
Work with microservices engineers who help product teams, engineering leads, and technology organisations build scalable, independently deployable backend systems across cloud and hybrid environments.
Our teams help organisations modernise backend systems, break down monolithic applications, implement service-based architectures, and manage production-grade microservices across cloud and hybrid infrastructures.
Engineering teams operating across multiple regions need microservices engineers who can integrate directly into active development cycles, contribute consistently across release schedules, and stay aligned with evolving product roadmaps.
Our microservices engineers work alongside product owners, engineering managers, and in-house development teams through a dedicated offshore model - supporting backend modernisation initiatives, platform expansion, and long-term product development without adding coordination overhead to existing workflows.





















From architecture planning to active engineering execution across distributed application environments.
Share your application architecture, engineering objectives, scalability requirements, and existing platform challenges.
Engineers are matched to your technology stack, service architecture, development workflows, and engineering priorities.
Agree on communication cadence, development standards, deployment workflows, and collaboration expectations before execution begins.
Engineers begin contributing across service development, integrations, platform enhancements, and ongoing engineering activities within your active production environment.
MyGlamm's existing monolith backend had reached a point where scale, release velocity, and feature complexity required a move to a microservices architecture.
Our team planned and executed the full migration, applying microservices structural patterns to decompose the monolith into independently deployable services, implementing RabbitMQ for asynchronous service communication, containerising workloads with Docker, and integrating Elasticsearch for product search across the platform. Existing data was migrated to the new architecture without disrupting live operations

Best for product teams designing service-based applications from the ground up, defining service boundaries, and structuring distributed backend systems before development begins.
Ideal for engineering teams moving away from tightly coupled monolithic applications where the priority is incremental service extraction without disrupting active production systems.
For teams managing containerised workloads at scale, requiring deployment automation, cluster management, and production environment orchestration across cloud or hybrid infrastructure.
Microservices engineers need to understand how individual services connect to wider business workflows, api gateway patterns, and product priorities. Our engineers contribute with that broader context in place, helping teams avoid service boundary mistakes that become expensive to unwind later.
Building one service is different from managing how multiple services interact, version, and deploy together. Our teams have worked across service decomposition, inter-service communication, event-driven workflows, and phased migrations, bringing experience across the full delivery surface, not just isolated development tasks.
The engineers who design your service boundaries remain involved through implementation, integration, and production. When a service dependency changes or a new business requirement affects multiple services, the team that understands the original architecture is already in place, reducing the cost of change across longer engagements.
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Service decomposition, domain-driven boundary definition, and communication pattern design are structured around business workflows and data ownership, with microservices language selection, giving engineering teams a foundation that scales without re-architecting later
Business functions are incrementally extracted from tightly coupled applications, with migration planning, dependency identification, and phased service adoption managed to keep existing operations running throughout the transition.
REST API implementations, service-to-service communication layers, authentication workflows, third-party integrations, and gateway implementations are built to connect distributed application components reliably across the wider system.
Message-driven workflows, asynchronous processing pipelines, event publishing, and background job coordination are implemented using RabbitMQ, Kafka, or equivalent distributed messaging systems based on platform requirements.
Container orchestration, environment standardisation, release pipeline configuration, service discovery, and production deployment management across Docker and Kubernetes environments supporting active application workloads.
Service enhancements, dependency upgrades, performance improvements, operational issue resolution, and monitoring support across active microservices environments as platforms evolve and business requirements change.
Designed for businesses requiring consistent engineering involvement across active product roadmaps, backend initiatives, and ongoing development priorities.
The engineer owns the full microservices engagement from service boundary decisions and inter-service communication patterns to deployment configuration and production support. Architectural knowledge stays with the same person throughout.
Works within your existing agile workflow, attends standups, contributes to sprint planning, and ships with your team rather than alongside it. No separate process to manage or reconcile with your permanent team.
Same engineer, same context, every sprint. Architectural decisions, service dependencies, and codebase history stay with the developer across the entire engagement, with no knowledge gaps from handoffs.
A dedicated product engineer works solely on your product throughout the engagement, not split across multiple clients or projects. Engineering attention stays where your product needs it most.
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Microservices adoption often evolves alongside product maturity, engineering team structure, and operational requirements.
When release cycles slow down because every change touches everything, the architecture has become the bottleneck. Code B works with scaling teams to define service boundaries around the functions growing fastest — giving engineers the ability to ship independently without dismantling what's already working.
Platforms with active roadmaps often have a distributed architecture, but not the specialist depth to manage it well. Code B adds microservices engineering capacity across deployment, event-driven systems, and service mesh, filling the capability gaps that accumulate as platform complexity outpaces headcount.

Large monolithic applications carry years of accumulated business logic and tightly coupled dependencies that can't go offline during migration. Code B manages legacy modernisation through phased service extraction, starting with the functions that carry the most independent scaling value and maintaining production stability throughout.
They have strong expertise in the latest technologies and provide excellent guidance in using them effectively.
CODE B launches the products quickly, and their solutions have excellent architecture and are scalable.
CODE B is proactive in coming up with solutions.
Aside from getting the job done, they’re able to provide their expertise and share their opinion.
They’re a very bright team that requires minimal levels of communication or time investment to be very effective.
Their constant communication was a key aspect of the success.
They completed the project within the timeline we gave them, and they did it within budget.
Had a great experience working with the team and in times of crisis, CODE B team was always there to support us.
The way that they have supported us by giving us one of their developers to work directly with our development team.
Our overall experience has been very positive.
They are friendly and reliable.
The ability to deliver on time impressed us the most.
They’re excellent at what they do and come up with solutions for various problems.
CODE B will work overtime to resolve issues, which is a difficult trait to find.
Code B’s communicative.
I’ve had a great experience working with CODE B
The main positive point of working with CODE B team is their analyzing skills.
They are receptive and try to adjust to meet our requirements.