive mastery of network architecture principles, storage systems management, and system performance optimisation that delivers results. Razor-sharp analytical abilities and troubleshooting superpowers with More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Searchability NS&D
Skills: Strong experience with AWS MSK (Kafka) and secure multi-account AWS environments Proven production experience with Kubernetes, Docker, Helm Proficient in Terraform, CI/CD Pipelines (Drone/GitLab) Excellent understanding of Kafka internals, stream processing, and secure Kafka deployments Strong experience across monitoring (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile More ❯
feature engineering techniques. Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search . Adept with software development methodologies, code versioning (e.g., GitLab ), and project tracking tools (e.g., JIRA ). Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. Additional knowledge in Cloud Computing, Big Data tools More ❯
Patterns and Architecture Demonstrable experience in build/run/deploy within a containerized environment & sidecar concepts Cloud API Gateway experience with either APIGee, Endpoints, or Mulesoft, Kubernetes, GitHub, GitLab, DevOps Pipeline (e.g., Terraform, CLI, Ansible, Puppet, etc.), Container Registry, Docker Experience with Google Cloud Services Additional knowledge requirements: E-Commerce Call center care systems - e.g., IVR integrations, Agent desktop More ❯
Dask, Pandas, Numpy. building web-based GUI’s using Python frameworks such as Dash building Python based REST servers using frameworks such as Fast API writing Docker files, configuring Gitlab CICD pipelines, deploying to Kubernetes designing and optimising SQL Data bases such as MSSQL or Postgres Experience of working in a financial institution on trading/risk or middle office More ❯
to coach, mentor, and upskill staff; develop career paths and ensure team resilience. Experience undertaking root cause analysis including prevention orientated solution reporting. Working experience with deployment tools (e.g. GitLab pipelines) and rollback strategies. Proficiency in managing bare-metal servers, virtualization platforms such as VMware, containerised systems as well as familiarity with hybrid cloud environments and DevOPS practices. Familiarity with More ❯
City of London, London, United Kingdom Hybrid / WFH Options
REC SOLUTIONS LIMITED
to coach, mentor, and upskill staff; develop career paths and ensure team resilience. Experience undertaking root cause analysis including prevention orientated solution reporting. Working experience with deployment tools (e.g. GitLab pipelines) and rollback strategies. Proficiency in managing bare-metal servers, virtualization platforms such as VMware, containerised systems as well as familiarity with hybrid cloud environments and DevOPS practices. Familiarity with More ❯
City of London, London, United Kingdom Hybrid / WFH Options
REC SOLUTIONS LIMITED
to coach, mentor, and upskill staff; develop career paths and ensure team resilience. Experience undertaking root cause analysis including prevention orientated solution reporting. Working experience with deployment tools (e.g. GitLab pipelines) and rollback strategies. Proficiency in managing bare-metal servers, virtualization platforms such as VMware, containerised systems as well as familiarity with hybrid cloud environments and DevOPS practices. Familiarity with More ❯
models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Medialab Group
pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to CI/CD pipelines (GitLab CI preferred). Experience with advertising or media data is a plus. More ❯
existing code, and rapidly ship features. Strong understanding of APIs, concurrency, and infrastructure automation. Desirable Skills Familiarity with OpenStack Ironic SDK and provisioning workflows. Exposure to Terraform, Vault, Ansible, GitLab CI/CD pipelines. Experience with Temporal (or Cadence) for workflow orchestration. You will be joining a fast-paced engineering project and are expected to contribute from day one. We More ❯
Engineer. Wide variety of technology and cloud providers, including (but not limited to): AWS for most of their own internal projects Kubernetes, Helm and Docker for deployment of services GitLab for source control GitLab-CI for CICD pipeline Bash and Python for pipeline scripts Terraform and Ansible for infrastructure as code Postgres (including RDS and Aurora) for most databases Responsibilities … include: Day to day management of cloud infrastructure supporting our various projects, primarily on AWS Deployment of new cloud infrastructure using Terraform and Terragrunt. Development of CICD pipelines (Gitlab CI) for deployment of our microservices to Kubernetes (EKS) clusters using Istio, Docker, Helm, Python and Bash scripting. Supporting developers and other engineers with any pipeline issues. General management and operations … of GitLab source control system. Monitoring and management of our Datadog instance, including log management and APM More ❯
