Datastream Nest 153-5, Changgokri, Paltan-myeon, Hwaseong-si +82 1 493 6325

Careers rail

Mentor collective & classroom ops

We hire facilitators who can read a Spark UI without squinting and who tolerate redacted production DAGs in reviews. Below is how work flows between learners, mentors, and rack operators.

Workflow schema

Learners Notebook diffs + rubrics Mentors Office hours + critiques Rack ops Firmware + VPN windows Telemetry bus Listener exports + anonymized skew replays move eastbound nightly.

Mentor standards

Minimum three years operating Spark in multi-tenant clusters, published change logs from prior teaching engagements, and willingness to decline marketing talking points from vendors mid-class.

Learning workflow

Monday drops pre-reads, Wednesday is live critique, Friday is silent lab with async thread—no surprise Saturday deadlines unless a security bulletin forces it (published with rationale).

Classroom tools

Shared Grafana stacks, VPN profiles with explicit TTLs, and JupyterHub templates pinned per cohort so drift is visible instead of mystical.