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# Platform / Site Reliability Engineer (UK)

- **Company:** TWG Global AI
- **Location:** London, UK (Remote available)
- **Experience:** Experienced
- **Salary:** £94,500.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, DevOps, Disaster Recovery, Github, Python (Programming Language), Linux System Administration, Reliability Engineering, Prometheus, Datadog, Data Logging, System Availability, Grafana, Gitlab, Kubernetes, Deployment Automation, Data Management, Machine Learning Operations, Terraform, Automation Anywhere, Docker
- **Published:** June 13, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=5556479bb05092e1

## About the Role

Do you have experience in Terraform?, Do you have a Bachelor's degree?, * 3-6 years of experience in DevOps, SRE, or backend engineering roles

 * Proficient with tools like Docker, Kubernetes, Terraform, GitLab/GitHub Actions, Airflow
 * Strong scripting in Python or Bash and familiarity with Linux environments
 * Knowledge of observability stacks (e.g., Prometheus, Grafana, ELK, Datadog)
 * Familiarity with cloud platforms (e.g., AWS, GCP, or Azure)
 * Strong documentation, problem-solving, and incident response skills

Preferred Qualifications:

 * Experience supporting ML/AI workflows using Palantir Foundry is a plus (but not required)
 * Exposure to compliance frameworks like SOC 2, ISO 27001, or financial regulations
 * Knowledge of MLOps frameworks (e.g., MLflow, Kubeflow, SageMaker Pipelines)
 * Ability to automate deployments, testing, and monitoring at scale

## Description

We are seeking a Platform / Site Reliability Engineer (SRE) to ensure the scalability, stability, and performance of our data platforms and ML infrastructure. You'll work closely with data scientists, ML engineers, and platform vendors to deploy and monitor production systems, automate workflows, and reduce operational overhead.

What you'll do:

 * Build and maintain infrastructure to support real-time and batch ML workloads
 * Implement observability tools (logging, monitoring, alerting) for model performance and system uptime
 * Design and manage CI/CD pipelines applications
 * Ensure high availability, disaster recovery, and rollback capabilities for production environments
 * Manage access controls, secrets, and security policies in collaboration with compliance and IT
 * Troubleshoot incidents, lead postmortems, and drive root-cause resolution
 * Work with U.S. and international teams to provide 24/7 coverage across time zones


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