Retrieving the file
Live· 4,218,906 positions deprecated· 4,218,906 deprecated· 1,284 today
Average time-to-redundancy: 11.3 months
Know before your role does.
pssst. this is to sign up for updates on the game ;)
Will AI replace Senior MLOps Engineer jobs? · Latest report #ftpksa8u
Your job has an expiration date
May 24, 2028
In 1 year, 7 monthsYou spend all day fixing pipelines that machines will build themselves.
Senior MLOps (mostly Kubernetes, deeply tired of YAML)
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Automated deployment, zero human latency.
blub.you▸ AUTOOPS CORE V4▸ RARITY · UNCOMMON▸ DEPRECATION IN 1 YEAR, 7 MONTHSAI's Special Power
autonomously patches production model drifts overnight
You manage model deployment pipelines, monitor production inference drifts, and troubleshoot broken container orchestrations. You live in yaml.
The one thing AI can't do
You are the only one who truly understands why the legacy feature flag keeps crashing.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Week 4
Smart agents start rewriting your messy configuration files automatically.
Month 5
Your Kubernetes clusters start fixing their own container orchestration issues.
Month 10
Automated agents write their own CI/CD pipelines from existing repositories.
Month 15
Adaptive systems take over all inference drift detection and alerts.
Month 19 · D-Day
Your credentials are revoked as the system optimizes your role away.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 94.8%
4,200
Yaml lines per sprint
85%
Percent time debugging infrastructure
4 cups
Coffee consumed per production outage
Your severance
One free lifetime access to a deprecated Kubernetes cluster.
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