• They are seeking a Senior Staff Engineer, Online Datastores to build and operate high-performance datastores, ensuring reliability and scalability while providing technical leadership and mentorship
• 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)

• Proficiency in Java (JDK 8+) and Linux/Unix systems, and scripting/automation (Bash, Python) for deployments, maintenance and performance tuning
• Solid understanding of distributed systems concepts such as replication, failover, consensus protocols (Zookeeper), and multi-region deployment strategies
• Familiarity with the broader data ecosystem: streaming ingestion (Kafka/MSK, Flink CDC), cloud storage (S3) and related data infrastructure
• Experience establishing and operating to SLAs/SLOs, and defining standards and best practices for real-time analytics workloads
• Knowledge of security and governance practices including authentication, role-based access, encryption, and audit logging

Business-level fluency to read, write and speak in English

• 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
• Experience with observability and incident management: metrics collection, dashboards, and alerting (Datadog, Prometheus, Grafana, Cloudwatch or equivalent)

Demonstrated technical leadership: mentoring engineers, driving architecture discussions, and collaborating with data, infra, and product teams

• Ownership in what you help build
• Every permanent Webflower receives equity (RSUs) in our growing, privately held company
• Health coverage that actually covers you
• Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums
• Support for every stage of family life
• 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents
• Plus inclusive care for family planning, menopause, and midlife transitions
• Time off that’s actually off
• Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired
• Wellness for the whole you
• Access to mental health resources, therapy and coaching
• Invest in your future
• A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally
• Monthly stipends that flex with your life
• Localized support for work and wellness expenses — from Wi-Fi to workouts
• Bonus for building together

All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program