Database Reliability Engineer (MongoDB)

What We re Looking For:
We re seeking a skilled engineer with expertise in managing and optimizing MongoDB clusters. Your responsibilities will focus on designing scalable, reliable database systems and ensuring their seamless operation. Key qualifications include:

• MongoDB Expertise:

• Strong understanding of database operations, including sharding, replication, and PB-scale management.

• Experience with upgrades, backup and recovery mechanisms, and disaster recovery planning.

• Knowledge of performance tuning and optimizing database queries.

• Scalability and High Availability:

• Proficiency in designing MongoDB deployments to ensure scalability and fault tolerance.

• Experience with handling distributed systems and multi-region setups.

• Kubernetes Knowledge:

• Hands-on experience deploying and managing MongoDB on Kubernetes (K8s).

• Familiarity with stateful workloads and persistent storage configurations.

• Coding and Automation:

• Strong scripting or programming skills to automate database operations and infrastructure provisioning.

• Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible).

• Cloud Expertise:

• Experience working with AWS cloud platform and their database-related services.

• Collaboration and Communication:

• Ability to collaborate with teams to design efficient database architectures and educate others on best practices.

• Strong problem-solving skills and a focus on continuous improvement.

What You ll Be Learning and Doing:

• Scaling MongoDB: Work on PB-scale database challenges, from sharding and replication to disaster recovery and performance optimization.

• Automating Operations: Develop and implement scripts and tools to automate common MongoDB tasks.

• Cloud-Native Systems: Deploy and manage MongoDB clusters on Kubernetes and cloud platforms.

• Educating Teams: Share best practices and solutions with customers and internal teams to improve database operations.

• Open Source Contributions: Build tools or contribute to projects that address common database challenges.