{"schemaVersion":"jobsearcher.job.v1","id":"5d89d0b9c1797478e5d87a3f","url":"https://jobsearcher.com/jobs/5d89d0b9c1797478e5d87a3f","canonicalUrl":"https://jobsearcher.com/jobs/5d89d0b9c1797478e5d87a3f","title":"Senior Software Engineer - Data Platform","description":"About Aira We build AI agents that run cellular networks.Mobile operators spent billions on 5G but can't extract value—vendor lock-in blocks innovation, monolithic systems don't scale, operational complexity multiplies. We deploy multi-agent systems with fine-tuned LLMs that autonomously optimize network performance, generate operational tools, and execute operator intent. Applied AI at planetary scale: millions of towers, petabytes of telemetry, real-time inference affecting billions of users.Founded by Qualcomm and Intel veterans. Team from Stanford, Berkeley, Cornell. Backed by AT&T Ventures, Intel Capital, In-Q-Tel, NeoTribe, Acrew, and more.The RoleBuild the data backbone that makes autonomous networks possible. You'll transform raw signals from millions of cell towers into the intelligence layer our AI agents use to optimize in real-time - streaming pipelines that feed agent decision-making, models that power operator dashboards, feature stores that enable inference at scale. Your work directly determines what our agents can see and how fast they can respond.You'll collaborate directly with ML researchers tuning models on your data, wireless engineers defining what matters, and product teams shipping analytics to tier-1 operators. Ship fast, iterate, own the full stack from ingestion to insight.What You'll BuildConfig-driven ingestion from multi-vendor RAN element managers into cloud object storage and Snowflake - bronze through goldA modeled KPI layer at cell, carrier, and market granularity that agents and dashboards both query, with contracts stable enough to build onServing APIs over the gold layer - typed, paginated, cached, and fast enough for interactive queries at cell granularity, consumed by both the UI and our agentsData quality, freshness SLAs, lineage, observability, and cost controls for datasets a tier-1 NOC depends onWhat We're Looking For5+ years building production systems with data at the center of themDeep SQL, plus real understanding of query planning, partitioning, and warehouse cost/performance tradeoffsStrong Python; production experience with Spark and workflow orchestration (Airflow, Dagster, or similar)Backend API experience (FastAPI, Flask, or equivalent) serving data to applications and modelsTime-series or event data at scale: schema evolution, late arrivals, idempotency, backfill strategyBonus: telecom/RAN data (3GPP NRM, PM/CM/FM), dbt, Iceberg/Delta, or building serving layers that LLM agents queryNo telecom background required - we'll teach you the domain; we can't teach you judgment about production data.Why AiraDirect access to founders, partners and researchersWork on multi-agent systems and fine-tuned LLMs in production before most companies figure out promptsPartner with tier-1 mobile operators globallyHigh autonomy, real ownership, visible impactWe're building the intelligent network. Help us ship it.","company":"Aira Technologies","rawCompany":"aira technologies","city":"Menlo Park","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-22T11:30:18.941Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer - Data Platform","description":"About Aira We build AI agents that run cellular networks.Mobile operators spent billions on 5G but can't extract value—vendor lock-in blocks innovation, monolithic systems don't scale, operational complexity multiplies. We deploy multi-agent systems with fine-tuned LLMs that autonomously optimize network performance, generate operational tools, and execute operator intent. Applied AI at planetary scale: millions of towers, petabytes of telemetry, real-time inference affecting billions of users.Founded by Qualcomm and Intel veterans. Team from Stanford, Berkeley, Cornell. Backed by AT&T Ventures, Intel Capital, In-Q-Tel, NeoTribe, Acrew, and more.The RoleBuild the data backbone that makes autonomous networks possible. You'll transform raw signals from millions of cell towers into the intelligence layer our AI agents use to optimize in real-time - streaming pipelines that feed agent decision-making, models that power operator dashboards, feature stores that enable inference at scale. Your work directly determines what our agents can see and how fast they can respond.You'll collaborate directly with ML researchers tuning models on your data, wireless engineers defining what matters, and product teams shipping analytics to tier-1 operators. Ship fast, iterate, own the full stack from ingestion to insight.What You'll BuildConfig-driven ingestion from multi-vendor RAN element managers into cloud object storage and Snowflake - bronze through goldA modeled KPI layer at cell, carrier, and market granularity that agents and dashboards both query, with contracts stable enough to build onServing APIs over the gold layer - typed, paginated, cached, and fast enough for interactive queries at cell granularity, consumed by both the UI and our agentsData quality, freshness SLAs, lineage, observability, and cost controls for datasets a tier-1 NOC depends onWhat We're Looking For5+ years building production systems with data at the center of themDeep SQL, plus real understanding of query planning, partitioning, and warehouse cost/performance tradeoffsStrong Python; production experience with Spark and workflow orchestration (Airflow, Dagster, or similar)Backend API experience (FastAPI, Flask, or equivalent) serving data to applications and modelsTime-series or event data at scale: schema evolution, late arrivals, idempotency, backfill strategyBonus: telecom/RAN data (3GPP NRM, PM/CM/FM), dbt, Iceberg/Delta, or building serving layers that LLM agents queryNo telecom background required - we'll teach you the domain; we can't teach you judgment about production data.Why AiraDirect access to founders, partners and researchersWork on multi-agent systems and fine-tuned LLMs in production before most companies figure out promptsPartner with tier-1 mobile operators globallyHigh autonomy, real ownership, visible impactWe're building the intelligent network. Help us ship it.","datePosted":"2026-08-22T11:30:18.941Z","dateModified":"2026-08-22T11:30:18.941Z","hiringOrganization":{"@type":"Organization","name":"Aira Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5d89d0b9c1797478e5d87a3f"},"url":"https://jobsearcher.com/jobs/5d89d0b9c1797478e5d87a3f"}}