Device Management • Endpoint Management • Patch Management • Policy Management • Automated Patch Management
201 - 500
💰 $110M Series C on 2021-04
October 26
Amazon Redshift
Apache
AWS
Cassandra
Cloud
Distributed Systems
DynamoDB
Java
Kafka
Kubernetes
Postgres
Prometheus
Python
Redis
Go
Device Management • Endpoint Management • Patch Management • Policy Management • Automated Patch Management
201 - 500
💰 $110M Series C on 2021-04
• Own our next-generation data architecture's technical vision and implementation. • Work directly with engineering teams to design and implement scalable solutions to handle millions of concurrent events while maintaining sub-second latency. • Lead the architectural design and implementation of our new data platform, focusing on scalability, reliability, and performance. • Design and implement real-time data processing pipelines capable of scaling to millions of events per second. • Architect solutions using AWS services such as Kinesis, DynamoDB, RedShift, and EMR. • Create data modeling standards and best practices for the engineering organization. • Collaborate with engineering teams to implement new data architecture patterns. • Develop migration strategies to transition from current architecture to new solutions. • Mentor engineers on data modeling and architectural best practices. • Partner with product management to align technical architecture with business goals.
• 8+ years of experience in data architecture, with at least 3 years focused on high-throughput distributed systems • Proven experience designing and implementing systems processing 1M+ events per second • Deep expertise with AWS data services (Kinesis, DynamoDB, RedShift, S3, EMR) • Strong background in data modeling for both operational and analytical workloads • Experience with real-time stream processing frameworks (Apache Kafka, Amazon Kinesis) • Track record of successfully re-architecting large-scale production systems • Expertise in distributed systems patterns and eventual consistency models • Experience with IT Operations or observability platforms • Knowledge of time-series databases (Prometheus, InfluxDB, Timestream) • Background in implementing data mesh or data lake architectures • Experience with Apache Cassandra or other distributed databases • Familiarity with OpenTelemetry and similar observability standards • Track record of technical leadership in a high-growth environment
• Competitive Salary • Equity for Full-Time Employees • 401K Match • Flexible PTO, generous sick time policy • $20 a month to connect virtually with colleagues • Comprehensive Health Plans with generous employer contributions • 100% Company-paid Short Term/Long Term Disability and Life Insurance • Company HSA Contribution: $100-$150-$200 per month based on tier • Gender Affirmation Coverage • $50 per month Lifestyle Spending Account • Internet Reimbursement - $50/month • $750 Home office stipend • $10k Adoption Benefit • Comprehensive Family Planning Coverage
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