180 karma · joined July 1, 2012
If you're primarily building a web app, a monolith is fine for quite a while, I think. But a lot of the stuff in the post is still relevant even for monoliths - RDS, Redis, ECR, terraform, pagerduty, monitoring/observability.
If you're looking for successful businesses, indie hackers like levelsio show you how far you can get with very simple architectures. But that's solo dev work - once you have a team and are dealing with larger-scale data, things like infrastructure as code, orchestration, and observability become important. Kubernetes may or may not be essential depending on what you're building; it seems good for AI companies, though.
https://jobs.lever.co/gridmatic/ee0f4882-10aa-4c92-b0bb-1497...
Gridmatic is a profitable early-stage climate tech startup that uses ML forecasting to help decarbonize the energy grid. We use ML to help with grid-related operations like optimizing battery farms and being a retailer of 24/7 carbon-free energy.
We’re looking for an experienced full-stack engineer with 3+ YOE with the ability to build product from zero-to-one to work on our retail energy initiative. You’d work across the stack on a wide range of projects — building out a web app for energy customers, working with third-parties to pull in energy usage data and public renewable energy data, integrate billing and other key operational systems, and help improve automation and scale up to hundreds of customers. We value the ability to push through uncertainty and take ownership of the retail web platform.
Our stack is Python, React, Postgres, Kubernetes, and GCP. Having Python and React experience is preferable.
Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino, CA office 2 or 3 days a week.
Apply here: https://jobs.lever.co/gridmatic/ee0f4882-10aa-4c92-b0bb-1497...
Leave a comment if you have any questions!
I agree that not using fossil fuels is the most efficient method, but it's also not easy to take action on. We need to pursue every viable avenue in parallel, and carbon removal solutions are, if not particularly efficient yet, at least very actionable. And with R&D, perhaps they will become more efficient.