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

Location: Remote (US)

Base: $170k–$185k + significant equity

Type: Senior IC (no people management)

Quick overview

Well‑funded Series A climate/AI startup, ~10–11th hire.

You’ll own the data + compute backbone behind an AI Earth System for weather/climate.

1. Small, senior, horizontal team (no middle management).
2. Deeply hands‑on role: design, build, and run production systems.
3. Mission‑driven + strong open‑science ethos.

Why join?

Founding‑level impact

1. Shape core data architecture, reliability standards, and engineering culture.

Serious technical problems

1. Bursty GPU workloads (tens–hundreds of GPUs, short jobs).
2. Latency‑sensitive, high‑throughput pipelines.
3. Petabyte‑scale earth/weather data.

Mission + open science

1. Backed by top climate investors; dual mandate of commercial success and releasing models/datasets to the community.

Comp & benefits

1. Base: $170k–$185k
2. Early‑employee equity on par with rest of the early team
3. Fully remote (US), flexible hours
4. Unlimited PTO (encouraged)
5. Stipend targeted to cover medical/dental for you + family
6. 2x fully‑funded in‑person offsites per year

What you’ll do

Build data ingestion & pipelines

1. High‑throughput ingest for real‑time & batch data (models, satellite, radar, reanalysis, obs).
2. Turn messy external feeds into analysis‑ready, cloud‑optimized datasets.

Design bursty GPU & low‑latency workflows

1. Architect systems that can spin up large GPU fleets briefly, then scale back down.
2. Keep end‑to‑end latency low and costs sane.
3. Productionize inference and evaluation with research/ML teams.

Own cloud‑native systems

1. Make pragmatic choices across AWS/GCP, Modal/serverless, containers, batch.
2. Own monitoring, alerting, SLOs, runbooks, and failure‑mode thinking.

Enable the rest of the team

1. Build 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 experience

1. Raise the bar on code quality, testing, CI/CD, and observability.

Senior / Staff‑level IC

1. Typically 7+ years as a hands‑on SWE or data/infra engineer.
2. You’ve taken systems from idea → design → production → operations.

Real‑time / large‑scale data

1. Built and run high‑throughput, low‑latency pipelines or big batch systems.
2. Designed for reliability, observability, and cost at scale.

Python in production

1. Strong modern Python for data/infra.
2. Comfortable turning prototypes into robust, maintainable services.

Cloud‑native (AWS and/or GCP)

1. Deep experience with managed services to build scalable, resilient systems.
2. Containers + serverless/batch environments (Docker, K8s, Modal or similar).

Workflow orchestration

1. Designed and operated complex workflows in Airflow / Dagster / Prefect or similar.

High autonomy

1. You can ramp quickly on a complex domain.
2. You’re comfortable in a small, distributed, senior team with little hand‑holding.

Great‑to‑have (not required)

Domain‑relevant large data

1. Weather, climate, environmental, satellite, radar, or geospatial data.
2. Formats like GRIB, NetCDF, Zarr, Parquet, etc.

Earth system / NWP exposure

1. Worked near numerical weather prediction or large scientific models.

GPU / HPC‑style workloads

1. Operating GPU‑accelerated or large batch compute (HPC, Slurm, Ray, K8s, Modal).

Research / open‑science environments

1. Translating research code into robust production systems (academia, labs, open‑source).

Early‑stage startup experience

1. Wearing multiple hats, making pragmatic trade‑offs, and shipping under uncertainty.

How to apply

If 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:

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Disclaimer

Attis 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.

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