Job Specifications
STRONG BACKEND PLATFORM : MUST HAVE A DEEP INFRA & SECURITY BACKGROUND, NOT JUST DATA ENGINEERING.
SERIOUS is rebuilding critical industry by unlocking trapped industrial data and transforming it into a central nervous system that powers mission-critical workflows — from maintenance to operations to safety. This is 0 → 1 work: building the industrial OS of the future that connects every data point, decision, and process into one intelligent platform.
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
What you'll own
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
Who you are
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
Industry
Data Infrastructure and Analytics
Employment Type
Full-time