IBM is ass, I found Blind too late. I’m looking for my next opportunity and want to make sure my next choice is as informed as possible. My strengths and passions: Python/Java/JS, AWS, k8s, kafka/mq, ML serving, ML model lifecycle. I did 4 YOE in an MLE role and want to continue that while improving as a proper SDE and in cloud-native architectures. I am competitive but am not interested in a pip-heavy company since I keep WLB for the “life” part to include side projects amongst hobbies and time with my spouse. I am in the Bay Area and am flexible on in office vs remote. Which companies are the best fit? TC $185 YOE 5
Datto is hiring! Can submit you as referral if you DM me. Can be 100% remote too
World Conflicts
Yesterday
1397
Why people waste their time behind Israel Palestine issues?
India
Yesterday
1315
Modi is a legend, will be remembered for centuries to come
Working Parents
20h
1415
Closed now - thank you all
Tech Industry
2h
1687
What happens when most of your team is Indian?
Tech Industry
9h
1048
Women, help me understand why this is inspirational
Learn some Flink looks like a missing piece in there. My hunch is people are gonna list a bunch of companies that way too big to really score solid fullstack, greenfield, cloudnative MLE positions. If company has more than 200 engineers probably too big, as they'll have a dedicated ML infra/platform team who don't touch modeling. Basically look at LinkedIn and gauge the size.
Thanks for the tips! What do you think about the long-term relevance of Flink with Kafka Streams growing in popularity? It feels like Flink rose as a stop gap while Kafka didn’t have good streaming functionality
Haven't seen Kafka streams recently but even just a year ago they weren't even close in terms of features and Flink performance was better. BEAM is also growing and getting better each year but Flink is the mature industry standard at this point. My original statement would have better been stated as: "Learn a modern streaming framework, looks like a missing piece in there." But if you're familiar with the streaming world then feel free to ignore me haha.