Database Engineer; MongoDB, Postgres

Viridien / CGG

Crawley

Viridien / CGG is recruiting for the role of Database Engineer (MongoDB, Postgres). Database Engineer needed to design, maintain and optimise database platforms for production systems and high-performance computing workloads. The role centres on MongoDB and relational databases, with close work across software and infrastructure teams to improve performance and reliability.

• Location:
  
  Crawley
• Working pattern:
  Hybrid
• Job type:
  Full time

• Manage, maintain and support MongoDB and relational database environments.
• Install, configure and administer MongoDB sharded clusters and replica sets.
• Support PostgreSQL day-to-day administration, backup and recovery.
• Monitor database health, performance and availability using the named tools.
• Analyse and optimise database performance, queries and configurations.
• Implement backup, restore, Point-in-Time Recovery and High Availability solutions.
• Work with development teams to improve database design and application performance.
• Support testing, validation and quality assurance activities for database changes.

• Hold a bachelor's degree in Computer Science or a related discipline, or equivalent practical experience.
• Have proven production experience administering MongoDB, including sharded clusters and replica sets.
• Have experience supporting PostgreSQL or other enterprise relational databases.
• Have experience with MongoDB Ops Manager and monitoring tools such as Prometheus and Grafana.
• Understand database backup, recovery, PITR and High Availability strategies.
• Have experience troubleshooting and optimising database performance.
• Have strong analytical and problem-solving skills.
• Be able to work effectively in production-critical environments.

• The team supports Viridien's global software and HPC environments.
• Preferred experience includes database automation with Bash, Python or Golang.
• Familiarity with Linux, Docker, Kubernetes, Git Lab or Dev Ops practices is preferred.
• Knowledge of data modelling, schema design and database optimisation techniques is preferred.