{"id":2013550,"url":"https://alion.io/job/tome-staff-software-engineer-data-infrastructure","title":"Staff Software Engineer (Data Infrastructure)","company":{"id":177738,"name":"Tome","domain":"tome.app","url":"https://alion.io/company/tome","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United Kingdom","San Francisco, United States"],"countries":["GB","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"Flink","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"PostgreSQL","optional":false}],"status":"live","first_seen_at":"2026-08-13T00:12:57Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-17T19:32:28Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"Join our fast-growing AI product company as a Staff Software Engineer (Data Infrastructure). You'll be responsible for building the next generation of our data systems, evolving our current architecture into best-practice data architecture, and working closely with the product and engineering teams. This role can be based in San Francisco or Cambridge, and offers meaningful early equity, health insurance, 3 weeks of PTO, and other perks.\nMissions\nConcevoir et mettre en œuvre des architectures de données évolutives, y compris la capture des modifications, la modélisation des événements et la conception des schémas.\nÉvoluer le modèle de données flexible et en forme de graphe pour garantir des performances de requête rapides à mesure que la taille et la complexité augmentent.\nÉtablir la direction technique, les abstractions, les frontières de propriété et les pratiques d'ingénierie pour les systèmes de données à mesure que l'entreprise se développe.\nProfil recherché\n - Clear communication, strong ownership, and a bias toward practical tradeoffs- Strong software engineering fundamentals\n- Good judgment about when to make a tactical fix and when to invest in a more durable platform or architecture change\n- Product orientation: you care about how data infrastructure decisions affect customers, users, and engineering velocity\n- 7+ years experience\n- Experience owning production data systems where query plans, replication lag, backfills, data freshness, schema evolution, or data correctness had real user-facing consequences\n- Comfort debugging across multiple layers of the stack\n- ClickHouse, OLAP systems, event pipelines, data warehouses, or analytical infrastructure\n- Postgres at scale, and the boundary between OLTP and OLAP systems\n- Kafka, Flink, Spark, Iceberg, or similar streaming and lakehouse systems\n- APIs, queues, workflow systems, and distributed systems\n- Observability, incident response, service ownership, and production debugging\n- Data for ML/AI systems: enrichment pipelines, eval harnesses, or data-quality tooling\n- Experience in a high-growth product 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