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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - Indexing - **Company:** Dormont Manufacturing Co - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Automated Storage and Retrieval Systems, C++ (Programming Language), Software as a Service, Cloud Computing, Databases, Data Systems, Distributed Computing Environment, Distributed Systems, MapReduce, Data Streaming, Web Crawlers, Data Processing, Database Optimization, Apache Spark, Indexer, Backend, Apache Flink, Free and Open-Source Software, Search Engines, Data Pipelines - **Published:** July 14, 2026 - **Apply:** https://www.jobbird.com/nl/vacature/25437315-senior-software-engineer-indexing ## About the Role * Have 5+ years of experience building production backend or data systems * Are strong in Go, C++, or Rust * Have experience with high-load systems (e.g. 10k+ RPS or 10+ GiB/sec throughput) * Have worked on databases, data planes, or large-scale data pipelines * Understand distributed systems fundamentals and failure modes * Have operated systems in production and handled real-world tradeoffs * Think in terms of systems and data flows rather than isolated components * Can make pragmatic decisions without compromising long-term system health * Collaborate effectively across infrastructure, ML, and product teams Strong candidates may also have experience with: * Distributed data processing frameworks (Spark, Flink, MapReduce, Beam) * Content systems (web crawling, scraping, proxying, anti-bot infrastructure) * Ad tech, social networks, or large-scale content platforms * DBMS (OSS or SaaS) and cloud infrastructure * Open-source contributions * Competitive programming or CTFs (ICPC, IOI, etc.) * SHAD or similar advanced technical programs * Conference talks or technical publications ## Description 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 organize 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 that can handle tens of gigabytes per second and continuously evolving datasets. In this position, your responsibility will be to * Design, implement, and operate large-scale indexing systems and data pipelines * Build ingestion workflows for internal and external data sources (including web-scale crawling and structured feeds) * Develop and optimize indexing strategies for performance, freshness, and efficiency * Work on storage formats, compaction strategies, and update mechanisms * Ensure reliability and predictability under high-throughput conditions * Build well-tested components with clear contracts while allowing architectural flexibility * Define observability primitives (logs, metrics, data quality signals) across pipelines * Monitor throughput, resource usage, and cost, and optimize when needed * Collaborate with runtime and ML teams to support retrieval and ranking requirements * Enable safe experimentation on indexing strategies and data processing logic ## Related Videos - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Dynamic Entities in .NET: Building Low-Code Systems on Top of Entity Framework Core](https://www.wearedevelopers.com/videos/100218-dynamic-entities-in-net-building-low-code-systems-on-top-of-entity-framework-core) ## Related Articles - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Where to Find Entry-Level Software Engineering Jobs](https://www.wearedevelopers.com/magazine/397-where-to-find-entry-level-software-engineering-jobs) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)