Job Description

Be Part of Building the Future

Dremio is the unified lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, Amazon, Regeneron, NetApp, and S&P Global. Customers rely on Dremio for cloud, hybrid, and on-prem lakehouses to power their data mesh, data warehouse migration, data virtualization, and unified data access use cases. Based on open source technologies, including Apache Iceberg and Apache Arrow, Dremio provides an open lakehouse architecture enabling the fastest time to insight and platform flexibility at a fraction of the cost.  Learn more at www.dremio.com.

About the role

In this role you will be responsible for delivering Dremio Lakehouse SaaS offering in multiple public clouds (AWS, Azure and GCP). Dremio’s Cloud Platform Engineers ensure that our microservices that power the Dremio Query Engines in various clouds are scalable and reliable. You will tackle some of the complex distributed systems challenges in building scalable and resilient control plane services, query life cycle management, query telemetry, workload isolation and management, improving overall system performance and reducing latencies, and ensuring that the service can be operationalized effectively. This is an opportunity to join a growth stage startup and help build a highly scalable cloud service.

What you'll be doing

• Build critical Cloud Control Plane and Platform Backend software for Dremio Cloud deployed as SaaS in AWS, Azure, and GCP cloud environments.
• Design, develop and support various software functions in multiple areas of core cloud platform, query life cycle management, query telemetry, workload isolation and management
• Solve unique, large-scale, highly complex cloud infrastructure problems
• Analyze and understand scalability and performance in the system and solve them
• Take ownership of product development and drive a vision for turning our product into a competitive advantage.
• Spec, Design, code, code review and test various product features independently
• Analyze and advocate for better technologies and approaches in cloud microservices and distributed systems development

What we're looking for

• 10+ years cloud native development experience with either AWS, GCP or Azure
• Strong hands-on Java experience developing production-level software
• Hands Experience with microservices development using Container technologies(Docker etc) and familiarity with Container Orchestration Platforms like Kubernetes
• Experience designing, building and operating large-scale scalable, multi-tenant, high performance distributed systems or web services
• Background in data processing, data warehouse, datalake, BI or analytics
• Understanding of distributed file systems such as S3 ADLS, or HDFS
• Effective communication skills to articulate, document and present solution plans to engineering, product management  and other functions of the organization
• Ability to mentor team members for high quality and design

Bonus points if you have

• Hands-on dev experience in SaaS deployment models on one or more of AWS, GCP, Azure and other cloud platform
• Data warehouse design, database systems, and large-scale data processing solutions like Hadoop and Spark