Full-Time

Founding Data & Infra Engineer

Turing • Remote

Company

Turing

Hourly rate

$25 – $55/hr

Location

Remote

Listed

25d ago

Field:: Software Engineering

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What you'll do

Data pipeline architecture from edge sensors through ingestion, transformation, fusion, and delivery into analytics and AI workloads — including multimodal sources like video, audio, and LiDAR alongside traditional telemetry
ETL tooling with versioning, orchestration, and data quality enforcement so new sources can be onboarded without rebuilding from scratch every time
Streaming and real-time infrastructure including event-driven systems, edge-to-cloud sync, offline buffering, and latency guarantees set by operational physics
All DevOps: CI/CD, IaC, container orchestration, edge deployment, cloud GPU provisioning
Security across the stack: hardening, access control, secrets, scanning, audit logging, and compliance for systems that run mission-critical industrial operations
Observability and production ops for a distributed system spanning cloud, edge, and enterprise integrations

What you need

Strong across data engineering, DevOps, and security — you've actually done all three, not just listed them on a resume
Experienced with Kafka, Spark, Flink, Airflow, dbt, or equivalent and pragmatic about tool selection
Comfortable with data that doesn't come in neat rows — sensor streams, point clouds, video, time series
Think about security as part of system design, not something you add later
Care about data quality, schema discipline, and pipeline reliability because you've been burned when those things slip
Want to own something fully and build it right. Not looking for a job — looking for the thing you pour yourself into for the next several years

About the job

We're emerging from stealth. We're building an industrial data foundry — sensor connectivity, real-time data pipelines, and AI for the systems that actually run manufacturing, energy, and critical infrastructure.
We're hiring our first backend and data infrastructure engineer. You'll own the data layer end to end — pipelines, ETL, edge connectivity, security, and infrastructure. Founder-level responsibility from day one.
You will work alongside engineers and leaders from ABB, Siemens, and Palantir. Autonomous driving engineers from Audi and Volvo. Researchers from Harvard and MIT.

What you've done

Built heavy data pipelines and ETL systems in production — terabytes of streaming and batch data, strict requirements on correctness, latency, and time alignment
Worked with messy real-world data sources: industrial sensors, time series, video, audio, LiDAR, geospatial — not just clean relational tables
Owned infrastructure and DevOps at a startup. CI/CD, IaC, containers, keeping production running. You were the person on call
Done hands-on security engineering. Threat modeling, secrets management, network segmentation, compliance — not as a checklist but because the systems you built required it
Been an early hire or first engineer somewhere and built something from scratch that went to production and stayed there