feat(app): NVIDIA Senior Production Engineer, DGX Cloud submitted; on-duty, GPU and networking KB gaps closed; triage 2026-10-22

Application (submitted 2026-10-22, Workday):
- NVIDIA JR2027105, Switzerland Remote. Evidence Fit 65, Stretch (SLIs and
  error budgets not evidenced), hard gate PASS, channel Weak, no cover letter.
- Package in output/NVIDIA_ProdEng_DGX_Cloud/: session, resume .tex, critique
  (Document Quality 85 before Edit 1; Tier 1 + all Tier 2 applied), verbatim JD.
- Prior NVIDIA req JR2024256 was pulled (last listed 2026-09-18; page gone
  2026-10-22): noted on that application, so there was no stacking conflict.

KB (claims.json, user-confirmed 2026-10-22):
- SW-11: current rotating engineer-on-duty role, Opsgenie alerting, alerts and
  bugs auto-create Jira tickets; he writes alert thresholds (e.g. data quality).
- BS-1: the Bosch inference ran on NVIDIA GPUs; CUDA registered forbidden as a
  skill (system context only, little configuration done).
- BS-4: the PoC included Grafana, Prometheus and Loki; ELK Stack, Grafana,
  Prometheus and Loki registered as PoC-context skills.
- networking: certification context only (AWS SA Associate); work uses
  automated landing zones.
- Extraction and CLAUDE.md log row added.

Scout state:
- decisions: RUAG Senior DevOps (Kubernetes) C5I parked (home-office terms);
  SLB Data Scientist skipped (user); NVIDIA JR2008695 skipped (C++/Rust 8y);
  JR2027105 applied; Norway/Apple/Swiss JD-read triage decisions.
- employer_reputation: SLB (Glassdoor 3.9), MazeMap and SpareBank 1
  Nord-Norge (unchecked).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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dennisthiessenandClaude Opus 5.5 committed 2026-10-22 22:29:27 +02:00
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# On-duty alerting, networking and Bosch GPUs — user clarification
Source: direct user message, 2026-10-22, during the NVIDIA *Senior Production Engineer, DGX Cloud*
(JR2027105) fit check. Three questions were asked because the KB has repeatedly under-recorded
ordinary operations work (Ansible, Linux, Bash, Kotlin, Jenkins/GitLab).
## Questions and verbatim answers
1. *Monitoring in your current Swisscom unit: do you monitor or get alerted on your Glue/Airflow
pipelines (CloudWatch alarms, failure alerts, dashboards)? Is there on-call in your current team?*
> Yes, we get alerted ... we are using opsgenie and we have a engineer on duty role which rotates.
> Bugs and Alerts also automatically create Jira issue tickets which we dann asign an fix.
2. *Networking at work: any AWS VPC, security group or private-endpoint work at Swisscom, or firewall,
DNS, proxy or load-balancer work at Bosch?*
> No, not really - probably only my AWS solution architect cert covers AWS network topics... but day
> to day work is using automated landing zones.
3. *GPUs at Bosch: did the ML inference containers run on GPUs?*
> The ML inference did ran on NVIDIA GPUs (using CUDA for performance boost - but i never did much
> configuration there)
## Follow-up questions and verbatim answers (same day)
4. *Bosch monitoring PoC: your earlier CV says it also included Grafana, Prometheus and Loki; the Bosch
reference letter only mentions ELK. Correct?* and 5. *Do you also write or adjust the alerts for your
own pipelines, or only respond to them?*
> 1. both are correct 2. yes, i wrote e.g. thresholds for data quality etc....
## Established facts
- **BS-4 stack:** the Bosch PoC covered ELK and Kafka plus monitoring and alerting with Grafana,
Prometheus and Loki. It is still a proof of concept.
- **SW-11 alert definitions:** he defines alert thresholds for his own pipelines; data-quality
thresholds are the named example. Other alert types are not established.
- **Current on-duty (new claim SW-11):** his current Swisscom team uses Opsgenie for alerting and has a
rotating engineer-on-duty role that he takes part in. Bugs and alerts automatically create Jira
tickets, which the team assigns and fixes. This is the current counterpart of the past SW-2 on-call
at ART B2B.
- **Networking (skill `networking`, certification context only):** no professional network
configuration. AWS networking is covered by the AWS Certified Solutions Architect – Associate
(26 Sep 2024, active). At work he uses automated AWS landing zones that the platform provides.
- **Bosch GPUs (BS-1 scope):** the containerized ML inference he integrated ran on NVIDIA GPUs, with
CUDA used for acceleration. He did little CUDA or GPU configuration himself.
## Not established
- Who built or configured the alerting, the Opsgenie routing or the Jira automation.
- Which metrics or logs feed the alerts; SLIs, SLOs or error budgets at Swisscom.
- Incident counts, response times, MTTR or availability figures.
- Whether the on-duty role covers nights and weekends (do not write 24/7).
- Any professional VPC, security-group, firewall, DNS, proxy or load-balancer work.
- Building or designing landing zones or network topology.
- CUDA programming or configuration, GPU tuning or GPU performance analysis. GPU model, count and
serving framework at Bosch.
## Canonical destination
`claims.json`: new claim **SW-11**; **BS-1** scope and forbidden list; skills **Opsgenie**
(allowed-with-context), **CUDA** (forbidden; system context only) and **networking**
(certification-context-only).