MongoDB Database Engineer

Job Details

Viridien is seeking a Database Engineer to design, maintain, and optimise database platforms that support global production systems and high‑performance computing workloads. This role focuses on managing MongoDB and relational database environments, ensuring they remain secure, scalable, and highly available. The candidate will work closely with software and infrastructure teams to improve database performance, support business‑critical applications, and drive continuous improvements across the data platform.

• Database Administration – Manage, maintain, and support MongoDB and relational database environments; install, configure, and administer MongoDB sharded clusters and replica sets; support PostgreSQL environments, including day‑to‑day administration, backup, and recovery.
• Performance & Optimisation – Monitor database health, performance, and availability using tools such as Prometheus, Grafana, and MongoDB Ops Manager; analyze and optimise database performance, queries, and configurations; develop strategies to support data growth, scalability, and high‑traffic workloads.
• Backup, Recovery & Reliability – Implement backup, restore, Point‑in‑Time Recovery (PITR), and High Availability (HA) solutions; troubleshoot database issues and ensure the reliability of production systems; support business continuity through robust operational practices.
• Collaboration & Continuous Improvement – Work with development teams to improve database design and application performance; support testing, validation, and quality assurance activities for database changes; contribute to automation, operational improvements, and database best practices.

• Bachelor's degree in Computer Science or a related discipline, or equivalent practical experience.
• Proven experience administering MongoDB in production environments, including sharded clusters and replica sets.
• Experience supporting PostgreSQL or other enterprise relational databases.
• Experience with MongoDB Ops Manager and monitoring tools such as Prometheus and Grafana.
• Strong knowledge of database backup, recovery, PITR, and High Availability strategies.
• Experience troubleshooting and optimising database performance.
• Strong analytical and problem‑solving skills.
• Ability to work effectively in production‑critical environments.

• Experience supporting globally distributed or high‑availability database platforms.
• Experience with database automation using Bash, Python, or Golang.
• Familiarity with Linux, Docker, Kubernetes, Git Lab, or Dev Ops practices.
• Knowledge of data modelling, schema design, and database optimisation techniques.
• Experience supporting databases for microservices or distributed applications.
• Familiarity with ANSI SQL and relational database concepts.
• Experience contributing to quality assurance and testing of database platforms.

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