Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Senior Site Reliability Engineer (In-Office Required)

Nebius
CompanyNebius
CategoryEngineering
LocationNew York City
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted23 Jun 2026
Last verified12 Aug 2026
SourceEmployer ATS (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About  Tavily   We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.   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.   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   What  we're  looking for   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   Why  Tavily ?   Full ownership  — small team, you own the entire infrastructure, not a slice of it   Real scaling challenges  — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests   AI-native company  — your infra directly powers AI agents used by leading companies in the space.     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 prima