At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

WHAT YOU’LL DO

The MongoDB Database Administrator (DBA) role is part of the Platform Engineering division within Infrastructure and is responsible for operating, scaling, and securing our internal MongoDB platform. This position supports a growing fleet of MongoDB clusters that back product-critical features, internal systems, and distributed services.

This role partners closely with SREs, application engineers, and the platform security team to ensure MongoDB clusters are performant, resilient, compliant, and well-automated. Our clusters run on a modern Kubernetes-based infrastructure and are managed through GitOps and infrastructure-as-code practices. The DBA will help evolve and mature the platform, support backup and disaster recovery strategies, and assist engineers in designing efficient, durable MongoDB usage.

Cluster Operations & Reliability

Operate production MongoDB clusters running in Kubernetes across multiple regions and clouds
Monitor cluster health, performance, replication, and storage usage, and proactively address degradation
Debug and resolve availability, latency, or data consistency issues in partnership with SREs
Participate in on-call rotations as a subject matter expert for MongoDB infrastructure

Automation & Tooling

Automate routine operations such as database user management, cluster scaling, version upgrades, and backup restores
Maintain and improve internal tooling used for MongoDB observability, lifecycle management, and access control
Collaborate with Platform Engineering on Kubernetes-based deployment patterns and GitOps workflows

Backup, Restore & Disaster Recovery

Implement and maintain point-in-time recovery, daily snapshots, and cross-region backup strategies
Regularly validate restores and participate in resilience exercises and disaster recovery planning
Partner with Security and Compliance teams to ensure backups meet RTO/RPO targets and audit requirements

Engineering Support & Best Practices

Assist product engineering teams with schema design, indexing strategies, and performance tuning
Promote internal best practices for efficient queries, data modeling, and shard key design
Document operational runbooks, configuration standards, and performance baselines

WHO YOU ARE

Experience

3–5+ years of experience managing MongoDB in production environments at scale
Strong working knowledge of replica sets, sharding, WiredTiger storage engine, oplogs, and journaling
Experience operating MongoDB in cloud or containerized environments (Kubernetes preferred)

Skills

Comfortable with automation and scripting in languages like Bash, Python, or Go
Proficient with MongoDB CLI tools, Atlas APIs, and backup/restore tooling (e.g., mongodump, mongorestore, mongosh, Ops Manager)
Familiar with observability stacks (e.g., Datadog, Prometheus, Grafana) and alerting strategies
Experience with GitOps workflows and infrastructure-as-code tools (Terraform, Helm, ArgoCD) is a plus

Mindset

Detail-oriented and reliability-focused; treats data loss and downtime as unacceptable