Senior Search Infrastructure Engineer

Training and deploying frontier models for developers and enterprises building AI systems for content generation, semantic search, RAG, and agents.
$150,000 - $250,000
Backend
Senior Software Engineer
Hybrid
101 - 500 Employees
5+ years of experience
AI

Description For Senior Search Infrastructure Engineer

Cohere is on a mission to scale intelligence to serve humanity, focusing on training and deploying frontier models for AI systems. As a Senior Search Infrastructure Engineer, you'll be integral to the Search team, working on deploying and supporting the search platform. You'll manage service stability, releases, and system resiliency while optimizing cluster hardware and integrating with model serving backends.

The role involves working with cutting-edge search models and providing excellent experiences for both internal and external customers. You'll be part of a 24x7 on-call rotation (with compensation) and will work alongside world-class researchers, engineers, and designers who are passionate about their craft.

The position offers flexibility with offices in Toronto, San Francisco, New York, and London, embracing a remote-friendly environment. You'll contribute to a diverse team that values different perspectives and focuses on building great products. The role requires expertise in Opensearch/Elasticsearch, Kubernetes, and cloud infrastructure, though candidates without perfect alignment are encouraged to apply.

Benefits include comprehensive health and dental coverage, mental health support, parental leave, enrichment benefits, and flexible work arrangements. This is an opportunity to shape the future of AI technology while working with a team dedicated to customer success and technical excellence.

Last updated 21 hours ago

Responsibilities For Senior Search Infrastructure Engineer

  • Support Search Services for internal and external use cases
  • Automate observability and resilience
  • Ensure defined SLOs are met, including participation in on-call rotation
  • Build relationships with internal developers and influence Search and Infrastructure team's roadmap
  • Develop team through knowledge sharing and active review process

Requirements For Senior Search Infrastructure Engineer

Kubernetes
  • Experience supporting Opensearch or Elasticsearch clusters in production
  • Experience deploying and managing Kubernetes clusters
  • Experience solving problems while on-call for production systems
  • Hands-on coding experience developing services and automated tests
  • Experience scaling and debugging cloud-based infrastructure through GCP, AWS, or Azure
  • Commitment to mentorship, knowledge transfer, and review

Benefits For Senior Search Infrastructure Engineer

Dental Insurance
Medical Insurance
Mental Health Assistance
Parental Leave
  • Weekly lunch stipend, in-office lunches & snacks
  • Full health and dental benefits
  • Mental health budget
  • 100% Parental Leave top-up for 6 months
  • Personal enrichment benefits
  • Remote-flexible work
  • Co-working stipend
  • 6 weeks of vacation

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