Hiring mainframe developers through Ryz gets you a senior team that takes business functions off the mainframe and rebuilds them as modern code your engineers own. They are top 1% of the tens of thousands of engineers we have interviewed, they work on your team, and they keep US business hours, including New York hours.
Most of what we do is build modern systems from scratch, and that is the skill a mainframe exit needs. The mainframe already exposes what the business depends on: CICS transactions, batch jobs and their file layouts, MQ messages and copybook data structures. Our approach is API-first. We capture those interfaces, re-implement them as modern services and keep the interfaces the rest of the business relies on. Around that work our engineers use Python, Java, Postgres, Kafka, IBM MQ and AWS or Azure. Typical work:
We start with the map, not a target architecture. Talk covers what runs on the mainframe, what calls it, which functions change most often and which deadlines matter. You get a written scope with the first slices, a price and the names of the people we would assign.
Match builds a team for that estate: usually a tech lead, engineers who read COBOL and JCL, modern-stack service engineers and a data engineer. Join is your repos, cloud accounts and mainframe test environments, with access you control. Grow adds slices, or hands the finished system to your team. You own all code and IP the team produces.
Recruiters source engineers who have changed production mainframe systems or rebuilt them, and they check what each person owned. ARC, our in-house system, ranks the pipeline. Candidates complete a structured NTRVSTA AI interview on mainframe internals, data formats and modern service design. Recruiters review every candidate before and after the interview and assemble a curated shortlist. AI scores are advisory. People decide.
Ryz is not the right fit if you want to keep running the mainframe and need operations or hosting, or if you want automated conversion that turns COBOL into translated code. We don't operate mainframes or sell conversion tooling.
A mainframe exit needs two kinds of engineer in one team: people who know the old platform and people who build modern services. Latin America has both, because its larger financial institutions and insurers have run mainframes for decades while its engineers have spent years building cloud software for US companies.
Parallel runs and cutovers happen on your schedule. Our team works US business hours, so it is online when the morning reconciliation report lands and when your operations team makes the call to move a slice.
Our case studies are production systems Ryz teams built and plugged into what clients already run, from a voice platform connected to existing case management tools to fraud scoring on a client's invoice data. None of them is a mainframe exit, and we don't claim one is.
They show the same work a rebuild depends on: new services built from scratch, integrated with systems that cannot stop, and checked against real results before the business relies on them. Our AI pod teams can also take on LLM-assisted code analysis, with engineers reviewing every result.
Start here if you are still choosing an approach.
No. Big-bang rewrites fail because they try to rebuild decades of rules at once. We move one slice at a time, run old and new side by side and switch only when outputs match.
Usually Python, or Java or another current stack if that is what your team runs. The goal is code your own engineers can maintain after we hand it over.
$7,000 to $15,000 per engineer per month, scoped per team. Before you sign, you get a plan, a price and the names of the people on the team.
US business hours, including New York hours. Ryz engineers work on your team, reporting to your leads. Talk to us to scope your team.
Questions we didn't answer? Email info@ryzlabs.com.
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