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Posted 16 hours ago
Senior Site Reliability Engineer
TavilySenior Site Reliability Engineer
Perks & benefits
Health InsuranceMedical InsuranceMobile AllowancePaid Leave
Requirements
5-8 years DevOps or SRE experience, Distributed systems design, Kubernetes, Terraform, GitOps, Observability stacks
Skills
KubernetesTerraformGitOps
About the role
Responsibilities
- Managing Kubernetes clusters across multiple environments and regions
- Owning infrastructure as code for all resources
- Maintaining and improving CI/CD pipelines and GitOps-based deployments
- Maintaining and optimizing real-time data pipelines processing billions of events per day
- Building out monitoring, alerting, and observability
- Debugging production issues across services
- Managing cloud costs and capacity planning
- Working closely with a small engineering team to own entire infrastructure
Requirements
- 5-8 years in a DevOps or SRE role in production environments
- Experience designing and operating large-scale, distributed systems
- Strong Kubernetes experience in a managed cloud environment
- Proficiency with infrastructure as code (Terraform or similar)
- Experience with GitOps-based deployment workflows
- Experience building or maintaining observability stacks
- Ability to handle production incidents calmly and methodically
Preferred Qualifications
- Multi-region deployments experience
- Search infrastructure experience
- Data pipeline experience (streaming, warehousing)
- Proxy/networking infrastructure at scale experience
Benefits
- 100% company-paid medical, dental, and vision coverage for employees and families
- 401(k) plan with up to 4% company match and immediate vesting
- 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
- Up to $85/month remote work reimbursement for mobile and internet
- Company-paid short-term, long-term, and life insurance
About the Company
Tavily is building the infrastructure layer for agentic web interaction at scale, powering Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems.
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Tavily · New York City
