Cloud infrastructure and DevOps in Austin
The infrastructure hire is usually the one an Austin Series A company means to make next. Until then, the cloud was set up by whichever product engineer was free, the start-up credits cover the bill, and deploys depend on one person's laptop. Then the credits run out, the bill arrives in full, and the req for a platform engineer is the first one frozen.
That is a defined problem, and a good one for an engagement. We bring what you have under Terraform, move deploys into CI so nobody's laptop is a dependency, and cut what you pay for and do not use. We set up monitoring that pages a person only when a person is needed. Most of the time we recommend less infrastructure than you expect: a managed container service or a platform like Railway before Kubernetes. When the hire does happen, they inherit code, runbooks and alerts they can read, not an archaeology project.
The city's centre of gravity is enterprise SaaS and consumer fintech, and both bring the same backend problem early: multi-tenancy that was bolted on after the first enterprise deal, and a permissions model that started as a role column. Then the large customer asks for custom roles and SSO, the board asks for usage-based pricing, and the schema was built for neither. Unpicking that while the product keeps selling is most of what an Austin engagement looks like in the first month. On the fintech side the same pressure lands on the mobile app and the ledger: transfers that must never send twice, and balances that have to match what finance sees.
Austin has also been a hardware and semiconductor town for decades. The fabs and equipment suppliers produce tool telemetry, inspection images and test results in volumes most software companies never see, and the hardware start-ups around them reach the point where a board works on the bench and a pilot customer wants to see its data. Their engineers are process, yield and firmware specialists. The software around the hardware, from the device API and the dashboard to the pipeline that turns readings into something a customer can open, is a defined piece of work that suits an outside team.
Then there is timing. Austin has an unusual density of Series A and B product companies, and they tend to raise, hire aggressively for two quarters, then freeze. A mid-level engineer costs around $145,000 base before equity and benefits, and the platform or infrastructure hire is usually the one that waits longest. We are frequently the answer to "we have the roadmap and the budget, but the req is frozen until next quarter", because an engagement is an invoice rather than a headcount. It starts with a fixed-price two-week piece, and it can grow into an embedded engineer for as long as the roadmap needs one.
We move our working day for Texas. Four hours of every working day overlap with your morning in Central time, so stand-up, code review and the design conversation happen live with the engineer who writes the code. The code lives in your repositories from the first commit, and runbooks and architecture notes are written as we go, so whoever you hire next inherits work they can read.
We are the right fit when the roadmap is ready and the req is frozen. A defined piece of work, such as a permissions model, a device backend or a cloud setup brought under control, starts with a fixed-price two-week piece. Senior capacity arrives within days, and agencies can put the work under their own name.
Four ways this arrives.
Resources were created in the console over several years and nobody can say which ones matter. We inventory the account, bring what is live into Terraform, remove what is not, and hand you a repository that describes the whole estate.
It is usually idle capacity, oversized instances, forgotten environments and data transfer nobody priced. We find where the money goes, cut the obvious waste where you already are, and only then ask whether a cheaper provider such as Hetzner suits your steady workloads.
One person knows the steps and every release waits for them. We build a pipeline that tests, builds and deploys on merge, with rollback to the previous image, so shipping on a Friday afternoon is a decision rather than a gamble.
The channel fires all day, so everyone has muted it, so real outages are reported by customers. We alert on what users actually feel, route each alert to a named owner, and delete every alert nobody would act on at 3am.
A K3s cluster on Hetzner that we provisioned and are on call for, deployed through Flux, where only a push to master can produce an image production will run.
Read the write-up →Asked by Austin teams.
How do you work with teams in Austin?+
We are in Bengaluru and move our working day for Texas, so four hours of every working day overlap with your morning in Central time. Stand-ups, code reviews and design calls happen live in that window. We work in your tools, whether that is Slack, GitHub or Linear, and the person on every call is the engineer who writes the code.
Why do Austin product companies come to you?+
Austin has an unusual density of Series A and B product companies with a strong front-end team and no infrastructure hire yet. That is precisely the seat we fill: the multi-tenant backend, the permissions model, the cloud setup and the deploys that nobody senior owns. It is why more of our US enquiries come from Texas than from the coasts. We build it in your codebase, alongside the team you already have.
How does your rate compare to hiring in Austin?+
A mid-level software engineer in Austin earns around $145,000 base before equity and benefits. Our published rate is $35/hour, or $5,400 a month for an embedded engineer, with a $5,000 minimum. There is no recruiting time and no employment overhead, and work starts within days of the call. The first piece is a fixed-price two-week engagement at $2,800, so you judge us on what ships.
Our req is frozen until next quarter. Can you cover the gap?+
Yes. It is a common Austin situation, and a good fit for an engagement, because an invoice is not a headcount. The roadmap keeps moving while the req waits. Start with a fixed-price two-week piece, or embed an engineer at $5,400 a month. Runbooks and architecture notes are written as we go, so when your hire does start, they inherit work they can read and extend.
Should we run our own Kubernetes cluster?+
Usually not. Self-hosting starts to pay when your managed bill is mostly things you do not use, your workloads are steady rather than spiky, and someone is willing to own the control plane. We run our own on Hetzner, so we know what that job involves. If nobody on your side wants it, managed is cheaper in total even when the invoice is larger.
Do we need Kubernetes at all?+
Often not. Plenty of products are better served by a managed container service, a platform like Railway, or two virtual machines and a good deploy script. Kubernetes earns its place when you run several services, have steady traffic and have people to look after it. We will recommend the least infrastructure that does the job, and say so when that is less than you expected.
Which clouds do you work with?+
AWS most often, then Google Cloud, Azure and Hetzner. We work in whichever one you are already on, because moving clouds is rarely the cheapest fix for a cost or reliability problem. If we think a move is worth it, we will show you the case using your own bill before anyone migrates anything.
Can you cut our cloud bill without a migration?+
Usually, yes. Most of a bill that has grown unchecked is idle capacity, oversized instances, environments left running and data transfer nobody priced, and all of that is fixed where you already are. We will not promise a percentage before we have read the bill. After the first week we can tell you what is realistic and what it takes to get there.
Who is on call?+
Whoever the engagement says, in writing. While we run your infrastructure it can be us, with hours and response times agreed up front. If you are taking it in-house, the handover includes the runbooks, the alert routing and a rota your team can actually staff. We do not leave behind a pager that only we know how to answer.