Senior Software Engineer - (Search) Indexing

We are looking for a Senior Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption.

In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical — designing systems capable of handling tens of gigabytes per second across continuously evolving datasets.

• →Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure
• →Build ingestion workflows for internal and external data sources, including web-scale crawling and structured feeds
• →Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency
• →Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current
• →Ensure reliability and predictability of pipelines under high-throughput conditions
• →Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves
• →Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines
• →Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it
• →Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements
• →Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals

• Have 5+ years of experience building production backend or data systems
• Have strong hands-on experience with Go in real-world, high-load services (experience with other systems languages such as C++ or Rust is a plus)
• Have worked on systems at significant scale — such as 10k+ RPS or 10+ GiB/sec throughput
• Have experience building or operating databases, data planes, or large-scale data pipelines
• Understand distributed systems fundamentals, including fault tolerance, failure modes, and horizontal scalability
• Have operated your own systems in production: handled incidents, made real-world tradeoffs, and understand what running data infrastructure at scale truly involves
• Think in terms of systems and data flows rather than isolated components, reasoning end-to-end about how data moves through the stack
• Can make pragmatic decisions under pressure without compromising long-term system health
• Collaborate effectively across infrastructure, ML, and product teams, communicating clearly in cross-functional settings

• Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam
• Content systems including web crawling, scraping, proxying, or anti-bot infrastructure
• Ad tech, social networks, or other large-scale content platforms
• DBMS internals (open source or SaaS) and cloud infrastructure
• Open-source contributions or active involvement in the engineering community
• Competitive programming or CTF participation (ICPC, IOI, or similar)
• SHAD or similar advanced technical programmes
• Conference talks or technical publications

We conduct coding interviews as part of the process.