Senior SRE (Search)
Nebius
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This role on the market
393 open search roles across 106 companies are on ApplySarthi right now, most of them in Bengaluru (17), Pune (2), Lucknow (1).
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What search roles keep asking for: Observability (34%), LLMs (29%), Python (27%), Java (26%), System design (25%), Elasticsearch (22%), Machine learning (20%), C++ (17%) — counted across their open postings here.
CI/CD jobs · Kubernetes jobs · LLMs jobs · Observability jobs
Nebius has 481 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for search roles keep coming back to Observability, LLMs, Python, Java. Practise those questions before you sit with Nebius.
Questions you are likely to be asked
- Why do you want to join Nebius?
- What is your experience with Kubernetes? Tell me one thing you learned the hard way.
- How would you cut the cloud bill of a system without hurting it?
- How do you keep secrets and access safe in your infrastructure?
- Walk me through how code gets from a commit to production where you work.
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior SRE (Search) at Nebius interview free →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
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Managing Kubernetes clusters across multiple environments and regions
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Owning infrastructure as code for all resources
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Maintaining and improving CI/CD pipelines and GitOps-based deployments
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Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors
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Building out monitoring, alerting, and observability
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Debugging production issues across services
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Managing cloud costs and capacity planning
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Working closely with a small engineering team — you'd own infra, not a slice of it
What we're looking for
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5-8 years in a DevOps or platform engineering role, working in production environments
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Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
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Strong Kubernetes experience in a managed cloud environment
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Proficiency with infrastructure as code (Terraform or similar)
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Experience with GitOps-based deployment workflows
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Built or maintained observability stacks (logging, metrics, alerting)
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Experience handling production incidents calmly and methodically
Nice to have:
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Multi-region deployments
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Search infrastructure
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Data pipeline experience (streaming, warehousing)
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Proxy/networking infrastructure at scale
Why Tavily?
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Full ownership — small team, you own the entire infrastructure, not a slice of it
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Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
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AI-native company — your infra directly powers AI agents used by leading companies in the space.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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Listed on greenhouse · posted 2026-08-10. ApplySarthi collects openings and links to application pages; the role is advertised by Nebius, not by us.