Cloud infrastructure and DevOps in Boston
Research compute is the line on a Boston biotech's cloud bill that nobody can explain. A genomics or imaging pipeline was set up during a crunch, GPU instances were left running after the experiment finished, and storage keeps growing because nobody is sure which intermediate files are safe to delete. Access grew the same way: a login per postdoc, shared keys in a notebook, and nobody sure who still has what.
We bring the infrastructure under Terraform, so what runs is written down and reviewed. Batch compute scales to zero when the queue is empty. Storage gets lifecycle rules agreed with the scientists who own the data. Access moves behind your identity provider with multi-factor sign-in, and logs go somewhere that alerts when it matters. The bill starts to track the science, and when a partner or an investor asks how the platform is run, the answer is in the code.
Boston's software buyers mostly work in science, medicine, education and money: biotech and pharmaceutical companies in Cambridge and the Seaport, the hospital systems, digital health start-ups, the universities and the companies spun out of them, and the asset managers and insurers downtown. In most of them, software supports something else, an experiment, a patient or a portfolio. The people who commission it are often scientists and clinicians, many of whom write some code themselves and know exactly what they need the data to do. What they want from an engineer is not a new idea. It is the idea they already have, made reliable.
The work follows the science. Biotech labs need instrument output picked up as it lands and linked to the notebook entry that explains it, and internal tools that stay fast on thousands of assay results. Digital health companies need a backend that can read from a hospital's records system, and patient apps that save offline and keep the time each entry was made. Edtech companies selling to universities need platforms that know a teaching assistant from a department administrator. Lab suppliers need commerce that runs on purchase orders and negotiated prices, and the investment firms downtown need internal tools to replace the workbooks that run their operations.
Hiring has its own shape. Built In puts the average software engineer base salary in Boston at about $137,000, and the city's engineers are pulled between big tech offices, well-funded biotech and university spin-outs. The universities keep research talent in good supply. What teams more often lack is someone who has taken a system from a notebook or a prototype to something that runs unattended, is monitored, and survives its author going back to the lab. That gap, between a result that works once and a system that keeps working, is where we are most useful.
We are in Bengaluru and move our working day for Boston. Four hours of every working day overlap with your morning in Eastern time, stand-up included, so questions, reviews and decisions happen live with the engineer who writes the code. Runbooks and architecture notes are written as we go, so the system keeps running when the people who commissioned it go back to the lab.
We are the right fit for the gap between a result that works once and a system that keeps working: a pipeline, a hospital integration, a patient app, an internal tool. Senior capacity starts within days, the first piece is a fixed-price two-week engagement, and it can carry you from a funding round or grant to your first engineering hire.
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 Boston teams.
How do you work with teams in Boston?+
We are in Bengaluru and move our working day for Boston, so four hours of every working day overlap with your morning in Eastern time, stand-up included. We join your Slack, push to your GitHub and track the work in your Linear, so progress shows up where your team already looks. The person on every call is the engineer who writes the code, whether you are a scientist, a clinician or a CTO.
Do you build for Boston's biotech and life sciences companies?+
Yes. The work is usually the software around the science: pipelines that pick up plate reader, sequencer and imaging output as it lands and link it to the notebook entry, internal tools that stay fast on thousands of assay results, and search over protocols and SOPs that always cites the current version. We work alongside your computational scientists, turning what already works in their notebooks into systems that run unattended.
How does your rate compare to hiring in Boston?+
Built In puts the average software engineer base salary in Boston at about $137,000, before bonus 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 it produces.
What do the first two weeks look like?+
You share the context: the code, the data and the problem. Within two days you have a 30-minute call with the engineer who would do the work, and within a week a written plan. Then comes a fixed-price two-week piece at $2,800, such as turning one notebook or prototype into something that runs on its own. At the end you have working code in your repository, notes on how it runs, and a clear view of what comes next.
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.