Materialize is the live data layer for apps and AI agents. It lets your team use SQL to transform siloed operational data into up-to-the-second views of your business, helping you operate confidently in dynamic environments. Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive microservices and core business processes. Materialize is trusted by General Mills, Bilt Rewards, and Crane Worldwide Logistics to solve their most pressing operational data challenges while building a live data foundation for their AI transformation
Our team spans the US (with a NYC headquarters), Canada, and EMEA.
Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
About the Role
As a member of our Cloud team you will have broad exposure to all of the systems that make Materialize operate. You will build and run our fully managed cloud service, contribute directly to our self-managed offering, and make improvements to our internal operational systems.
We are looking for a versatile, customer-centric engineer who can take charge of some of the hardest problems in our infrastructure. Projects in this space include (but are no means limited to!): developing rock-solid Kubernetes operators, making our continuous deployment pipeline silky smooth, securing and deploying MCP frontends to our database, hardening our billing pipeline, optimizing binpacking, developing our self-managed Helm chart, and expanding our offering into new clouds.
To dive into some recent work by our Cloud team and learn about our architecture, check out The Making of Self-Managed Materialize.
This role will be required to attend ≥ 3 onsites in NYC per year.
Responsibilities
About You
Bonus Points
SALARY RANGE: $164,050 - 250,000 + Equity
The salary range provided in this job description should not be considered a guarantee or commitment. The actual compensation offered may vary based on individual qualifications objectively assessed during the application and interview process, including but not limited to the candidate’s:
Materialize reserves the right to adjust the salary range based on the candidate's specific circumstances and the overall compensation package.
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.
Materialize is a streaming SQL database for real-time applications, live dashboards, and streaming data pipelines. It provides the simplicity of SQL queries, but with millisecond-level latency for real-time data.
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