Senior Site Reliability Engineer

Gravitas Recruitment Group Ltd
Kilsby, United Kingdom
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 78K

Job location

Kilsby, United Kingdom

Tech stack

Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Bash
Google BigQuery
Cloud Computing
Cloud Storage
Continuous Integration
Data Architecture
Information Engineering
Data Visualization
Data Flow Control
Github
Identity and Access Management
Interoperability
Python
Network Security
Operational Databases
Reliability Engineering
Power BI
Tableau
Alwayson
Qliksense
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Grafana
HybridCloud
Infrastructure as Code (IaC)
Amazon Web Services (AWS)
Gitlab-ci
Kubernetes
QlikView
Data Lakehouse
Terraform
Devsecops
Microservices

Requirements

  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 life cycle 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 Back End 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

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