Senior Site Reliability Engineer (Agentic Search)

The Role: Senior Site Reliability Engineer

• 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 optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

• Building out monitoring, alerting, and observability

• Debugging production issues across services

• Managing cloud costs and capacity planning

• Working closely with a small engineering team - you’d own infra, not a slice of it

Do you have experience in Systems engineering?, * 5-8 years in a DevOps or SRE role, working in production environments

• Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale

• Strong Kubernetes experience in a managed cloud environment

• Proficiency with infrastructure as code (Terraform or similar)

• Experience with GitOps-based deployment workflows

• Built or maintained observability stacks (logging, metrics, alerting)

• Experience handling production incidents calmly and methodically

Nice to have:

• Multi-region deployments

• Search infrastructure

• Data pipeline experience (streaming, warehousing)

• Proxy/networking infrastructure at scale

Pulled from the full job description

• Parental leave
• Health insurance
• Vision insurance
• Dental insurance
• Life insurance
• Disability insurance, Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.

• 401(k) plan: Up to 4% company match with immediate vesting.

• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.

• Remote work reimbursement: Up to $85/month for mobile and internet.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.