Senior Software Engineer, Dremio

• B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience
• 6+ years of experience developing production-level software
• Fluency in Java/C++
• Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models, and their use in developing distributed and scalable systems
• Experience building high performance software and good understanding of how modern CPU pipelined architectures work and their applications towards software development
• Experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully
• Passion for learning and solving complex and unexplored problems effectively
• Hands-on experience with AWS, Azure, or Google Cloud Platform
• Strong knowledge of database fundamentals, SQL, and schema design is a big plus

Desirable

• In this role, you will be responsible for delivering core platform capabilities for both Dremio Cloud and Dremio Software
• You will work on deployment and provisioning systems – developing Kubernetes-native capabilities, integrating with cloud providers, and building services that power usage, billing, licensing, and entitlement systems that underpin both Dremio Cloud and Software
• Additionally, you will work on integrating a variety of cloud and payment platforms/providers, solving multi-cloud and multi-regional architectural challenges, and design/implement solutions for these complex issues
• You will grow as a leader through collaborating with and learning from seasoned engineers and taking ownership of complex challenges to deliver high quality distributed systems at a massive scale
• Own design, implementation, testing, and support of next-generation features related to scalability, reliability, robustness, performance, usability and security of the product
• Understand and reason about concurrency and parallelization to deliver scalability and performance in a multithreaded and distributed environment
• Work on distributed systems for data processing with efficient protocols and communication, locking and consensus, schedulers, resource management, autoscaling, and self-healing
• Use modular design patterns to deliver an architecture that’s elegant, simple, extensible and maintainable
• Solve complex technical problems and customer issues
• Design and deliver architectures that run optimally on public clouds like GCP, AWS, and Azure

• Medical, dental and vision insurance
• 401(k) Plan
• Short term / long term disability and life insurance
• Pre-IPO stock options
• Flexible PTO
• 16 hours of volunteer time off
• 12 company paid holidays, including Juneteenth
• Hybrid workplace
• Monthly “Get Stuff Done” (GSD) Days
• Paid parental leave
• Employee Assistance Program (EAP)
• Quarterly swag surprise

Total funding: $410m

Data lakehouse platform Dremio bridges the gap between data warehouses and data lakes to help data engineers, analysts and scientists streamline, curate, and run queries on raw, purpose non-specific data, allowing them to quickly build analytics stacks. The self-service platform enables users to create datasets from a multitude of sources and can be deployed on Kubernetes clusters, AWS, and Azure.