About this roleWe're looking for a Staff Software Engineer to help build the next generation of AI-native cloud infrastructure: systems that power data-intensive products and bring advanced AI capabilities into production. Our Cloud and AI team moves fast and delivers what others call impossible, shipping ambitious systems at breakneck speed while maintaining engineering rigor.
The challenges we're tackling are the ones that define enterprise-scale AI systems:
- Freshness: ensuring data is always current, since stale results immediately erode user trust.
- Memory: designing structured, retrievable memory so agents can behave reliably over time, not just like short-lived chatbots.
- Cost: keeping re-embedding, reranker passes, and LLM calls sustainable through batching, caching, and smart model routing.
We believe solving these challenges is key to making AI systems production-grade: responsive, reliable, and affordable at scale. As a Staff Engineer, you'll play a central role in designing and operating the infrastructure that makes this possible.
Responsibilities- Design and own critical services: hands-on development of systems that are robust, scalable, and simple to operate in production.
- Lead high-impact architectural decisions, balancing speed with sound engineering for 3-4 9s availability.
- Work across the stack, from distributed cloud infrastructure to AI-driven features like retrieval, memory, and agent orchestration.
- Collaborate with leadership and product teams to translate ambitious ideas into reality, fast.
- Act as a technical leader: mentor engineers, drive engineering culture, and shape the way we build as we scale.
- Contribute to Readyset's engineering strategy and vision, not just individual projects
You may be a good fit if you have...- 10+ years of software engineering experience, ideally with exposure to databases, data platforms, or large-scale systems.
- Proven ability to design and run cloud services at scale with high availability (3-4 9s).
- Experience with AI/ML systems or integrating LLMs into production (retrieval pipelines, memory systems, agent frameworks).
- Expert backend development experience in Python, Golang, Java, Rust etc.; familiarity with modern frontend frameworks a plus.
- Deep familiarity with AWS (experience with GCP/Azure a plus).
- Demonstrated technical leadership: shaping architecture, influencing design, and guiding teams through complexity.
- A mindset for velocity with rigor: moving fast without compromising sound engineering
CompensationThe salary range for this role is $190,000-240,000 USD per year. This salary range may include multiple levels. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail.
In addition to salary, you'll receive meaningful equity, giving you real ownership in the company's growth and success.
Health & WellnessWe offer top-tier medical, dental, and vision coverage. Our plans are designed with flexibility in mind, so you can choose the coverage that best fits your needs.
PTO & Parental LeaveWe offer unlimited PTO with minimum vacation recommendations and encourage our team members to take time off whenever they need it. We also offer 90 days of paid parental leave.
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