01
Arif Mehmood
Founder & Principal Engineer
Shapes the first architecture decisions and keeps delivery teams honest about production risk.
Loading your next page…
Loading your next page…
We started MayaLogic because we wanted to work on real problems with serious teams — and we wanted to do it without the overhead, jargon, and theater that the consulting industry is famous for.
Founded
Engineers & designers
Products shipped
Continents served
MayaLogic was founded by a small group of engineers and product designers who had spent the previous decade inside fast-growing startups, banks, and enterprise IT departments. We had seen the same pattern repeat: ambitious roadmaps, capable people, and software that quietly failed to live up to either.
We started the firm with a simple bet: that a small, senior, opinionated team — paid to care about the outcome rather than the hours — could outperform a much larger one. More than fifteen years and over a hundred products later, that bet has held.
Today we are a team of more than sixty engineers, designers, data scientists, and SREs working with clients on four continents — from seed-stage founders to publicly listed enterprises modernizing their software estate.
Care about the outcome. Make the work visible. Leave the system stronger.
Arif Mehmood
Founder & Principal Engineer
“We built MayaLogic on one stubborn belief: a small, senior team paid to care about the outcome will out-ship a much larger one paid by the hour.”
Everything here follows from that — how we scope the first slice, who we actually put on your work, and what we refuse to cut when a deadline gets tight. If that is the kind of team you want in the room, I would like to hear what you are building.
Arif Mehmood · Founder & Principal Engineer
Every engagement has visible technical leadership from people who have shipped, operated, and modernized systems under real constraints.
Founder & Principal Engineer
Shapes the first architecture decisions and keeps delivery teams honest about production risk.
President · AI & Data Practice Lead
Builds evaluated AI systems where retrieval quality, cost, and user trust are measurable.
Technical Director, Cloud & Platform
Turns fragile infrastructure into secure, observable platforms that client teams can own.
Head of Product Design
Connects research, accessibility, and design systems so products feel coherent after launch.
Help ambitious teams ship software that earns trust — software that is fast, accessible, observable, and a pleasure for the next engineer to work on.
A world where the default outcome of a software engagement is a team that ships, not a deck that explains why they did not.
Small senior teams. Weekly working demos. Code and infrastructure you own from day one. No surprises in the invoice or the runbook.
We do not sell blended squads. We assemble named specialists around the outcome, then make responsibilities explicit from discovery through handover.
Owns architecture, delivery risk, stakeholder trade-offs, and the final engineering bar for the engagement.
Ship production code, write tests, instrument the system, and leave patterns the client team can extend.
Runs lightweight research, maps flows, maintains design-system quality, and validates usability every release.
Sets CI/CD, cloud, observability, security controls, and runbooks before launch pressure arrives.
Keeps scope, decisions, budget, and weekly demos visible without adding project-management theater.
Join reviews, own domain decisions, and receive the system gradually rather than in a final handover.
We will not bend these to win business. They are how we hire and how we decide.
We surface bad news the moment we see it. Optimism does not ship features; engineering does.
Every engagement is staffed with people who have seen the failure modes before.
Working software is the unit of progress. Anything else is a leading indicator.
We prefer obvious, well-trodden choices and reserve novelty for where it actually pays.
Code, infrastructure, and docs are written for the engineer who has not been hired yet.
We grow because clients ask us back. That keeps us honest more than any sales target could.
Our culture is not a poster. It shows up in pull requests, incident reviews, architecture notes, and the way a week of work is demonstrated.
Prefer simple architecture, typed boundaries, automated tests, accessible UI, and observability before cleverness.
Weekly working demos, written decision records, risk reviews, and a visible release plan from the first sprint.
Every meaningful change gets peer review for behavior, security, performance, readability, and ownership transfer.
2008
Started with four engineers and one product designer working out of a single room above a bookshop.
2012
Re-platformed a 12-year-old healthcare claims system; cut release cycles from quarterly to weekly.
2022
Stood up our applied ML practice; first production RAG systems for regulated industries followed within months.
2024
Shipped our 100th product. Client retention crossed 95% on a trailing-twelve-month basis.
2026
Engineers and designers across four continents, working with clients from seed-stage to enterprise. Client retention now holds at 98%.
Long engagements happen because the client keeps getting clearer systems, better decisions, and fewer surprises.
Named senior people stay close to the work instead of disappearing after sales.
Clients see working software, risks, and budget movement every week.
We document trade-offs and hand over code in repositories and cloud accounts they own.
Teams can expand or taper without losing the technical context of the engagement.
“It felt like hiring an engineering leadership team without the equity dilution.”
“They told us what we did not want to hear in week one, and that is exactly why we trusted them by week ten.”
“Documentation, runbooks, code quality — all the things we asked for in the RFP and never expected to actually get.”
Join the team
We hire senior engineers, designers, and SREs who care about how software behaves in production.