Senior Site Reliability Engineer

Salary
£350 - Per Day
Location
NA, United Kingdom
Type
Contract
Workplace
Remote
Published
Aug 7, 2026
Ref
172862
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Site Reliability Engineer

We're looking for a Site Reliability Engineer to take ownership of our Google Cloud environment and make sure the data platform stays fast, available, and cost-efficient as it scales. 

What You Will Do

1. Kubernetes Orchestration 
Own and manage Google Kubernetes Engine (GKE) clusters, including advanced networking (VPC Service Controls, Shared VPC) and high-availability node configurations to keep production data platforms resilient and always-on.

2. Data Architecture (Lakehouse)
Design and support a unified Data Lakehouse architecture integrating BigQuery and Cloud Storage. Implement governance and security policies to ensure data quality, accessibility, and cost-efficiency across a single source of truth.

3. Infrastructure as Code (IaC)
Use Terraform to automate the lifecycle of GCP resources (Compute Engine, Cloud Run, Cloud SQL), maintaining consistency and reducing configuration drift across Dev, Staging, and Production environments.

4. BI/Data Visualization Support
Deploy, optimize, and scale enterprise visualization tools (Tableau, Qlik Sense, or similar) on GCP, including SSO/IAM authentication and backend connectivity.

5. Hybrid Cloud & Legacy Modernization
Manage AWS resources (EC2, S3) alongside GCP, ensuring interoperability. Lead migration of legacy monolithic systems to microservices-based architectures.

6. Data Engineering Collaboration
Work with Data Engineers to build and maintain pipelines using Cloud Dataflow, Cloud Composer (Airflow), and BigQuery.

7. Reliability, Security & FinOps

  • CI/CD: Design pipelines (GitLab CI/GitHub Actions) with DevSecOps practices
  • Observability: Implement deep monitoring, alerting, and SLIs/SLOs using Google Cloud Operations Suite and Grafana
  • FinOps: Identify and reduce cloud cost waste

Requirements

  • Proven experience managing complex environments in GCP and AWS
  • Strong understanding of Data Lakehouse models and governance
  • Deep knowledge of GKE, including advanced networking and security policies
  • Ability to write modular, scalable, secure Terraform code
  • Experience deploying and tuning enterprise visualization tools (Tableau, Qlik, or Power BI)
  • Strong scripting skills (Python, Bash, or Go) and CI/CD experience
  • Familiarity with Airflow, BigQuery, and Dataflow
  • Solid understanding of encryption, IAM roles, and network security standards

If you think you would be a good fit for this role, I'd love to hear from you.

Apply

Gravitas Recruitment Group
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