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SingleStore

Software Engineer | Aura Platform

United StatesmidAdded today

About this role

Senior Software Engineer role focused on designing and operating the distributed platform infrastructure for SingleStore's AI applications. You'll manage container orchestration, resource scaling, billing, observability, and multi-region/cloud deployments while mentoring engineers and driving production reliability at scale.

What you'll do

  • Design, build, and maintain platform services for notebooks, jobs, apps, AI agents, and model serving on SingleStore
  • Lead cross-functional technical initiatives from conception through deployment with mentorship of other engineers
  • Collaborate with product, design, customers, and engineering teams to deliver high-quality experiences
  • Establish engineering standards and best practices for system design, testing, observability, and CI/CD pipelines
  • Share on-call responsibilities and drive improvements in cloud infrastructure reliability, security, and cost efficiency
  • Manage services for container pools, resource scaling, routing, RBAC, billing, and secure cluster networking

What they're looking for

  • Distributed systems design and implementation
  • Kubernetes and containerized services
  • Golang, Python, or Rust programming
  • Cloud infrastructure (AWS, Azure, or GCP)
  • Production system ownership and on-call support
  • Technical mentorship and team leadership
  • CI/CD pipeline design and automation
  • System observability and monitoring
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SingleStore

SingleStore builds a cloud database platform that powers enterprise data solutions at scale. The company is hiring support engineers, site reliability engineers, and forward-deployed engineers to deliver technical support, optimize cloud infrastructure, and architect customer solutions.

Website
singlestore.com
View all jobs at SingleStore

Likely interview questions

  • Describe a distributed system you've built or operated at scale—what were the key challenges and how did you address reliability?
  • Tell us about your experience with Kubernetes in production. How have you handled resource scaling and multi-region deployments?
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