As a Data Reliability Engineer II, you will play a crucial, hands-on role in ensuring our critical database systems are reliable, fast, and scalable within a modern GCP data ecosystem
Job Summary
As a Data Reliability Engineer II, you will play a crucial, hands-on role in ensuring our critical database systems are reliable, fast, and scalable within a modern GCP data ecosystem.
The role involves proactive incident management, performance tuning, automation of data operations, and supporting resilience and security strategies including backup and disaster recovery.
CM Group offers a comprehensive benefits package including bonus and equity programmes, private medical coverage, mental health support, pension plans, and ongoing employee development opportunities.
Matching Summary
As a Data Reliability Engineer II, you will play a crucial, hands-on role in ensuring our critical database systems are reliable, fast, and scalable within a modern GCP data ecosystem.
Skills & Requirements
Must-have
Database system health monitoring
Proactive incident management
GCP cloud-based data platforms
Infrastructure as Code (IaC)
CI/CD pipeline management
Performance tuning and optimization
Scripting for automation
Nice-to-have
Containerization with Docker and Kubernetes
Change Data Capture (CDC) tools
Site Reliability Engineering (SRE) practices
Zero-downtime deployment strategies
Cloud-first mindset
Collaboration with development teams
Key Requirements
2–3 years database administration experience
Bachelor's or Master's degree in related field or equivalent experience
Experience with relational and NoSQL databases
Familiarity with scripting languages like Python or Bash
Knowledge of Terraform or Kubernetes Config Connector
Understanding of Site Reliability Engineering (SRE)
Google Associate Cloud Engineer certification or studying for GCP Professional Database Engineer