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
501 - 1,000 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 join their Platform Embeddings & Search team to deploy and support the search platform. You'll work with cutting-edge search models, manage service stability, optimize performance, and integrate with model serving backends. The role involves 24x7 on-call rotation (compensated) and offers the flexibility to work from offices in Toronto, San Francisco, New York, or London.

The position requires expertise in Opensearch/Elasticsearch, Kubernetes, and cloud infrastructure. You'll be responsible for supporting search services, automating observability, ensuring SLOs, and building strong relationships with internal developers. The ideal candidate should have experience with production systems, service development, and a commitment to mentorship.

Cohere offers an inclusive culture working with world-class professionals at the forefront of AI research. The company provides comprehensive benefits including health and dental coverage, mental health support, parental leave, personal enrichment benefits, and flexible work arrangements. With 6 weeks of vacation and offices across major cities, Cohere creates an environment that balances professional growth with personal well-being.

This role presents an opportunity to shape the future of AI while working with a diverse team of passionate individuals who are leaders in their respective fields. Even if your experience doesn't perfectly match all requirements, Cohere encourages applications from those committed to their mission of advancing AI technology.

Last updated 2 days 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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