Senior Software Engineer - Search Application (Agentic Search)

1 нед. назад

ИзраильSenior

apibackenddistributed-systemspipelinesoftware-engineering

Senior Software Engineer to develop and operate high-scale backend components of a search orchestration system in an AI cloud platform.

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.
We are looking for a Senior Software Engineer to work on the core search application powering our agentic search platform. In this role, you will build and operate a high-scale, latency-sensitive API that sits at the center of the search request flow. The system orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost.

Design, implement, and operate core backend components of a search orchestration system, spanning online services and background data pipelines.
Build well-tested services and pipelines with clear responsibilities and interaction contracts, while remaining flexible as the system evolves
Define and implement observability primitives, including structured logs, metrics, traces, and quality signals for both online and offline components
Support experimentation and iteration by enabling feature flags, controlled rollouts, and online experiments
Track throughput, latency, and resource usage across the system, and improve performance or cost efficiency when business needs require it
Collaborate closely with ML engineers to integrate search quality improvements to the system, while keeping ML logic decoupled from core system internals
Monitor resource usage, bandwidth consumption, and infrastructure cost
Work with data analysts and product managers to translate product and quality goals into concrete backend behavior and measurable metrics

5+ years of experience building product critical backend services
Strong Go and Python Experience
Experience with large-scale distributed systems (5k+ RPS, billions of events, high-throughput pipelines)
Understanding of Information Retrieval flows and pipelines
Experience operating production systems and debugging failures in distributed environments
Strong understanding of scalability, fault tolerance, and resource management
Are interested in either a strong senior IC role or a role with significant technical leadership and ownership.
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI