AI Hiring Index

Nebius · Infrastructure · Senior · Posted 2026-06-23

Senior Site Reliability Engineer (In-Office Required)

Nebius · New York City, New York, United States · $147k–224k base

This range's midpoint is above 27% of posted infrastructure ranges at AI companies right now. See the salary index.

Apply on Nebius's site Watch Nebius for new roles

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 primary caregivers, 12 weeks for secondary caregivers.  

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

Disability & life insurance : Company-paid short-term, long-term and life insurance coverage.  

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

Base Compensation Range $147,200 — $224,000 USD

…

New infrastructure roles at AI companies, every Monday. The week's openings in this function across 286 companies, plus the weekly index. Free.

More infrastructure roles at Nebius

See also: Infrastructure Engineer jobs · AI jobs in New York · Nebius salaries · Kubernetes jobs · Terraform jobs · LLMs jobs.

This listing is reproduced from Nebius's public careers feed and links to the original. AI Hiring Index is not the employer and does not accept applications. All Nebius roles · AI salaries.