About AlgoDomain Solutions
We are a software engineering and technology consulting company. We build software, modernize platforms, design data systems, and improve the engineering practices of organizations that depend on technology to operate.
What we do
Engineering and consulting, without the overhead
AlgoDomain Solutions works with mid-market and enterprise organisations on technology programmes where the engineering matters. We're not a generalist staffing firm, and we don't operate at arm's length from delivery. Our teams embed alongside client engineers, participate in planning, and share accountability for the quality of what gets shipped.
Our work spans software development, cloud migration and infrastructure, data platform engineering, application modernization, enterprise integration, DevOps, quality engineering, and AI/ML. Most of our engagements involve more than one of these — not because we're trying to expand scope, but because technology problems in real organisations rarely sit cleanly within one category.
We have worked extensively in financial services, healthcare, retail, manufacturing, logistics, and technology sectors. The regulatory and operational complexity of these industries shapes how we work — security-aware, audit-conscious, and cautious about changes that carry operational risk.
How we engage
Discovery & scoping
We understand the technical landscape and the business problem before committing to an approach.
Embedded delivery
Engineers work within your team structures, not in a separate workstream you need to coordinate with.
Knowledge transfer
We build for the client's team to own and operate — documentation, training, and handover are part of scope.
Ongoing partnership
Many clients retain us for ongoing work after the initial programme — we stay available for the problems that come next.
Our mission
"To build technology that organisations can actually operate — reliable, maintainable, and understood by the people responsible for it."
This sounds straightforward, but most technology projects fail on exactly this dimension. Code gets delivered that nobody understands. Platforms get built that nobody can change safely. Systems get migrated that were never properly documented. We try to leave things better than we found them, and measurably so.
Engineering philosophy
How we think about building software
These aren't values statements. They're positions we hold and apply in practice — positions that sometimes create friction with clients in the short term but produce better outcomes over time.
Test coverage is not optional
Software without adequate test coverage is a liability, not an asset. It constrains every future change. We don't accept scope that excludes tests, and we don't deliver code we haven't validated. This applies to every engagement regardless of timeline pressure.
Architecture decisions need to be justified
We don't use technologies because they're popular or because a vendor is promoting them. Every significant architectural decision gets documented with the reasoning and the alternatives considered. This gives clients and future engineers the context to revisit decisions when circumstances change.
Operational considerations come first
Code that works in development but can't be operated in production is not finished. Observability, deployment processes, error handling, and runbooks are part of the deliverable — not afterthoughts. We design for the team that will operate the system, not just the engineer who writes it.
Incremental delivery reduces risk
We bias toward approaches that deliver working software into production incrementally rather than large-batch releases. This isn't because it's a methodology — it's because it surfaces integration problems early, maintains a working baseline, and gives clients something to test against real usage as the programme progresses.
Complexity has a cost
We resist the instinct to add architectural sophistication beyond what the problem requires. Microservices are not appropriate for every application. Kubernetes is not appropriate for every infrastructure. Event-driven architecture is not appropriate for every integration. We choose the simplest approach that meets the stated requirements and the expected growth trajectory.
Security is built in, not bolted on
Security considerations — authentication, authorisation, data protection, dependency management, secret handling — are applied from the start of any engagement. We don't treat security as a compliance checkbox at the end of a project. This is especially important in financial services, healthcare, and any context handling regulated data.
How we work
Embedded, not outsourced
There's a meaningful difference between a consulting firm that manages work externally and an engineering team that works inside yours. We operate as the latter. AlgoDomain engineers attend standups, participate in sprint planning, review architecture decisions with internal teams, and are present in the communication channels where technical decisions happen.
This isn't just a preference — it's a practical requirement for the kind of work we do. Modernizing a legacy system, migrating a data platform, or building new capabilities on existing infrastructure requires deep familiarity with the codebase, the domain model, and the operational context. You can't acquire that from a weekly status call.
We use flexible engagement models — from short discovery engagements and architecture reviews to multi-year embedded programmes. Pricing can be structured as time-and-materials, fixed-scope delivery, or retained capacity, depending on what's appropriate for the engagement.
Global delivery
Where our teams are
AlgoDomain has engineering teams in Chicago (headquarters), London, Kraków, and Bangalore. Most engagements involve engineers from multiple locations — we configure delivery teams based on the skills required, the timezone overlap with the client, and the nature of the work.
For clients with strong data residency or access requirements, we can configure all delivery from specific geographies. We have the SOC 2 Type II and ISO 27001 controls in place to meet enterprise security procurement requirements.
For US-based clients requiring onshore teams, we have the capacity to staff engagements entirely from Chicago and other North American locations. For UK and European clients, our London and Kraków teams provide strong timezone alignment.
What we work on
Our core capabilities
Software Development
Custom software in Java, Python, JavaScript, and .NET. Backend services, APIs, and platform components for enterprise systems.
Cloud & Infrastructure
Cloud migration, cloud-native architecture, and infrastructure-as-code on AWS, Azure, and GCP.
Data & Analytics
Data platform engineering, pipelines, transformation layers, and analytics infrastructure for organisations that need reliable data.
Application Modernization
Legacy system decomposition, monolith-to-microservices migration, and technical debt remediation on production platforms.
AI & Machine Learning
ML model development, MLOps infrastructure, and deployment of AI capabilities into production systems at scale.
DevOps & Platform
CI/CD pipeline design, Kubernetes platform engineering, infrastructure automation, and observability tooling.
Enterprise Integration
API management, middleware, event-driven architectures, and system connectivity across complex enterprise landscapes.
Quality Engineering
Test automation strategy, performance testing, and quality frameworks that give teams confidence to release frequently.
The team
Leadership
Marcus Chen
Chief Executive Officer
Sarah Okonkwo
Chief Technology Officer
Daniel Warrick
VP Engineering Delivery
Priya Nair
VP Client Partnerships