Why we exist
Most outsourcing fails
in the same place.
You meet a strong team during sales. The contract is signed. Then the people you met move to the next pitch, and the work is handed to whoever is on the bench.
Everyone in this industry knows this happens. Clients budget for the drop in quality, add extra review, and accept that the first two months will be spent correcting work. That is a lot of wasted money, and it is avoidable.
DDP Labs is built so that it cannot happen here.We have twelve engineers and no junior bench to hand work down to. If we don't have the right person free, we say so and tell you when we will. We have turned down work for this reason and will again.
It makes us slower to scale than our competitors. It is also why more than two-thirds of our work comes from clients who have hired us before.
We would rather lose the work than staff it with someone we wouldn't hire twice.
The expensive constraint, and the one we keep
How we operate
Six principles
we actually apply.
Not values on a wall. Each of these has cost us money at least once. That is how you know they are real.
Senior only, permanently employed
No contractors assembled per project, no juniors billed as mid-level. Everyone is on staff. We carry the cost between engagements, so we have every reason to put people on work that actually suits them.
Say the difficult thing early
If the scope is wrong, the deadline isn't realistic, or you don't need us yet, you hear it in the first conversation. We lose work this way. It also means that when we say something will work, it means something.
Write things down
Decisions, reasoning, runbooks, handovers. In outsourced engineering the knowledge has to survive the engagement, or you have bought a temporary result at a permanent price.
Publish what others hide
Rates, engagement terms, notice periods, and the projects that went wrong. Most people in this industry will not publish those. We do.
Build for the handover
The measure of a finished engagement is whether your team can run and change the system without us. Building a dependency is a short-term business model. We are not interested in it.
Boring where it counts
Proven tech for the parts that must not fail, so novelty is spent where it actually helps your product. We will talk you out of interesting infrastructure choices. Repeatedly.
The team
Who you'd
actually work with.
You meet the engineers before you commit, and you can interview them. Below is the shape of the studio. Individual profiles go here.
Note for review: put real names, photos and links for your twelve engineers here. Named people beat an anonymous studio.
Technical lead
Architecture & delivery
Owns sequencing on pod engagements and is your single point of contact. Sits in your planning, not just ours.
AI engineer
Retrieval, evaluation, agents
Builds the evaluation set before the feature, and tells you when a database query would do the job better.
Full-stack engineer
Product & platform
The most common seat we place. Works in your repository, your board and your review queue from week one.
Data engineer
Pipelines & warehousing
Makes reporting agree with production, then writes the runbooks so your team can keep it that way.
How we hire
Slowly, and
with a real project.
We hire perhaps two engineers a year. Candidates work through a paid, realistic problem, not whiteboard puzzles, and they talk to the engineers they would sit next to. Same standard we ask you to apply to us.
The bar is not only technical. We look for people who will tell a client something they don't want to hear, in the first meeting, politely. That is harder to find than a strong engineer, and the whole model depends on it.
If you are an engineer who recognises that description, we would like to hear from you even when nothing is posted. hello@ddplabs.in
Where we work
India, with the day
arranged around you.
You choose how much of the day overlaps. Some clients want four hours of live time; others prefer written updates and no meetings at all. We'll tell you which suits the work.
We are remote-first internally, so the habits that make distributed teams work (written updates, decisions recorded, async by default) are how we already work, not something we adopt for you.