Staff Software Engineer – Data Infrastructure / Real‑Time Pipelines / Cloud / GPUs (Remote)

Staff Software Engineer – Data Infrastructure / Real‑Time Pipelines / Cloud / GPUs (Remote) Location: Remote (US)Base: $170k–$185k + significant equityType: Senior IC (no people management) Quick overviewWell‑funded Series A climate/AI startup, ~10–11th hire.You’ll own the data + compute backbone behind an AI Earth System for weather/climate.Small, senior, horizontal team (no middle management).Deeply hands‑on role: design, build, and run production systems.Mission‑driven + strong open‑science ethos. Why join?Founding‑level impactShape core data architecture, reliability standards, and engineering culture.Serious technical problemsBursty GPU workloads (tens–hundreds of GPUs, short jobs).Latency‑sensitive, high‑throughput pipelines.Petabyte‑scale earth/weather data.Mission + open scienceBacked by top climate investors; dual mandate of commercial success and releasing models/datasets to the community.Comp & benefitsBase: $170k–$185kEarly‑employee equity on par with rest of the early teamFully remote (US), flexible hoursUnlimited PTO (encouraged)Stipend targeted to cover medical/dental for you + family2x fully‑funded in‑person offsites per year What you’ll doBuild data ingestion & pipelinesHigh‑throughput ingest for real‑time & batch data (models, satellite, radar, reanalysis, obs).Turn messy external feeds into analysis‑ready, cloud‑optimized datasets.Design bursty GPU & low‑latency workflowsArchitect systems that can spin up large GPU fleets briefly, then scale back down.Keep end‑to‑end latency low and costs sane.Productionize inference and evaluation with research/ML teams.Own cloud‑native systemsMake pragmatic choices across AWS/GCP, Modal/serverless, containers, batch.Own monitoring, alerting, SLOs, runbooks, and failure‑mode thinking.Enable the rest of the teamBuild tools/abstractions so researchers and data scientists can run large workflows safely. This is not: a people‑management role or a pure ML‑research role. It is a deep systems/data infrastructure role for someone who wants to stay in the trenches as a senior IC. Must‑have experienceRaise the bar on code quality, testing, CI/CD, and observability.Senior / Staff‑level ICTypically 7+ years as a hands‑on SWE or data/infra engineer.You’ve taken systems from idea → design → production → operations.Real‑time / large‑scale dataBuilt and run high‑throughput, low‑latency pipelines or big batch systems.Designed for reliability, observability, and cost at scale.Python in productionStrong modern Python for data/infra.Comfortable turning prototypes into robust, maintainable services.Cloud‑native (AWS and/or GCP)Deep experience with managed services to build scalable, resilient systems.Containers + serverless/batch environments (Docker, K8s, Modal or similar).Workflow orchestrationDesigned and operated complex workflows in Airflow / Dagster / Prefect or similar.High autonomyYou can ramp quickly on a complex domain.You’re comfortable in a small, distributed, senior team with little hand‑holding. Great‑to‑have (not required)Domain‑relevant large dataWeather, climate, environmental, satellite, radar, or geospatial data.Formats like GRIB, NetCDF, Zarr, Parquet, etc.Earth system / NWP exposureWorked near numerical weather prediction or large scientific models.GPU / HPC‑style workloadsOperating GPU‑accelerated or large batch compute (HPC, Slurm, Ray, K8s, Modal).Research / open‑science environmentsTranslating research code into robust production systems (academia, labs, open‑source).Early‑stage startup experienceWearing multiple hats, making pragmatic trade‑offs, and shipping under uncertainty. How to applyIf you’re a systems‑minded senior engineer who likes owning real‑world data and compute problems end‑to‑end - and you’re happy to keep building infrastructure instead of chasing “ML Engineer” titles - please apply with your resume via this site. SEO keywords:Staff Software Engineer, Senior Software Engineer, Senior Data Engineer, Staff Data Engineer, Founding Engineer, Data Infrastructure Engineer, Real‑Time Data Pipelines, Cloud Native Engineer, AWS Engineer, GCP Engineer, Python Systems Engineer, Machine Learning Infrastructure, MLOps (Infra), Backend Systems Architect, Scientific Computing, Geospatial Engineer, Weather Data Engineer, Climate Tech Engineer, GPU Workloads, Serverless Engineer, Remote Startup Jobs. DisclaimerAttis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.