I currently make $97k in a remote Google Cloud migrations role, often juggling 3–12 projects at once across multiple clients. On top of that, my manager has set increasingly unrealistic performance goals tied to ratings.
My goals include completing migration “improvements,” where 6 improvements equal a rating of 3, 12 a 4, and 18 a 5, but each improvement is also individually scored from 1–5, which I think is subjective too. I’m also expected to complete 40 hours of LinkedIn Learning on soft skills, and complete 2 one-hour presentations on Google updates. Beyond that, I’m required to handle provisioning tickets with targets tied to both ticket count and estimated hours (ranging from 9 tickets/18 hours for a 3 up to 25 tickets/80 hours for a 5 on the review). For this year so far he wants me to obtain a Google Data Engineering certification, and complete an additional 10–30 data engineering tickets.
I received an offer for a university cloud engineer role paying $82–100k, but it’s fully in-person from 8 to 5 with a 30 minute commute. Parking costs a 100 a semester. And there’s on call work every 6 weeks. The benefits are more traditional and stable (set PTO accrual, tuition assistance, cheaper insurance), and the tech stack includes Azure, AD, PowerShell, VMware, and networking tools vs the Google Workspace stuff that is more niche at my current role.
I’ve heard university jobs are generally more “chill,” but I’d be giving up remote work and location flexibility. Some friends told me to keep the remote job and move to a place with more to do. I’m torn between staying remote with a manager I don’t trust long-term or taking a potentially more stable role now, especially since I’m unsure how many other offers I’ll get in this market.
Or should I hold out and keep looking. The only thing is it’s hard to get an interview, much less a job offer in this job market with the AI fears.
submitted by /u/ElectricOne55
[link] [comments]
0 Comments