Full Stack Cloud Engineer in Ireland

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Job Description: As a Coinbase Concierge on the Customer Experience team, you'll serve as the primary relationship owner and subject matter expert for our highest-value customers, delivering world-class service that makes using Coinbase seamless and intuitive. This team is the frontline for building trust with the customers who matter most to our business. You'll own the full customer lifecycle, from onboarding and account setup through ongoing education and proactive issue resolution, directly shaping how our most valued customers experience every Coinbase product. What you'll do: Own and deepen relationships with a portfolio of high-value Consumer customers, serving as their primary point of contact and trusted advisor across all Coinbase products and services. Lead end-to-end onboarding for new customers, helping them understand how to set up, secure, fund, and begin using their accounts based on their individual goals. Monitor customer accounts proactively to identify potential issues before they escalate, resolving them directly or guiding the customer to a resolution. Drive adoption of Coinbase features and products, including staking, Coinbase One, and newly released capabilities tailored to each customer's needs. Partner across internal teams of subject matter specialists to resolve complex issues and serve as the escalation point for cases requiring deeper i

As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You'll Do Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity Measures of Success In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with. You have delivered small-to-medium improvements to our project portfolio In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice In 12 months, you've established a track record of shipping ML-driven improveme