Sr. Software Engineer, Cloud Infrastructure Development
Who We Are:
Materialize is the streaming SQL database company that makes it easy for any developer or analyst to understand streaming data, answer complex questions and build intelligent applications using standard technology. Whether it's delivering personalized experiences, accurately identifying fraud, building predictive AI, or discovering new business opportunities, the ability to run complex queries on multiple streams of data and keep their answers up to date is critical to making better decisions about the changing world around us.
We are focused on bottom-up developer adoption, our core software is free to use and source available, our business model is a cloud product that handles management of Materialize and lets businesses focus on building value. We have a vibrant developer community on Slack and as much as possible we work in public on GitHub.
The Materialize team includes engineers who were early employees of Cockroach Labs, Ververica, and Stripe. Our work builds on top of Timely Dataflow and Differential Dataflow, both created by our co-founder Frank McSherry, a world-leading computer scientist with decades of award-winning research in all aspects of data.
Investors:
Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
About the Role:
Responsibilities:
- Be a core part of the team that develops the first version of the Materialize cloud service and successive versions
- Design, build and maintain the production serving infrastructure
- Develop custom tools, such as those used for automatically scaling deployments for customers and automatic rolling upgrades
- Drive high availability and low latency through a partnership with database engineers
- Work with engineering leaders to develop scalable, operationally-focused, customer-facing cloud services.
- Maintain both development and production infrastructure as part of a customer-focused engineering culture.
About You:
- Professional experience analyzing, monitoring, and troubleshooting large-scale, high-traffic distributed systems
- Expertise with deploying, optimizing, and debugging Linux installations
- Expertise working with AWS
- Experience with one or more of the following languages: Go, C, C++, Python, Java
- Experience debugging and optimizing complex production systems
- Experience with container orchestration technologies, such as Kubernetes, Docker Swarm, ECS"
Bonus Points:
- B.S./M.S./Ph.D in a scientific field, or equivalent experience
- Experience with Azure and/or Google Cloud Platform
- Experience with production SQL databases
- Experience with Pulumi
- Experience with Rust
We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.
By
Materialize
The Cloud Database for Fast-Changing Data. We put a streaming engine in a database, so your team can build real-time data products without the cost, complexity, and development time of stream processing.
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