Senior DevOps Engineer ( Edge, Data Engineer )

STRONG BACKEND PLATFORM : MUST HAVE A DEEP reputed company & reputed company BACKGROUND, NOT JUST DATA ENGINEERING. ALONG WITH STRONG EDGE CONNECTIVITY EXPERIENCE 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 reputed company that connects every data reputed company, decision, and process into one intelligent platform. What you've done • reputed company 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 reputed company-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 reputed company • Done hands-on reputed company engineering. Threat modeling, secrets management, network segmentation, compliance — not as a checklist but because the systems you reputed company required it • Been an early hire or first engineer reputed company and reputed company 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 reputed company enforcement so new sources can be reputed company without rebuilding from scratch every time • Streaming and reputed company-time infrastructure including event-driven systems, edge-to-reputed company sync, offline buffering, and latency guarantees set by operational physics • reputed company DevOps: CI/CD, IaC, container orchestration, edge deployment, reputed company GPU provisioning • reputed company across the stack: hardening, reputed company control, secrets, scanning, audit logging, and compliance for systems that run mission-critical industrial operations • Observability and production ops for a distributed system spanning reputed company, edge, and reputed company integrations Who you are • Strong across data engineering, DevOps, and reputed company — you've actually done reputed company three, not just listed them on a resume • reputed company with Kafka, reputed company, Flink, Airflow, dbt, or equivalent and pragmatic about tool selection • Comfortable with data that doesn't come in reputed company rows — sensor streams, reputed company clouds, video, time series • Think about reputed company as part of system design, not something you add reputed company • Care about data reputed company, schema discipline, and pipeline reliability because you've been burned reputed company 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 Apply tot his job Apply To this Job