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Job Description
At Webflow, we’re building the world’s leading AI-native Digital Experience Platform, and we’re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we’re here to build it together.
We’re looking for a Senior Staff Engineer, Online Datastores to help us build and operate the next generation of reliable, high-performance datastores at Webflow - starting with Apache Druid and expanding to systems like MongoDB and Postgres - by setting standards for availability, scalability, and real-time analytics at global scale.
About the role:
- Location: Remote-first (United States; BC & ON, Canada)
- Full-time
- Permanent
- Exempt
- The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.
- United States (all figures cited below are in USD and pertain to workers in the United States)
- Zone A: $200,200 - $288,500
- Zone B: $188,400 - $271,600
- Zone C: $176,500 - $254,300
- Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
- CAD 199,300 - CAD 281,100
- United States (all figures cited below are in USD and pertain to workers in the United States)
This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.
Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position
- Reporting to the Senior Director, Engineering,
As a Senior Staff Engineer, Online Datastores, you’ll …
- Ensure high reliability, uptime, and query performance for Apache Druid clusters on EC2.
- Lead monitoring, alerting, troubleshooting, and incident response using observability tools such as DataDog and CloudWatch.
- Manage data lifecycle: tiering strategies (hot, warm, default), retention policies, deep storage (S3), local SSD caches, and Aurora MySQL metadata store.
- Operate and tune Zookeeper clusters while ensuring overall cluster stability, coordination, and service discovery.
- Optimize performance and cost efficiency by right-sizing clusters, scaling instances, and balancing ingestion throughput with query workloads.
- Define and drive standards for online datastore operations, including multi-region deployments, failover strategies, SLA/SLOs, and best practices for real-time analytics workloads.
- Provide technical leadership and mentorship, collaborating with data and product teams to define governance, reliability practices, and long-term strategy across datastores (starting with Druid, and over time MongoDB and Postgres).
About you:
Requirements:
- Hands-on experience setting up and managing Apache Druid clusters (Broker, Router, Coordinator/Overlord, Historical, Middle Manager) including upgrades, troubleshooting and tuning.
- Deep knowledge of Druid operations: indexing, segment management, data partitioning, tiered storage, and query optimization and cluster right-sizing for performance/cost tradeoffs.
- Proficiency in Java
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