readysettechnologyinc

readysettechnologyinc

Staff Software Engineer (Cloud and AI)

Remote US · Staff+

Sponsorship not specified$190k-$240kDetected 287 days ago
PythonJavaGoRustDistributed SystemsBackend DevelopmentSQLPostgreSQLMySQLAWSGCPAzureCloud PlatformsMachine LearningLLMsResearchLeadershipCollaboration

About the role

  • 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.

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.
  • 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.
  • Proven ability to design and run cloud services at scale with high availability (3-4 9s).
  • Demonstrated technical leadership: shaping architecture, influencing design, and guiding teams through complexity.
  • This is an opportunity to help build one of the next foundational companies in AI and data infrastructure, with the resources and runway to match.

Requirements

  • Experience with AI/ML systems or integrating LLMs into production (retrieval pipelines, memory systems, agent frameworks).
  • You may be a good fit if you have…
  • 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.

Nice to have

  • familiarity with modern frontend frameworks a plus.
  • Deep familiarity with AWS (experience with GCP/Azure a plus).
  • Expert backend development experience in Python, Golang, Java, Rust etc.

Skills

  • About Readyset
  • systems that power data-intensive products and bring advanced AI capabilities into production.
  • The challenges we're tackling are the ones that define enterprise-scale
  • Work across the stack, from distributed cloud infrastructure to AI-driven features like retrieval, memory, and agent orchestration.

Compensation

  • The 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.
  • We work on cutting-edge problems in distributed systems and are looking for engineers ready to rise to the challenge as we revolutionize the use of SQL in modern web applications.
  • Healthy Collaboration

Benefits

  • Contribute to Readyset's engineering strategy and vision, not just individual projects
  • Health & Wellness
  • We 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 Leave
  • We 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.

Company info

  • We are now adapting our proven database performance technology to address the next generation of AI infrastructure.

Equal opportunity

  • ReadySet knows that a diverse workforce directly contributes to a higher quality product for our customers.
  • We have put immense effort into fostering an inclusive, diverse work environment from the time of the company's founding.
  • We expect everyone to bring empathy and respect to all of their interactions with coworkers and customers.
  • Encouraging everyone to bring their unique perspectives to the table when solving problems helps us build and deliver stronger products.

This listing is sourced directly from readysettechnologyinc's careers page and normalized into a canonical job model.